Policies_Plans
sequence | lang
dict | Target
sequence | Alpha3
stringlengths 3
3
| Country
stringlengths 4
41
| Mitigation
sequence | IkiInfo
sequence | Source
sequence | Adaptation
sequence | sentence
stringlengths 53
695
| context
stringlengths 53
3.41k
| Action
sequence | Document
sequence | ResponseText
sequence | CWInfo
list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
0,
2
] | {
"label": "en-US",
"score": 0.9999377728
} | [
0,
2
] | CPV | Cape Verde | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | the construction (or retrofitting/expansion) of at least 4 wastewater treatment plants and water re-use facilities. Seek to establish a systematized electronic database for storage and management of relevant water-related information as well as a framework for measuring, reporting and verification (MRV) to assess water-relevant data and to better evaluate performance | the construction (or retrofitting/expansion) of at least 4 wastewater treatment plants and water re-use facilities. Seek to establish a systematized electronic database for storage and management of relevant water-related information as well as a framework for measuring, reporting and verification (MRV) to assess water-relevant data and to better evaluate performance in the sector;. Seek to build several new desalination and water pumping units. With progressive increase of RE penetration in the grid, overall energy costs are expected to reduce, decreasing also potable water supply and irrigation costs. | [
2,
0
] | [
"First NDC"
] | [
"Water and sanitation management: \"Seek to establish a systematized electronic database for storage and management of relevant water-related information as well as a framework for measuring, reporting and verification (MRV) to assess water-relevant data and to better evaluate performance in the sector"
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Water management"
},
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999383688
} | [
0,
1
] | CPV | Cape Verde | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | the construction (or retrofitting/expansion) of at least 4 wastewater treatment plants and water re-use facilities; Seek to establish a systematized electronic database for storage and management of relevant water-related information, including a MRV to assess water-relevant data and to better evaluate performance in the sector; Seek to build several new | the construction (or retrofitting/expansion) of at least 4 wastewater treatment plants and water re-use facilities; Seek to establish a systematized electronic database for storage and management of relevant water-related information, including a MRV to assess water-relevant data and to better evaluate performance in the sector; Seek to build several new desalination and water pumping units. With progressive increase of RE penetration in the grid, overall energy costs are expected to reduce, decreasing also potable water supply and irrigation costs. | [
1,
0
] | [
"INDC"
] | [
"Build at least 5 new dams, water pumping units, and water re-use facilities."
] | [
[
{
"Alpha2": "CV",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_ConAct",
"QuestionDefinition": "Condition actions of the sectoral level",
"QuestionText": "Sectoral Conditional Actions",
"Sector": "Water",
"SubSector": "Water supply"
}
]
] |
[
2,
1
] | {
"label": "en-US",
"score": 0.9999338388
} | [
0,
3
] | MLI | Mali | [
2,
1
] | [
[
null
],
[
null,
null
]
] | [
"CW"
] | [
1,
2
] | the development of an intelligent agriculture and resilient to the domatic changes, for the hydro-agricultural development of 92 000 ha in the context of a sustainable management of the lands with the commitment of the State to devote 15% of the National Budget to agriculture;. pastoral development resilient to the | the development of an intelligent agriculture and resilient to the domatic changes, for the hydro-agricultural development of 92 000 ha in the context of a sustainable management of the lands with the commitment of the State to devote 15% of the National Budget to agriculture;. pastoral development resilient to the changes of the land aiming at the materialization of 3,300 km of transhumance axes in order to reduce conflicts between farmers and pastoralists, the construction of 21 perimeters and pastoral areas with a total area of 400,000 ha;. | [
1,
2
] | [
"First NDC"
] | [
"\"the development of intelligent agriculture that is resilient to climate change, for the hydro-agricultural development of 92,000 ha in the context of sustainable land management with the commitment of the State to devote 15% of the total. National budget for agriculture",
"Le Programme national d'aménagement pastoral résilient aux Changements Climatiques"
] | [
[
{
"Alpha2": "ML",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
}
],
[
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol2",
"QuestionDefinition": "Information on the existing upstream sectoral policies that the NDC builds on",
"QuestionText": "Existing sectoral policies",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol2",
"QuestionDefinition": "Information on the existing upstream sectoral policies that the NDC builds on",
"QuestionText": "Existing sectoral policies",
"Sector": "Agriculture",
"SubSector": "Fertilizers"
}
]
] |
[
1,
8
] | {
"label": "en-US",
"score": 0.9999043941
} | [
2,
7
] | MLI | Mali | [
9,
0
] | [
[
null,
null,
null
],
[
null,
null,
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
9
] | the large-scale renewable energy upgrading program (SREP) for US $ 258 million;. The Manantali II project will be carried out between 2016 and 2021 and will cost $ 150 million;. The project of village electrification by renewable energy system that will be carried out between 2015 and 2020 and will | the large-scale renewable energy upgrading program (SREP) for US $ 258 million;. The Manantali II project will be carried out between 2016 and 2021 and will cost $ 150 million;. The project of village electrification by renewable energy system that will be carried out between 2015 and 2020 and will cost US $ 7.2 million;. | [
2,
7
] | [
"First NDC"
] | [
"258",
"7.2",
"Manatali II project (2016-2021)<br>Kénié hydropower project",
"The large-scale renewable energy upgrading program (SREP)",
"project of village electrification by renewable energy system"
] | [
[
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol12",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral upstream policy",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy"
},
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol13",
"QuestionDefinition": "Estimated cost of implementation for the conditional part of a given sectoral policy",
"QuestionText": "Estimated costs for implementation (conditional)",
"Sector": "Energy",
"SubSector": "Renewable Energy"
},
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol7",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral upstream policy",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy"
},
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct12",
"QuestionDefinition": "Estimated cost of implementation for the conditional part of a given sectoral downstream action ",
"QuestionText": "Estimated costs for implementation (conditional)",
"Sector": "Energy",
"SubSector": "Renewable Energy"
},
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "ML",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999376535
} | [
0,
1
] | GBR | United Kingdom | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 14, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Transport system improvements', 'g7': 'G7', 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Freight', 'a_s_i': 'Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Freight transport shifting to rail of inland waterways', 'mode_water': nan, 'mode_truck': 'x', 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_Railfreight', 'mode_private_cars': nan, 'category': 'Freight efficiency improvements', 'mode_rail': 'x', 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | the potential to reduce emissions by growing rail freight and reducing HGV journeys. We will accelerate our activity to enable cost- effective options for shifting more freight from road to rail, including using low emission rail freight for deliveries into urban areas, with zero emission last mile deliveries. | the potential to reduce emissions by growing rail freight and reducing HGV journeys. We will accelerate our activity to enable cost- effective options for shifting more freight from road to rail, including using low emission rail freight for deliveries into urban areas, with zero emission last mile deliveries. | [
0,
0
] | [
"LTS"
] | [
"29. Work to enable cost-effective options for shifting more freight from road to rail, including using low emission rail freight for deliveries into urban areas, with zero emission last mile deliveries "
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999177456
} | [
2,
0
] | MLT | Malta | [
0,
2
] | [
[
"{'g7': 0, 'IkiSheet': 'netzero', 'page_number': 20, 'target_year': 2050.0, 'region': 'Europe', 'parameter': 'T_Netzero', 'ice_phaseout_target': nan, 'oecd': 'non-OECD', 'target_type': 'T_FL', 'ghg_total': 1.0436021781876, 'income_group': 'High-income', 'g20': 0, 'annex_type': 'Annex I', 'ghg_transport': 0.34694393182}",
"{'annex_type': 'Annex I', 'IkiSheet': 'targets', 'page_number': 20, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2050, 'country_netzero target_exists': 'x', 'country_summary_transport_targets': nan, 'target_type': 'T_FL', 'oecd': 'non-OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 0, 'region': 'Europe', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 1.0436021781876, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 0.34694393182}"
]
] | [
"IKITracs"
] | [
0,
2
] | the ratio of abatement potential against incremental cost of measure), and stakeholders consulted, leading to a list of realistic and cost-effective measures which are to be implemented in the years to come. The Strategy aims to move towards climate neutrality by 2050 in line with Malta’s contribution to EU-wide goals. | the ratio of abatement potential against incremental cost of measure), and stakeholders consulted, leading to a list of realistic and cost-effective measures which are to be implemented in the years to come. The Strategy aims to move towards climate neutrality by 2050 in line with Malta’s contribution to EU-wide goals. Carbon neutrality is also one of Malta’s pillars for economic growth and recovery from the COVID-19 pandemic. | [
0,
0
] | [
"LTS"
] | [
"The Strategy aims to move towards climate neutrality by 2050 in line with Malta’s contribution to EU-wide goals"
] | [
[
null,
null
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999302626
} | [
0,
4
] | MLI | Mali | [
0,
4
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
4,
0
] | the supply of drinking water by solar energy from agro-pastoral communities;. strengthening the resilience of women producer groups and communities vulnerable to climate change;. Research and Development on Adaptation of Agriculture and Livestock to Climate Change. the management of natural resources in a context of climate change. The costs of | the supply of drinking water by solar energy from agro-pastoral communities;. strengthening the resilience of women producer groups and communities vulnerable to climate change;. Research and Development on Adaptation of Agriculture and Livestock to Climate Change. the management of natural resources in a context of climate change. The costs of adaptation needs to be sought for the 2015-2020 period are those related to the 2014 World Climate Summit. | [
4,
0
] | [
"First NDC"
] | [
"\"Research and Development on adaptation of agriculture and livestock to climate change\" (22)",
"\"The management of natural resources in a context of climate change.\" (22)",
"\"The supply of drinking water by solar energy to agro-pastoral communities\" (22)",
"\"strengthening the resilience of groups of women producers and communities vulnerable to climate change\" (22)"
] | [
[
{
"Alpha2": "ML",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "ML",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Environment",
"SubSector": "Environment: General"
}
],
[
{
"Alpha2": "ML",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Water supply"
}
],
[
{
"Alpha2": "ML",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Social Development",
"SubSector": "Gender"
}
]
] |
[
1,
1
] | {
"label": "en-US",
"score": 0.9999289513
} | [
1,
1
] | MUS | Mauritius | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | the total phasing out of use of coal before 2030 and the development of the biomass framework;. an increase in energy efficiency by 10 %, based on the 2019 figures. ADAPTATION. 10. | the total phasing out of use of coal before 2030 and the development of the biomass framework;. an increase in energy efficiency by 10 %, based on the 2019 figures. ADAPTATION. 10. | [
0,
2
] | [
"Revised First NDC"
] | [
"The total phasing out of use of coal before 2030 and the development of the biomass framework"
] | [
[
{
"Alpha2": "MU",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency"
},
{
"Alpha2": "MU",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Biofuels"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999349117
} | [
0,
1
] | TGO | Togo | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | the updating and implementation of the National Adaptation Programme of Action for climate change, and. the definition and implementation of a low carbon emissions development strategy to engage the country in long term mitigation actions;. Sustainable management of the coastal zone; and. Sustainable management of living conditions, including housing and | the updating and implementation of the National Adaptation Programme of Action for climate change, and. the definition and implementation of a low carbon emissions development strategy to engage the country in long term mitigation actions;. Sustainable management of the coastal zone; and. Sustainable management of living conditions, including housing and waste. It should also be noted that climate change has been targeted as one of the five risks identified for the implementation of SCAPE. However, provisions have also been introduced to account for mitigation actions on the said risks. | [
0,
1
] | [
"First NDC"
] | [
"Helping small scale producers manage risks from increased variability and climate shocks"
] | [
[
{
"Alpha2": "TG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999339581
} | [
1,
1
] | KHM | Cambodia | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | they are likely to be more exposed by the direct discharge of IWW in local waterways as they are primarily responsible for cooking and washing. 5, 8, 9,. 11. 12. Application of electrical. equipment labelling & MEPS (Lighting, Cooling &Equipment). Energy. Ministry of Mines and Energy (MME). Increase market share | they are likely to be more exposed by the direct discharge of IWW in local waterways as they are primarily responsible for cooking and washing. 5, 8, 9,. 11. 12. Application of electrical. equipment labelling & MEPS (Lighting, Cooling &Equipment). Energy. Ministry of Mines and Energy (MME). Increase market share of higher-class efficient appliances. 1 Mt CO2e/year. Reduce 1.2 TWh (29.7%) of. electricity use in. 2030. Labelling and standard product information of the consumption of energy. USD 250 million. USD 280 million. | [
0,
2
] | [
"Revised First NDC"
] | [
"\"Application of electrical equipment’s labelling & MEPS (Lighting, Cooling & Equipment) Reduce 1.2 TWh (29.7%) of electricity use in 2030\": \"1 Mt CO2e/year\"",
"\"Application of electrical equipment’s labelling & MEPS (Lighting, Cooling & Equipment) Reduce 1.2 TWh (29.7%) of electricity use in 2030\": \"USD 250 million\""
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar4",
"QuestionDefinition": "emission reduction potential for a given sectoral target",
"QuestionText": "Emission reduction potential",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Appliances"
}
],
[
{
"Alpha2": "KH",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar5",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral target",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Appliances"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999332428
} | [
0,
1
] | VEN | Venezuela | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | this programme encourages the avoidance of leakage, one of the main causes of ozone depletion and global warming, and encourages conversion to natural substances. Currently the project continues its dissemination in the State of Mérida. Informative campaign for the promotion of eco-energy technologies with low global warming potential. Reconversion in | this programme encourages the avoidance of leakage, one of the main causes of ozone depletion and global warming, and encourages conversion to natural substances. Currently the project continues its dissemination in the State of Mérida. Informative campaign for the promotion of eco-energy technologies with low global warming potential. Reconversion in the Maternal and Child Hospital of Caricuao, the project began in 2018 executing the first phase, which consisted of the installation of an ice water system consisting of a "chiller" with a capacity of 5 tons of refrigeration and that uses as a refrigerant, R-290 (propane) and that supplies fresh air to the pediatric room B. During 2019, the planning was structured, associated with the execution of the second phase of the project, which consists of the reconversion and repowering of three (3) "chillers" of 20 Tr, which currently contain R-22 and will use R-290, once the work has been done. The areas of the hospital benefited from this project were: Operating Room A, Operating Room B, Recovery Room, Corridor connecting operating rooms A and B and the Recovery Room, Office Areas 20, Delivery and pre-delivery room. In the area of air conditioning, the Posada Puerto Escondido, located in Cepe, Aragua state, was converted using R-290, in twelve (12), window air conditioners with capacities between 10,000 and 12,000 BTU / h, this being an example that the refrigerant HC, can be applied safely in this type of equipment, as long as they comply with the safety standards and with the maximum refrigerant loads established in the UNE-EN-378 standard." | [
0,
1
] | [
"Revised First NDC"
] | [
"this programme encourages the avoidance of leakage, one of the main causes of ozone depletion and global warming, and encourages conversion to natural substances. Currently the project continues its dissemination in the State of Mérida. Informative campaign for the promotion of eco-energy technologies with low global warming potential. Reconversion in the Maternal and Child Hospital of Caricuao, the project began in 2018 executing the first phase, which consisted of the installation of an ice water system consisting of a \"chiller\" with a capacity of 5 tons of refrigeration and that uses as a refrigerant, R-290 (propane) and that supplies fresh air to the pediatric room B. During 2019, the planning was structured, associated with the execution of the second phase of the project, which consists of the reconversion and repowering of three (3) \"chillers\" of 20 Tr, which currently contain R-22 and will use R-290, once the work has been done. The areas of the hospital benefited from this project were: Operating Room A, Operating Room B, Recovery Room, Corridor connecting operating rooms A and B and the Recovery Room, Office Areas 20, Delivery and pre-delivery room. In the area of air conditioning, the Posada Puerto Escondido, located in Cepe, Aragua state, was converted using R-290, in twelve (12), window air conditioners with capacities between 10,000 and 12,000 BTU / h, this being an example that the refrigerant HC, can be applied safely in this type of equipment, as long as they comply with the safety standards and with the maximum refrigerant loads established in the UNE-EN-378 standard.\""
] | [
[
{
"Alpha2": "VE",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol2",
"QuestionDefinition": "Information on the existing upstream sectoral policies that the NDC builds on",
"QuestionText": "Existing sectoral policies",
"Sector": "Industries",
"SubSector": "HFCs"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.9998773336
} | [
2,
3
] | PNG | Papua New Guinea | [
0,
5
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
5,
0
] | tion and Diversification. Project, World. Bank, $40m (PGK136m),. tar-geted beneficiar-ies:20000. By 2025, at least 50% of direct beneficiaries. have applied commercial. and diversification planning in their. agriculture business. Project ap-proved 2020. DAL. World Bank. April 2020 –. December. 2025. 40. World Bank. Support committed. STREIT, EU 85m Euros,. target beneficiaries:250,000+ | tion and Diversification. Project, World. Bank, $40m (PGK136m),. tar-geted beneficiar-ies:20000. By 2025, at least 50% of direct beneficiaries. have applied commercial. and diversification planning in their. agriculture business. Project ap-proved 2020. DAL. World Bank. April 2020 –. December. 2025. 40. World Bank. Support committed. STREIT, EU 85m Euros,. target beneficiaries:250,000+ (25% are. women) (July 2020, Issue. No. 3). By 2025, at least 20% of beneficiaries. (20% are women) have increased. capacity to conduct agricul-ture. business. Ongoing. DAL. FAO, UNDP,. UNCDF, UN. Women,. DNPM, NFA,. Cocoa. Board,. Spice Board,. Provincial. gov-ernments. | [
2,
3
] | [
"Second NDC"
] | [
"\"By 2025, at least 20% of beneficiaries (20% are women) have increased capacity to conduct agriculture business\" (48)",
"\"By 2025, at least 50% of direct beneficiares have applied commercial and diversification planning in their agriculture business\" (48)",
"Agriculture: \"PNG Agriculture Commercialization and Diversification Project, World Bank, $40m (PGK136m), targeted beneficiaries: 20000\" (48)",
"Agriculture: \"STREIT, EU 85m Euros, target beneficiaries: 250,000 + (25% are women) July 2020, Issue No. 3)\" (48)",
"April 2020- December 2025"
] | [
[
{
"Alpha2": "PG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "PG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "PG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "PG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "PG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_time",
"QuestionDefinition": "Time frame",
"QuestionText": "Time frame",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999320507
} | [
1,
0
] | LAO | Laos | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | to 16.58 million hectares) through reduced emissions from deforestation and forest degradation, foster conservation, sustainable management of forests, buffer zones of national parks and other preserves, and enhancement of forest carbon stocks. 45,000. Energy. Other renewables. SOLAR and WIND: 1 GW total installed capacity in the country. 100. BIOMASS: 300 | to 16.58 million hectares) through reduced emissions from deforestation and forest degradation, foster conservation, sustainable management of forests, buffer zones of national parks and other preserves, and enhancement of forest carbon stocks. 45,000. Energy. Other renewables. SOLAR and WIND: 1 GW total installed capacity in the country. 100. BIOMASS: 300 MW total installed capacity in the country. 84. Transport. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Solar and wind: 1 GW total installed capacity in the country.\""
] | [
[
{
"Alpha2": "LA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999278784
} | [
1,
0
] | LAO | Laos | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | to 16.58 million hectares) through reduced emissions from deforestation and forest degradation, foster conservation, sustainable management of forests, buffer zones of national parks and other preserves, and enhancement of forest carbon stocks. Sector. Land Use Change and Forestry. GHG mitigation target. 45,000 ktCO2e on average per year between 2020 and | to 16.58 million hectares) through reduced emissions from deforestation and forest degradation, foster conservation, sustainable management of forests, buffer zones of national parks and other preserves, and enhancement of forest carbon stocks. Sector. Land Use Change and Forestry. GHG mitigation target. 45,000 ktCO2e on average per year between 2020 and 2030. Monitoring procedures. As per latest available national forest inventory. Comments. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Reduced emissions from deforestation and forest degradation, foster conservation, sustainable management of forests, buffer zones of national parks and other preserves, and enhancement of forest carbon stocks.\""
] | [
[
{
"Alpha2": "LA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999283552
} | [
0,
1
] | PNG | Papua New Guinea | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | to 2015 level. AFOLU will be. converted. from net GHG. source (1,716. Gg CO2 eq). in 2015 to net. GHG sink (- 8,. 284 Gg CO2. eq) by 2030. to mitigate. emissions from. other sectors. The area of annual. deforestation is. reduced by 25%. of 2015 level by. 2030 (Equating. | to 2015 level. AFOLU will be. converted. from net GHG. source (1,716. Gg CO2 eq). in 2015 to net. GHG sink (- 8,. 284 Gg CO2. eq) by 2030. to mitigate. emissions from. other sectors. The area of annual. deforestation is. reduced by 25%. of 2015 level by. 2030 (Equating. to a reduction of. 8,300 ha of annual. deforestation). Enhanced land use planning. Promoting climate-friendly agriculture. Oil palm platform. Cacao platform. Coffee platform. Enhancing community level. agriculture productivity. Certification system for climate-friendly. agriculture products. Enhancing value chain of climate-friendly. | [
1,
0
] | [
"Second NDC"
] | [
"Enhancing community level agriculture productivity"
] | [
[
{
"Alpha2": "PG",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Agriculture",
"SubSector": "Climate Smart Agriculture"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999380112
} | [
2,
0
] | SVN | Slovenia | [
0,
2
] | [
[
"{'g7': 0, 'IkiSheet': 'netzero', 'page_number': 1, 'target_year': 2050.0, 'region': 'Europe', 'parameter': 'T_Netzero', 'ice_phaseout_target': '2030 sales', 'oecd': 'OECD', 'target_type': 'T_FL', 'ghg_total': 15.365239860016, 'income_group': 'High-income', 'g20': 0, 'annex_type': 'Annex I', 'ghg_transport': 5.147879336379}",
"{'annex_type': 'Annex I', 'IkiSheet': 'targets', 'page_number': 1, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2050, 'country_netzero target_exists': 'x', 'country_summary_transport_targets': 'Transport GHG targets', 'target_type': nan, 'oecd': 'OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 0, 'region': 'Europe', 'parameter': 'T_Longterm', 'ice_phaseout': nan, 'country_long-term_target_exists': 'x', 'ghg_total': 15.365239860016, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 5.147879336379}"
]
] | [
"IKITracs"
] | [
0,
2
] | to attain net zero emissions or climate neutrality by 2050.By setting the climate objective, the Climate Strategy is determining the goal of attaining net zero emissions by 2050 to other sectors and their sectoral policies. It also sets the strategic sectoral objectives for 2040 and 2050, which individual sectors must | to attain net zero emissions or climate neutrality by 2050.By setting the climate objective, the Climate Strategy is determining the goal of attaining net zero emissions by 2050 to other sectors and their sectoral policies. It also sets the strategic sectoral objectives for 2040 and 2050, which individual sectors must observe consistently and incorporate in their sectoral documents and plans. | [
0,
0
] | [
"LTS"
] | [
"the Republic of Slovenia sets a clear objective, i.e. to attain net zero emissions or climate neutrality by 2050"
] | [
[
null,
null
]
] |
[
0,
8
] | {
"label": "en-US",
"score": 0.9999290705
} | [
6,
2
] | BIH | Bosnia and Herzegovina | [
8,
0
] | [
[
null,
null
],
[
null,
null
],
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
0,
8
] | to construct co-generation plants fuelled by wood chips and wood waste from wood processing industry, with the individual power generation capacity of several MW and the total power generation capacity of 70 MW, by 2030. to replace the existing thermal power plants with 30% average efficiency with new plants with | to construct co-generation plants fuelled by wood chips and wood waste from wood processing industry, with the individual power generation capacity of several MW and the total power generation capacity of 70 MW, by 2030. to replace the existing thermal power plants with 30% average efficiency with new plants with approximately 40% average efficiency . to install the equipment for power generation from methane from two underground mines (five coal-pits). | [
2,
6
] | [
"First NDC",
"INDC"
] | [
"70 MW generation capacity by 2030",
"Replace low efficency thermal power plants (30%) with plants of higher efficiency (40%)",
"70 MW generation capacity by 2030",
"Replace low efficency thermal power plants (30%) with plants of higher efficiency (40%)"
] | [
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Power generation efficiency improvement: Cogeneration plants"
},
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Power generation efficiency improvement: Cogeneration plants"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Power generation efficiency improvement"
},
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Power generation efficiency improvement"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Power generation efficiency improvement: Cogeneration plants"
},
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Power generation efficiency improvement: Cogeneration plants"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct11",
"QuestionDefinition": "Conditional part of mitigation target for a given sectoral downstream actions",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Power generation efficiency improvement"
},
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Supply-side Efficiency: Power generation efficiency improvement"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999375343
} | [
0,
1
] | LKA | Sri Lanka | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | to improve capabilities to predict and record damages and losses for weather and climate-related extreme events, slow-onset disasters and natural processes attributed to climate change;. to determine losses and damages attributable to climate change. 2021-2025. NDC 3. Improve data management systems to record losses and damages per sector: This involves | to improve capabilities to predict and record damages and losses for weather and climate-related extreme events, slow-onset disasters and natural processes attributed to climate change;. to determine losses and damages attributable to climate change. 2021-2025. NDC 3. Improve data management systems to record losses and damages per sector: This involves taking 2015 as the base year, to assess and quantify both economic and non-economic losses and to inform disaster and climate risk management strategies and incorporate into national development planning process. 2021-2025. NDC 4. | [
1,
0
] | [
"Revised First NDC"
] | [
"Loss and Damage, NDC 3: “Improve data management systems to record losses and damages per sector” (p. 52)"
] | [
[
{
"Alpha2": "LK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
8
] | {
"label": "en-US",
"score": 0.9999125004
} | [
3,
5
] | PAK | Pakistan | [
0,
8
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null,
null
],
[
null,
null
]
] | [
"CW"
] | [
8,
0
] | to improve inter-seasonal water availability MoWR, Provincial P&DDs, DoIs Number of small/ large reservoirs constructed or rehabilitated Introduction of water conservation technology and techniques in irrigated agriculture MoWR, DoIs Number of water conservation technology and techniques piloted PAKISTAN: UPDATED NATIONALLY DETERMINED CONTRIBUTIONS 2021 Biodiversity and Other Vulnerable Ecosystems To build | to improve inter-seasonal water availability MoWR, Provincial P&DDs, DoIs Number of small/ large reservoirs constructed or rehabilitated Introduction of water conservation technology and techniques in irrigated agriculture MoWR, DoIs Number of water conservation technology and techniques piloted PAKISTAN: UPDATED NATIONALLY DETERMINED CONTRIBUTIONS 2021 Biodiversity and Other Vulnerable Ecosystems To build resilience through nature-based solutions and protection of ecosystems and biodiversity Wildlife corridors for preservation and protection of wildlife species. | [
5,
3
] | [
"Revised First NDC"
] | [
"Biodiversity and Other Vulnerable Ecosystems (objective): “To build resilience through nature-based solutions and protection of ecosystems and biodiversity” (p. 48)",
"Biodiversity and Other Vulnerable Ecosystems (supporting action): “Prioritize the consideration of “blue” nature-based solutions (NbS).” (p. 48)",
"Biodiversity and Other Vulnerable Ecosystems (supporting action): “Wildlife corridors for preservation and protection of wildlife species. Also, Develop community-focused management plans for protected areas” (p. 48)",
"Number of small/ large reservoirs constructed or rehabilitated",
"Number of water conservation technology and techniques piloted",
"Water Resources (supporting action): “Introduction of water conservation technology and techniques in irrigated agriculture” (p. 47)"
] | [
[
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
}
],
[
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Infrastructure"
}
],
[
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Water conservation and reuse"
},
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Irrigation"
}
],
[
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Water conservation and reuse"
},
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Irrigation"
}
]
] |
[
4,
12
] | {
"label": "en-US",
"score": 0.9999394417
} | [
12,
4
] | BIH | Bosnia and Herzegovina | [
16,
0
] | [
[
null,
null
],
[
null,
null
],
[
null,
null
],
[
null
],
[
null
],
[
null,
null
],
[
null,
null
],
[
null,
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
16
] | to install the equipment for power generation from methane from two underground mines (five coal-pits). to install mini hydro power plants with the power generation capacity of up to 10 MW and the total generation capacity of 120 MW, by 2030. to install wind farms of the power generation capacity | to install the equipment for power generation from methane from two underground mines (five coal-pits). to install mini hydro power plants with the power generation capacity of up to 10 MW and the total generation capacity of 120 MW, by 2030. to install wind farms of the power generation capacity of 175 MW by 2030. to install photovoltaic modules of the total power generation capacity of 4 MW by 2030. to introduce renewable energy sources in the existing district heating systems and to construct new district heating systems fuelled by renewable energy sources. | [
0,
16
] | [
"First NDC",
"INDC"
] | [
"Add 10 MW capacity and reach 120 MW of total capacity by 2030",
"Add 175 MW by 2030",
"Add 4 MW by 2030",
"Power generation from methane of five coal pits",
"use renewable energy for district heating systems",
"Add 10 MW capacity and reach 120 MW of total capacity by 2030",
"Add 175 MW by 2030",
"Add 4 MW by 2030",
"Power generation from methane of five coal pits",
"use renewable energy for district heating systems"
] | [
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
},
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
},
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
},
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Gas"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
},
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Hydro"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
},
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
},
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar10",
"QuestionDefinition": "Conditional part of the mitigation target for a given sectoral target ",
"QuestionText": "Conditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Renewable Energy: Solar"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Gas"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Renewable Energy"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999372959
} | [
0,
2
] | PAK | Pakistan | [
0,
2
] | [
[
null,
null
]
] | [
"CW"
] | [
2,
0
] | to provide farmers weather updates and advisory services • Adoption of Climate Smart Agricultural practices for the production of a variety of plants • Balanced use of fertilizers, composting and using cropping calendars to perfect the planting times Water management has emerged as a critical area for Pakistan Water: • | to provide farmers weather updates and advisory services • Adoption of Climate Smart Agricultural practices for the production of a variety of plants • Balanced use of fertilizers, composting and using cropping calendars to perfect the planting times Water management has emerged as a critical area for Pakistan Water: • NFPP-IV was approved in 2017 and NWP in 2018. NFPP- IV has targeted to protect 2.47 million hectares area from inundation by flood waters, 779,250 hectares of lands from erosion besides reclamation of 154,180 hectares of eroded land. | [
0,
2
] | [
"Revised First NDC"
] | [
"Coping with water scarcity by using more water more productively"
] | [
[
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Water conservation and reuse"
},
{
"Alpha2": "PK",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Irrigation"
}
]
] |
[
2,
0
] | {
"label": "en-US",
"score": 0.9999336004
} | [
0,
2
] | BIH | Bosnia and Herzegovina | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | to reconstruct and modernize district heating grids, boilers and district heating substations. systemic energy rehabilitation of existing buildings (focus on public sector). The BAU and considered mitigation scenario are shown in the chart below. | to reconstruct and modernize district heating grids, boilers and district heating substations. systemic energy rehabilitation of existing buildings (focus on public sector). The BAU and considered mitigation scenario are shown in the chart below. | [
0,
2
] | [
"First NDC",
"INDC"
] | [
"Systemic energy rehabilitation of existing buildings, focus on public sector",
"Systemic energy rehabilitation of existing buildings, focus on public sector"
] | [
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Buildings",
"SubSector": "Buildings: General"
}
],
[
{
"Alpha2": "BA",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Buildings",
"SubSector": "Buildings: General"
}
]
] |
[
2,
1
] | {
"label": "en-US",
"score": 0.9999270439
} | [
0,
3
] | PNG | Papua New Guinea | [
3,
0
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
3
] | to the rapid population growth (3.1 percent per. annum) and fast-growing economy (6.7 percent. average annual constant GDP growth between. 2009 and 2016)31. This trend is expected to continue. as well as the increasing trend of emissions in the. LULUCF sector as shown in Figure 45. PNG will. shift to | to the rapid population growth (3.1 percent per. annum) and fast-growing economy (6.7 percent. average annual constant GDP growth between. 2009 and 2016)31. This trend is expected to continue. as well as the increasing trend of emissions in the. LULUCF sector as shown in Figure 45. PNG will. shift to a downwards trend mainly by promoting REDD+ activities such as enhancement of land use. planning and monitoring, promoting climate-friendly. agriculture, strengthened monitoring of FCA permits,. enhancement of timber legality, and promoting. reforestation and ecosystem restoration. PNG will. | [
1,
2
] | [
"Second NDC"
] | [
"Enhancement of timber legality",
"Promoting REDD+",
"Strengthened monitoring of FCA permits.\""
] | [
[
{
"Alpha2": "PG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "PG",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "PG",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Agriculture",
"SubSector": "Climate Smart Agriculture"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999331236
} | [
0,
8
] | VNM | Viet Nam | [
8,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 10, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General vehicle improvements', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Vehicleimprove', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 10, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Freight', 'a_s_i': 'Avoid, Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General freight efficiency improvements', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Freighteff', 'mode_private_cars': nan, 'category': 'Freight efficiency improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 10, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Vehicle efficiency standards', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Vehicleeff', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 10, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'LPG/CNG/LNG', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_LPGCNGLNG', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 10, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General e-mobility', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 10, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Biofuels', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Biofuel', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 10, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General public transport improvement', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'S_PublicTransport', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 10, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General e-mobility', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
8
] | tonnes Energy Agriculture LULUCF* Waste IP Total Note (*): increase in GHGs sequestration 2.4. Measures to achieve GHG reductions in different sectors - Undertaking investment, production and business projects on energy-saving and energy efficiency in production, manufacturing, renovation and conversion of markets for vehicles, equipment, machinery, production lines, public lighting, | tonnes Energy Agriculture LULUCF* Waste IP Total Note (*): increase in GHGs sequestration 2.4. Measures to achieve GHG reductions in different sectors - Undertaking investment, production and business projects on energy-saving and energy efficiency in production, manufacturing, renovation and conversion of markets for vehicles, equipment, machinery, production lines, public lighting, and energy-saving in public premises, schools, hospitals and commune health centres, households and others; - Using energy efficient household appliances, and industries and commerce electrical equipment; - Applying energy efficiency measures in industries; - Developing renewable energy in accordance with Viet Nam s potential, advantages and conditions; - Applying energy efficiency measures in transport; - Changing freight transportation models; restructuring the transportation market; - Shifting from private to public means of transport; - Shifting from conventional fuels to biofuel, natural gas and electricity; - Improving the energy efficiency of transport vehicles; - Improving, developing and applying technology in manufacturing construction materials; - Reducing clinker content and implementing other measures to reduce GHG emissions in cement production; and - Developing and using energy-saving construction materials and green materials in housing and commercial sectors. | [
0,
0
] | [
"Revised First NDC"
] | [
"Applying energy efficiency measures in transport",
"Changing freight transportation models; restructuring the transportation market;",
"Improving the energy efficiency of transport vehicles",
"Shifting from conventional fuels to biofuel, natural gas and electricity;",
"Shifting from private to public means of transport",
"shifting to electricity;"
] | [
[
null
],
[
null
],
[
null
],
[
null,
null,
null
],
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9998627901
} | [
0,
4
] | MLT | Malta | [
0,
4
] | [
[
"{'IkiSheet': 'investment', 'page_number': 94, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
],
[
"{'IkiSheet': 'investment', 'page_number': 93, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
],
[
"{'IkiSheet': 'investment', 'page_number': 93, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
],
[
"{'IkiSheet': 'investment', 'page_number': 94, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
]
] | [
"IKITracs"
] | [
0,
4
] | total for both private and public sectors), for each measure in million Euros42. NPV Total capital investment of measures, m EUR/ NPV Net total capital investment, m EUR Measure Primary Type Sectors Total Net Marginal investment m EVs - Charging Infrastructure ESR Transport EVs - Personal Vehicles ESR Transport Floating | total for both private and public sectors), for each measure in million Euros42. NPV Total capital investment of measures, m EUR/ NPV Net total capital investment, m EUR Measure Primary Type Sectors Total Net Marginal investment m EVs - Charging Infrastructure ESR Transport EVs - Personal Vehicles ESR Transport Floating Offshore Wind ETS Energy The MACC model also provides (a) the NPV of Total capital investment of measures, i.e. | [
0,
0
] | [
"LTS"
] | [
"EVs - Commercial Vehicles: Total Net Marginal investment m \nEUR 2020-2050: 2,781.42",
"EVs - Personal Vehicle: Total Net Marginal investment m \nEUR 2020-2050: 2,406.91",
"EVs - Charging Infrastructure: Total Net Marginal investment m \nEUR 2020-2050: 3,700.43 ",
"Public Transport (Free, LEZ, Parking Toll, Upgraded): Total Net Marginal investment m EUR 2020-2050: - 332.54"
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] |
[
0,
9
] | {
"label": "en-US",
"score": 0.999889493
} | [
0,
9
] | ALB | Albania | [
0,
9
] | [
[
null,
null,
null,
null,
null,
null,
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
9,
0
] | training, best practice exchange, development of guidelines) on climate change, its impacts (e.g. ecosystems, buildings, water and energy infrastructure, health) and the design, implementation, monitoring and evaluation of adaptation actions of key stakeholders (e.g. policy and decision makers, planning authorities, implementers, including the private sector). Very high. Awareness raising. Public | training, best practice exchange, development of guidelines) on climate change, its impacts (e.g. ecosystems, buildings, water and energy infrastructure, health) and the design, implementation, monitoring and evaluation of adaptation actions of key stakeholders (e.g. policy and decision makers, planning authorities, implementers, including the private sector). Very high. Awareness raising. Public information and awareness raising (e.g. awareness raising campaigns) on climate change, its impacts and the design, implementation, monitoring and evaluation of adaptation actions (e.g. heat related, resources efficiency, reclying). Very high. | [
2,
7
] | [
"Revised First NDC"
] | [
"Raising understanding of the value of nature for climate adaptation",
"Settlements, populations and tourism in the Albanian coast: “Capacity building (e.g. training, best practice exchange, development of guidelines) on climate change, its impacts (e.g. ecosystems, buildings, water and energy infrastructure, health) and the design, implementation, monitoring and evaluation of adaptation actions of key stakeholders (e.g. policy and decision makers, planning authorities, implementers, including the private sector)” (p. 67)",
"Settlements, populations and tourism in the Albanian coast: “Public information and awareness raising (e.g. awareness raising campaigns) on climate change, its impacts and the design, implementation, monitoring and evaluation of adaptation actions (e.g. heat related, resources efficiency, reclying)” (p. 67)"
] | [
[
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Environment: General"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Wetlands"
},
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Water",
"SubSector": "Water quality"
}
],
[
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999287128
} | [
2,
0
] | MDA | Moldova | [
2,
0
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
0,
2
] | transport and waste sectors – 15 per cent GHG emissions reduction compared to BAU scenario has to be achieved by 2020; and. LULUCF sector – an increase by 25 per cent of the net removals has to be reached by 2020. The desired reduction of GHG emissions by 2020 of | transport and waste sectors – 15 per cent GHG emissions reduction compared to BAU scenario has to be achieved by 2020; and. LULUCF sector – an increase by 25 per cent of the net removals has to be reached by 2020. The desired reduction of GHG emissions by 2020 of 20 per cent below the BAU scenario level requires decisive actions at the national and sector levels. | [
0,
2
] | [
"First NDC",
"INDC"
] | [
"+25% net removals by 2020",
"+25% net removals by 2020"
] | [
[
{
"Alpha2": "MD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
],
[
{
"Alpha2": "MD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999232292
} | [
0,
4
] | MWI | Malawi | [
0,
4
] | [
[
null
],
[
null,
null,
null
]
] | [
"CW"
] | [
4,
0
] | uc: US$ 131m c: US$ 90m. Improved implementation and. reporting of mitigation progress. ✔. ✔. ✔. 6.7 Funding requirements. According to the NAP framework, every year Malawi loses an average of 1.7% of its GDP as a result of climate change-related disasters, mainly floods and drought. | uc: US$ 131m c: US$ 90m. Improved implementation and. reporting of mitigation progress. ✔. ✔. ✔. 6.7 Funding requirements. According to the NAP framework, every year Malawi loses an average of 1.7% of its GDP as a result of climate change-related disasters, mainly floods and drought. | [
0,
4
] | [
"Revised First NDC"
] | [
"US$ 131m",
"US$ 90m"
] | [
[
{
"Alpha2": "MW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_unconc",
"QuestionDefinition": "Unconditional Costs",
"QuestionText": "Unconditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
}
],
[
{
"Alpha2": "MW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "MW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
},
{
"Alpha2": "MW",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_conc",
"QuestionDefinition": "Conditional Costs",
"QuestionText": "Conditional costs",
"Sector": "Water",
"SubSector": "Infrastructure"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.999220252
} | [
3,
0
] | ETH | Ethiopia | [
0,
3
] | [
[
null
],
[
null
],
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 10, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2030, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Low-income', 'g7': 0, 'mena': 0, 'region': 'Africa', 'parameter': 'T_Economy_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 18.252483673, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 6.7321941}"
]
] | [
"CW",
"IKITracs"
] | [
2,
1
] | unconditional) (Mt CO2eq) Industry Energy LUCF Livestock Managed Soils Waste TOTAL (Mt CO2eq) Historical Emission in Conditional Target Unconditional Target BAU Emissions LUCF LUCF Industry Industry Waste Livestock Energy Waste Conditional Managed soils Managed soils Energy Livestock Unconditional -68.8% below BAU, conditional pathway including uncondtional contribution -14% below BAU, unconditional | unconditional) (Mt CO2eq) Industry Energy LUCF Livestock Managed Soils Waste TOTAL (Mt CO2eq) Historical Emission in Conditional Target Unconditional Target BAU Emissions LUCF LUCF Industry Industry Waste Livestock Energy Waste Conditional Managed soils Managed soils Energy Livestock Unconditional -68.8% below BAU, conditional pathway including uncondtional contribution -14% below BAU, unconditional pathway UPDATED NATIONALLY DETERMINED CONTRIBUTION by the Land Use and Forestry sector. Both sectors together represent 83% (LUCF 35% and livestock 48%) of total BAU emissions in 2030. | [
0,
2
] | [
"Revised First NDC"
] | [
"Target 1: 35%",
"Target 2: 35%",
"in total -68.8% below 2030 BAU"
] | [
[
{
"Alpha2": "ET",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate services"
}
],
[
{
"Alpha2": "ET",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Energy",
"SubSector": "Renewable energy"
}
],
[
null
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999370575
} | [
0,
1
] | UZB | Uzbekistan | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | upgrade the infrastructure of industrial enterprises, ensure their sustainability by increasing energy efficiency by at least 20% and by wider use of clean and environmentally friendly technologies and industrial processes;. expand the production and use of motor fuels and vehicles with improved energy- efficiency and environmental performance, as well as | upgrade the infrastructure of industrial enterprises, ensure their sustainability by increasing energy efficiency by at least 20% and by wider use of clean and environmentally friendly technologies and industrial processes;. expand the production and use of motor fuels and vehicles with improved energy- efficiency and environmental performance, as well as develop electric transport;. | [
0,
1
] | [
"Revised First NDC"
] | [
"\"Expand the production and use of motor fuels and vehicles with improved energy efficiency and environmental performance, as well as develop electric transport\""
] | [
[
{
"Alpha2": "UZ",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Transport",
"SubSector": "Transportation Fuels"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999248981
} | [
0,
1
] | LKA | Sri Lanka | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 14, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Innovation and up-scaling', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General shipping improvement', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Shipping', 'mode_private_cars': nan, 'category': 'Shipping improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | urban centers) are currently unavailable at the required resolution, therefore have been mentioned as priority adaptation actions. Risk and vulnerability information scaled-down to sub-national level to enable decision making at provincial, river-basin or divisional level are currently not widely available. 22 Global Climate Risk Index 2020 | Germanwatch. 23 National | urban centers) are currently unavailable at the required resolution, therefore have been mentioned as priority adaptation actions. Risk and vulnerability information scaled-down to sub-national level to enable decision making at provincial, river-basin or divisional level are currently not widely available. 22 Global Climate Risk Index 2020 | Germanwatch. 23 National Climate Change Policy (2012) Figure 5.1: Climate impacts, adaptive capacities, and vulnerabilities to adaptation actions24 Mainstreaming gender and social safeguards into adaptation priorities is an important strategy. | [
0,
0
] | [
"Revised First NDC"
] | [
"Include climate change measures in maritime policy making"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999383688
} | [
0,
1
] | SVN | Slovenia | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 45, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General economic instruments', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'A_Economic', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | use of additional lanes for vehicles with several persons on motorways and expressways, change in the calculation of travel costs) and also freight vehicles. The occupancy of passenger cars must increase by at least 25 per cent. Access to restricted city centres will be limited to the most sustainable forms | use of additional lanes for vehicles with several persons on motorways and expressways, change in the calculation of travel costs) and also freight vehicles. The occupancy of passenger cars must increase by at least 25 per cent. Access to restricted city centres will be limited to the most sustainable forms of transport. | [
0,
0
] | [
"LTS"
] | [
"promote sustainable modes of transport within the calculation of travel costs;"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999585152
} | [
0,
1
] | URY | Uruguay | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 48, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Hydrogen', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Latin America and the Caribbean', 'parameter': 'I_Hydrogen', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | uso eficiente de leña en calefacción). Esta meta representa un gran desafío por las características actuales de consumo residencial de energía para cocción y calefacción. (b) Ídem. Ej. leña en generación de vapor industrial (c) Coque de petróleo en cementeras y fueloil en pasteras. (d) Vehículos con Peso bruto total | uso eficiente de leña en calefacción). Esta meta representa un gran desafío por las características actuales de consumo residencial de energía para cocción y calefacción. (b) Ídem. Ej. leña en generación de vapor industrial (c) Coque de petróleo en cementeras y fueloil en pasteras. (d) Vehículos con Peso bruto total (PBT) menor a 7.5ton. En el transporte, la transformación se basa en un impulso a los vehículos eléctricos a batería (BEV) y la incorporación de vehículos FCEV (Hidrógeno verde). | [
0,
0
] | [
"LTS"
] | [
"En el transporte, la transformación se basa en un impulso a los vehículos eléctricos a batería (BEV) y la incorporación de vehículos FCEV (Hidrógeno verde)."
] | [
[
null
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.999912858
} | [
0,
1
] | BRN | Brunei | [
1,
0
] | [
[
null
]
] | [
"CW"
] | [
0,
1
] | v) Fuel Economy Regulation. vi) Financial Incentives. vii) Awareness Raising. Project based energy efficiency measures such as the increased use of energy efficient streetlights. This involves replacement of the existing high pressure sodium vapour street lighting to low wattage and superior technology lighting to increase standards nationwide. For more information | v) Fuel Economy Regulation. vi) Financial Incentives. vii) Awareness Raising. Project based energy efficiency measures such as the increased use of energy efficient streetlights. This involves replacement of the existing high pressure sodium vapour street lighting to low wattage and superior technology lighting to increase standards nationwide. For more information on the implementation plans to achieve energy intensity reduction goals, please refer to Section 5. 2.1.2 Increasing the share of Renewable Energy in the national total power generation mix. | [
0,
1
] | [
"INDC"
] | [
"Project based energy efficiency measures such as the increased use of energy efficient streetlights."
] | [
[
{
"Alpha2": "BN",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Energy",
"SubSector": "Energy Efficiency"
}
]
] |
[
2,
4
] | {
"label": "fr-FR",
"score": 0.9999796152
} | [
3,
3
] | COD | Democratic Republic of the Congo | [
6,
0
] | [
[
null,
null
],
[
null,
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
6
] | v) Reforestation (reboisement) : potentiel de réduction des émissions de 80 à 84 Mt CO2e dans 4 millions d’ha de forêts dégradées ou déboisées. Dans ce contexte, la RDC envisage identifier spatialement ces forêts et les intégrer dans la législation nationale d’ici 2025 et ainsi procéder à l’établissement d’au moins | v) Reforestation (reboisement) : potentiel de réduction des émissions de 80 à 84 Mt CO2e dans 4 millions d’ha de forêts dégradées ou déboisées. Dans ce contexte, la RDC envisage identifier spatialement ces forêts et les intégrer dans la législation nationale d’ici 2025 et ainsi procéder à l’établissement d’au moins 2,5 millions d’hectares de concessions forestières communautaires locales d’ici 2025, suivant un guide de bonnes pratiques approuvé d’ici 2023. B. Volet II : Agriculture et Elevage en milieu forestier : quatre leviers d’atténuation contribuant à hauteur de 180 à 187 Mt CO2e au potentiel total d’atténuation (McKinsey et i) Agriculture vivrière : principalement itinérante et sur brûlis : potentiel de réduction des émissions de 15 à 17 Mt CO2e en 2030, fondé sur un programme d’amélioration de la productivité touchant 50% des exploitations vivrières. | [
1,
5
] | [
"Revised First NDC"
] | [
"\"Reforestation (reforestation): potential to reduce emissions of 80 to 84 Mt CO2e in 4 million ha of degraded or deforested forests. In this context, the DRC plans to spatially identify these forests and integrate them into national legislation by 2025 and thus proceed with the establishment of at least 2.5 million hectares of local community forest concessions by 2025, following a good practice guide approved by 2023.\"",
"\"Subsistence agriculture: mainly itinerant and slash-and-burn: potential to reduce emissions by 15 to 17 Mt CO2e in 2030, based on a productivity improvement program affecting 50% of food farms.\"",
"(i) Number of farmers using the guide to good agricultural practice for fallow land management and the use of natural fertilisers",
"Agriculture sector: \"Reduction potential in 2030 (in Mt CO2e)\": \"180 to 187\""
] | [
[
{
"Alpha2": "CD",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol3",
"QuestionDefinition": "Information on upstream policies for a given sector",
"QuestionText": "Upstream policies on",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
},
{
"Alpha2": "CD",
"OverviewCategory": "Sectoral Mitigation Policies",
"QuestionCode": "M_SecPol6",
"QuestionDefinition": "Emission reduction potential for a given sectoral upstream ",
"QuestionText": "Emission reduction potential ",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
],
[
{
"Alpha2": "CD",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "CD",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen4",
"QuestionDefinition": "emission reduction potential for a given sectoral plan",
"QuestionText": "Emission reduction potential",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "CD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
],
[
{
"Alpha2": "CD",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen4",
"QuestionDefinition": "emission reduction potential for a given sectoral plan",
"QuestionText": "Emission reduction potential",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
}
]
] |
[
2,
0
] | {
"label": "en-US",
"score": 0.9999139309
} | [
0,
2
] | BRA | Brazil | [
2,
0
] | [
[
null,
null
]
] | [
"CW"
] | [
0,
2
] | v) in the industry sector, promote new standards of clean technology and further enhance energy efficiency measures and low carbon infrastructure;. vi) in the transportation sector, further promote efficiency measures, and improve infrastructure for transport and public transportation in urban areas. Brazil recognizes the importance of the engagement of local | v) in the industry sector, promote new standards of clean technology and further enhance energy efficiency measures and low carbon infrastructure;. vi) in the transportation sector, further promote efficiency measures, and improve infrastructure for transport and public transportation in urban areas. Brazil recognizes the importance of the engagement of local governments and of their efforts in combating climate change. GLOBAL TEMPERATURE POTENTIAL (GTP) METRIC. | [
0,
2
] | [
"First NDC"
] | [
"\"Promote efficiency measures, and improve infrastructure for transport and public transport in urban areas.\""
] | [
[
{
"Alpha2": "BR",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Transport",
"SubSector": "Public Transport"
},
{
"Alpha2": "BR",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen3",
"QuestionDefinition": "Information on sectoral plans",
"QuestionText": "Sectoral plans on",
"Sector": "Transport",
"SubSector": "Urban Transport"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999343157
} | [
0,
4
] | MEX | Mexico | [
0,
4
] | [
[
null
],
[
null
],
[
null,
null
]
] | [
"CW"
] | [
4,
0
] | value chains and investment plans of. productive sectors. B3. To contribute to the prevention and. management of pests and diseases in. domestic animal species and vegetable. crops aggravated by climate change. B4. Strengthen environmental policy instruments. and implement actions to ensure. the protection of native crops relevant. to agriculture and | value chains and investment plans of. productive sectors. B3. To contribute to the prevention and. management of pests and diseases in. domestic animal species and vegetable. crops aggravated by climate change. B4. Strengthen environmental policy instruments. and implement actions to ensure. the protection of native crops relevant. to agriculture and food security from. the potential impacts of climate change. B5. Promote financing mechanisms that. address the negative impacts of climate. | [
4,
0
] | [
"Revised First NDC"
] | [
"Resilient production systems and food security: “Promote financing mechanisms that address the negative impacts of climate change on the primary productive sector” (p. 16)",
"Resilient production systems and food security: “Strengthen environmental policy instruments and implement actions to ensure the protection of native crops relevant to agriculture and food security from the potential impacts of climate change” (p. 16)",
"Resilient production systems and food security: “To contribute to the prevention and management of pests and diseases in domestic animal species and vegetable crops aggravated by climate change” (p. 16)"
] | [
[
{
"Alpha2": "MX",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
],
[
{
"Alpha2": "MX",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Crops"
}
],
[
{
"Alpha2": "MX",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Livestock"
},
{
"Alpha2": "MX",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Crops"
}
]
] |
[
0,
2
] | {
"label": "fr-FR",
"score": 0.9999792576
} | [
0,
2
] | BFA | Burkina Faso | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | vii Annexe 2 : Liste des actions d’adaptation intégrée Secteur Scénario Action/Projet Coût (USD) Environnement Inconditionnel Intégration des mesures d adaptation au changement climatique dans la gestion concertée du complexe transfrontalier du W- Arly-Pendjari (ADAPT WAP). Préservation et lutte contre la dégradation de la colline sacrée de Boulgou et sa | vii Annexe 2 : Liste des actions d’adaptation intégrée Secteur Scénario Action/Projet Coût (USD) Environnement Inconditionnel Intégration des mesures d adaptation au changement climatique dans la gestion concertée du complexe transfrontalier du W- Arly-Pendjari (ADAPT WAP). Préservation et lutte contre la dégradation de la colline sacrée de Boulgou et sa périphérie. | [
2,
0
] | [
"Revised First NDC"
] | [
"Environment: “Integration of climate change adaptation measures in the concerted management of the W-Arly-Pendjari transboundary complex (ADAPT WAP).” (p. vii)",
"Environment: “Preservation and fight against the degradation of the sacred hill of Boulgou and its outskirts.” (p. vii)"
] | [
[
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Environment",
"SubSector": "Environment: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "Land degradation"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999337196
} | [
0,
2
] | ALB | Albania | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | water and food quantity and quality, air quality), the built environment (e.g. location, density) and socio-economic and demographic aspects, including the modernization of monitoring equipment and systems. Very High. Monitor vulnerability (conduct vulnerability assessments and develop risk maps, at the territorial and sectoral levels (including infrastructure)). Very high. Ensure effective | water and food quantity and quality, air quality), the built environment (e.g. location, density) and socio-economic and demographic aspects, including the modernization of monitoring equipment and systems. Very High. Monitor vulnerability (conduct vulnerability assessments and develop risk maps, at the territorial and sectoral levels (including infrastructure)). Very high. Ensure effective communication of monitoring information to relevant sectoral and territorial actors, including through the development of end-to-end, people-centred and multi-hazard early warning (MHEW), including on floods. Very high. | [
2,
0
] | [
"Revised First NDC"
] | [
"Settlements, populations and tourism in the Albanian coast: “Ensure effective communication of monitoring information to relevant sectoral and territorial actors, including through the development of end-to-end, people-centred and multi-hazard early warning (MHEW), including on floods” (p. 67)",
"Settlements, populations and tourism in the Albanian coast: “Monitor vulnerability (conduct vulnerability assessments and develop risk maps, at the territorial and sectoral levels (including infrastructure))” (p. 67)"
] | [
[
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Disaster Risk Management (DRM)",
"SubSector": "Early warning system"
}
],
[
{
"Alpha2": "AL",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
}
]
] |
[
0,
5
] | {
"label": "en-US",
"score": 0.9999358654
} | [
0,
5
] | MDA | Moldova | [
0,
5
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
5,
0
] | wider use of efficient road maintenance methods (preventive maintenance: include coatings, repairs, sealing by spraying cationic emulsions, crushed stone seals, sealing cracks with suspensions, etc.; corrective maintenance: include patching, repair of surface and surface treatments with sealants);. conduct risk assessments for all new roads;. improve flood protection;. greater use of | wider use of efficient road maintenance methods (preventive maintenance: include coatings, repairs, sealing by spraying cationic emulsions, crushed stone seals, sealing cracks with suspensions, etc.; corrective maintenance: include patching, repair of surface and surface treatments with sealants);. conduct risk assessments for all new roads;. improve flood protection;. greater use of sensors for monitoring water flows;. upgrading of road drainage systems;. pavement grooving and sloping;. increases in the standard for drainage capacity for new transportation infrastructure and major rehabilitation projects; and. | [
5,
0
] | [
"First NDC"
] | [
"Transport (In case of increases in extreme precipitation events) : \"pavement grooving and sloping",
"Transport (In case of increases in extreme precipitation events) : \"upgrading of road drainage systems",
"Transport (In case of increases in extreme precipitation events) : \"wider use of efficient road maintenance methods (preventive maintenance: include coatings, repairs, sealing by spraying cationic emulsions, crushed stone seals, sealing cracks with suspensions, etc.",
"Transport (In case of increases in extreme precipitation events) :\" increases in the standard for drainage capacity for new transportation infrastructure and major rehabilitation projects",
"corrective maintenance: include patching, repair of surface and surface treatments with sealants)"
] | [
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
}
],
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
}
],
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
}
],
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Sustainable transport planning"
}
],
[
{
"Alpha2": "MD",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.999920249
} | [
0,
3
] | JPN | Japan | [
3,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 39, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 'G7', 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Freight', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Autonomous vehicles', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Autonomous', 'mode_private_cars': nan, 'category': 'Digital solutions', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 39, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 'G7', 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Freight', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Freight transport shifting to rail of inland waterways', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'S_Railfreight', 'mode_private_cars': nan, 'category': 'Freight efficiency improvements', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 39, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 'G7', 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Freight', 'a_s_i': 'Avoid', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Mobility as a Service', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'S_Maas', 'mode_private_cars': nan, 'category': 'Digital solutions', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
3
] | with cooperation of related businesses, enhancement of efficient logistics networks using technology like automated driving, improvement of truck transportation efficiency including advanced logistics systems with cooperation among related businesses using digital technology from the perspective of logistics MaaS29, and further promotion of modal shifts to shipping and rail. It is | with cooperation of related businesses, enhancement of efficient logistics networks using technology like automated driving, improvement of truck transportation efficiency including advanced logistics systems with cooperation among related businesses using digital technology from the perspective of logistics MaaS29, and further promotion of modal shifts to shipping and rail. It is necessary to make the transportation and logistics system more resilient to climate change risks so that transportation and logistics services as essential services will not be disrupted for a long time in the event of a disaster. | [
0,
0
] | [
"LTS"
] | [
", enhancement of efficient logistics networks using technology like automated driving",
"further promotion of modal shifts to shipping and rail.",
"improvement of truck transportation efficiency including advanced logistics systems with cooperation among related businesses using digital technology from the perspective of logistics MaaS"
] | [
[
null
],
[
null
],
[
null
]
] |
[
0,
4
] | {
"label": "fr-FR",
"score": 0.9999793768
} | [
0,
4
] | BFA | Burkina Faso | [
0,
4
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
4,
0
] | xi Secteur Scénario Action/Projet Coût (USD) Projet de travaux d’entretien périodique des routes en terre de l’année 2019: lot 03: Travaux de construction d’ouvrages de franchissement sur la piste Zecco-Toungou et dans la commune de Pô. Projet de travaux de construction d’ouvrages et d’aménagement de la déviation de la RD55: | xi Secteur Scénario Action/Projet Coût (USD) Projet de travaux d’entretien périodique des routes en terre de l’année 2019: lot 03: Travaux de construction d’ouvrages de franchissement sur la piste Zecco-Toungou et dans la commune de Pô. Projet de travaux de construction d’ouvrages et d’aménagement de la déviation de la RD55: Embr. Rn04-absouya. | [
4,
0
] | [
"Revised First NDC"
] | [
"Infrastructure: “Periodic maintenance work project for earth roads for the year 2019: lot 03: Construction work for crossing structures on the Zecco-Toungou track and in the town of Pô.” (p. xi)",
"Infrastructure: “Project for the construction of works and development of the RD55 deviation: Embr. Rn04-absouya\" (p. xi)",
"Settlements: “Mapping of areas at risk of flooding in agglomerations with more than 5,000 inhabitants (50 agglomerations).” (p. xi)",
"Settlements: “Pilot program to promote efficient cooling in social housing.” (p. xi)"
] | [
[
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Economy-wide",
"SubSector": "Economy-wide: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Urban",
"SubSector": "Urban: General"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Urban",
"SubSector": "Buildings"
}
]
] |
[
0,
13
] | {
"label": "fr-FR",
"score": 0.9999789
} | [
0,
15
] | BFA | Burkina Faso | [
9,
6
] | [
[
null,
null,
null,
null
],
[
null
],
[
null,
null
],
[
null,
null
],
[
null,
null
],
[
null
],
[
null
],
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': 'xii', 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Transport System Adaptation', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'R_System', 'mode_private_cars': nan, 'category': 'Structural and Technical', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'IkiSheet': 'investment', 'page_number': 'xii', 'region': 'Africa', 'parameter': 'M_Project', 'income_group': 'Low-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"CW",
"IKITracs"
] | [
5,
10
] | xii Secteur Scénario Action/Projet Coût (USD) Restauration et aménagement de la ceinture verte de Ouagadougou. Efficacité énergétique dans l habitat urbain et rural. Transport Inconditionnel Projet régional de Corridor économique Lomé-Ouagadougou- Niamey (LON). | xii Secteur Scénario Action/Projet Coût (USD) Restauration et aménagement de la ceinture verte de Ouagadougou. Efficacité énergétique dans l habitat urbain et rural. Transport Inconditionnel Projet régional de Corridor économique Lomé-Ouagadougou- Niamey (LON). | [
4,
9
] | [
"Revised First NDC"
] | [
"\"Forests, agroforestry and the establishment of nutritious gardens for climate-smart diversification\": 5,700,000 USD",
"\"Project to build the Accra-Ouagadougou railway interconnection.\": 2,666,472 USD",
"\"Project to set up a heavy urban and peri-urban rail service to the city of Ouagadougou from the existing line.\": 72,561 USD",
"\"Urban mobility project of Greater Ouagadougou.\": 103,845 USD",
"Settlements: “Energy efficiency in urban and rural housing.” (p. xii)",
"Settlements: “Restoration and development of the Ouagadougou green belt.” (p. xii)",
"Transport: “Lomé-Ouagadougou-Niamey Regional Economic Corridor Project (LON).” (p. xii)",
"Projet régional de Corridor économique Lomé-Ouagadougou-Niamey (LON). "
] | [
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen5",
"QuestionDefinition": "Estimated total costs of implementation for a given sectoral plan",
"QuestionText": "Estimated total costs for implementation",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen11",
"QuestionDefinition": "Estimated cost of implementation for the conditional part of a given sectoral plan",
"QuestionText": "Estimated costs for implementation (conditional)",
"Sector": "LULUCF/Forestry",
"SubSector": "LULUCF/Forestry: General"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen5",
"QuestionDefinition": "Estimated total costs of implementation for a given sectoral plan",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Agriculture",
"SubSector": "Climate Smart Agriculture"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Plans",
"QuestionCode": "M_SecGen11",
"QuestionDefinition": "Estimated cost of implementation for the conditional part of a given sectoral plan",
"QuestionText": "Estimated costs for implementation (conditional)",
"Sector": "Agriculture",
"SubSector": "Climate Smart Agriculture"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Transport",
"SubSector": "Rail"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Transport",
"SubSector": "Rail"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct12",
"QuestionDefinition": "Estimated cost of implementation for the conditional part of a given sectoral downstream action ",
"QuestionText": "Estimated costs for implementation (conditional)",
"Sector": "Transport",
"SubSector": "Rail"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct10",
"QuestionDefinition": "Estimated cost of implementation for the unconditional part of a given sectoral downstream action ",
"QuestionText": "Estimated costs for implementation (unconditional)",
"Sector": "Transport",
"SubSector": "Urban Transport"
},
{
"Alpha2": "BF",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Transport",
"SubSector": "Urban Transport"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Urban",
"SubSector": "Buildings"
},
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Energy",
"SubSector": "Energy efficiency"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Urban",
"SubSector": "Sustainable urban planning"
}
],
[
{
"Alpha2": "BF",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Transport",
"SubSector": "Infrastructure and roads"
}
],
[
null,
null
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999581575
} | [
0,
1
] | COL | Colombia | [
0,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': 'xxvi', 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': 'x', 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Education and Training', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Latin America and the Caribbean', 'parameter': 'R_Education', 'mode_private_cars': nan, 'category': 'Informational and Educational', 'mode_rail': 'x', 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
1,
0
] | xxvi MinCIT Industria Implementación del programa integral de creación de capacidades en adaptación del sector industria y turismo Implementación del programa de creación de capacidades del sector en temas de adaptación al cambio climático. Donación NO SI Por medio de la implementación del programa de capacidades del sector se logrará | xxvi MinCIT Industria Implementación del programa integral de creación de capacidades en adaptación del sector industria y turismo Implementación del programa de creación de capacidades del sector en temas de adaptación al cambio climático. Donación NO SI Por medio de la implementación del programa de capacidades del sector se logrará obtener mejores resultados en los análisis de la información relacionada con la vulnerabilidad y riesgo para el sector, lo cual aporta a contribuir con insumos para la toma de decisiones en el sector. | [
0,
0
] | [
"Revised First NDC"
] | [
"Implementación del programa de creación de capacidades del sector transporte"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999796152
} | [
0,
1
] | CMR | Cameroon | [
0,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': 34, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': 'x', 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Transport Infrastructure Resilience', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'R_Infrares', 'mode_private_cars': nan, 'category': 'Structural and Technical', 'mode_rail': 'x', 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
1,
0
] | « Adaptation aux changements climatiques », Collectivitesviables.org, Vivre en Ville, décembre L’objectif et la vision du Cameroun pour l’adaptation c’est qu’en 2035, « les changements climatiques dans les cinq zones agro-écologiques du Cameroun sont complètement intégrés au développement durable du pays, réduisant ainsi sa vulnérabilité, et transformant même le problème | « Adaptation aux changements climatiques », Collectivitesviables.org, Vivre en Ville, décembre L’objectif et la vision du Cameroun pour l’adaptation c’est qu’en 2035, « les changements climatiques dans les cinq zones agro-écologiques du Cameroun sont complètement intégrés au développement durable du pays, réduisant ainsi sa vulnérabilité, et transformant même le problème des changements climatiques en une solution/opportunité de développement. Ainsi les Camerounais particulièrement les femmes, les enfants et les personnes vulnérables et les secteurs économiques du pays vont acquérir une plus grande résilience et une plus grande capacité d’adaptation aux impacts négatifs des changements climatiques. 6.1 Les priorités de l’adaptation et la résilience au Cameroun Tableau 2 : Priorités d’adaptation suivant chaque secteur et ODD correspondant Secteur Priorités ODD Correspondant Agriculture - Promouvoir une agriculture intelligente face au climat pour renforcer la résilience et améliorer les investissements dans l adaptation et renforcer la résilience des communautés aux effets néfastes du changement climatique grâce à un accès et une connectivité améliorée, et un stockage des aliments - Renforcer la chaîne de valeur dans l agriculture Energie - Assurer l’approvisionnement énergétique durable et procéder à la certification de la résilience climatique des infrastructures énergétiques - Garantir la sécurité énergétique Infrastructures - Construire des infrastructures, y compris des systèmes ferroviaires, des aéroports et des ports maritimes, qui résistent au climat grâce à l intégration de mesures d adaptation et de résilience pour améliorer la durabilité. | [
0,
0
] | [
"Revised First NDC"
] | [
"Construire des infrastructures, y compris des systèmes ferroviaires, des aéroports et des ports maritimes, qui résistent au climat grâce à l'intégration de mesures d'adaptation et de résilience pour améliorer la durabilité. "
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999363422
} | [
0,
1
] | DNK | Denmark | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 24, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Use of renewable energy', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_RE', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | · Administrative barriers will be removed to enable enterprises to increase their solar energy invest- ments. · Offshore wind turbine expansion. Advancement of farm 2 from the 2018 energy agreement, which will be located at Hesselø. Development initiatives: · Establishment of the world s first offshore renewable energy hubs. Establishment | · Administrative barriers will be removed to enable enterprises to increase their solar energy invest- ments. · Offshore wind turbine expansion. Advancement of farm 2 from the 2018 energy agreement, which will be located at Hesselø. Development initiatives: · Establishment of the world s first offshore renewable energy hubs. Establishment of offshore wind farms of 3 GW and 2 GW. Green power from the hubs and other sources will be used directly but eventually also converted into sustainable fuels (Power-to-X) that can decarbonise sectors which cannot be directly electrified, e.g. | [
0,
0
] | [
"LTS"
] | [
"Establishment of the world's first offshore renewable energy hubs. Establishment of offshore wind farms of 3 GW and 2 GW. Green power from the hubs and other sources will be used directly but eventually also converted into sustainable fuels (Power-to-X) that can decarbonise sectors which cannot be directly electrified, e.g. aviation, heavy-duty transport, certain industrial processes, etc"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999341965
} | [
0,
1
] | DNK | Denmark | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Avoid, Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Emissions trading and carbon pricing', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'A_Emistrad', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | · At European level, the Government is working to strengthening and extending the EU Emission Trading System to road transport and buildings to ensure a more uniform price signal across sec- tors and a more cost-effective climate regulation. · Energy efficiency is also an EU priority for the Government. The | · At European level, the Government is working to strengthening and extending the EU Emission Trading System to road transport and buildings to ensure a more uniform price signal across sec- tors and a more cost-effective climate regulation. · Energy efficiency is also an EU priority for the Government. The Government supports the princi- ple of “energy efficiency first” and cost-effective energy-efficiency efforts, particularly at reducing fossil energy consumption contributing towards the EU 2030 climate target and the climate-neu- trality target by 2050 at the latest. | [
0,
0
] | [
"LTS"
] | [
"At European level, the Government is working to strengthening and extending the EU Emission Trading System to road transport and buildings to ensure a more uniform price signal across sectors and a more cost-effective climate regulation"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999395609
} | [
0,
4
] | DNK | Denmark | [
2,
2
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'General economic instruments', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'A_Economic', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}",
"{'IkiSheet': 'investment', 'page_number': 27, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Passenger', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General public transport improvement', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_PublicTransport', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}",
"{'IkiSheet': 'investment', 'page_number': 27, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
]
] | [
"IKITracs"
] | [
0,
4
] | · DKK 25 million to introduce a deduction in the tax basis for green company cars to reduce the price of green driving to and from work. · DKK 75 million to accelerate the transition to green buses. · DKK 100 million to promote cycling and a pool of DKK | · DKK 25 million to introduce a deduction in the tax basis for green company cars to reduce the price of green driving to and from work. · DKK 75 million to accelerate the transition to green buses. · DKK 100 million to promote cycling and a pool of DKK 50 million from which municipalities can apply for cycling project funding in return for a 50% co-funding. | [
0,
0
] | [
"LTS"
] | [
"DKK 25 million to introduce a deduction in the tax basis for green company cars to reduce the price of green driving to and from work.",
"DKK 75 million to accelerate the transition to green buses."
] | [
[
null,
null
],
[
null,
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999203682
} | [
0,
2
] | DNK | Denmark | [
1,
1
] | [
[
"{'IkiSheet': 'investment', 'page_number': 27, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': 'x', 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Cycling measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_Cycling', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | · DKK 75 million for accelerating the transition to green buses. · DKK 100 million for promoting cycling and a pool of DKK 50 million from which municipalities can apply for bicycle project funding in return for 50% co-funding. | · DKK 75 million for accelerating the transition to green buses. · DKK 100 million for promoting cycling and a pool of DKK 50 million from which municipalities can apply for bicycle project funding in return for 50% co-funding. | [
0,
0
] | [
"LTS"
] | [
"DKK 100 million to promote cycling and a pool of DKK 50 million from which municipalities can\napply for cycling project funding in return for a 50% co-funding.",
"DKK 100 million to promote cycling and a pool of DKK 50 million from which municipalities can apply for cycling project funding in return for a 50% co-funding."
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999372959
} | [
0,
1
] | DNK | Denmark | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 25, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Hydrogen', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Hydrogen', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | · Green mission: PtX – Development of green fuels for transport and industry. Develop solutions to convert power generated by renewable sources into products that can be used to reduce emis- sions from segments of the transport and industrial sector that have no cost-effective alternatives to fossil energy. · Green | · Green mission: PtX – Development of green fuels for transport and industry. Develop solutions to convert power generated by renewable sources into products that can be used to reduce emis- sions from segments of the transport and industrial sector that have no cost-effective alternatives to fossil energy. · Green mission: Develop cost-effective solutions for carbon capture and storage that can be ap- plied to reducing CO2 emissions and creating negative emissions from large industrial emitters, waste incineration plants, biogas plants and biomass-based CHPs. | [
0,
0
] | [
"LTS"
] | [
"Green mission: PtX – Development of green fuels for transport and industry. Develop solutions to convert power generated by renewable sources into products that can be used to reduce emissions from segments of the transport and industrial sector that have no cost-effective alternatives to fossil energy."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999318123
} | [
0,
6
] | DNK | Denmark | [
4,
2
] | [
[
"{'IkiSheet': 'investment', 'page_number': 27, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Avoid, Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Financial instruments to support decarbonisation', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'A_Finance', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Use of renewable energy', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_RE', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Innovation and up-scaling', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General shipping improvement', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Shipping', 'mode_private_cars': nan, 'category': 'Shipping improvements', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'EV charging infrastructure', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Emobilitycharging', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'IkiSheet': 'investment', 'page_number': 27, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
]
] | [
"IKITracs"
] | [
0,
6
] | · Implementation of DKK 50 million for charging points and DKK 24 million to promote commercial carriage and DKK 1 million to analyse the potential for transitioning domestic ferries to renewable energy as part of the realisation of the green transport pool in 2020 and an analysis of the pricing | · Implementation of DKK 50 million for charging points and DKK 24 million to promote commercial carriage and DKK 1 million to analyse the potential for transitioning domestic ferries to renewable energy as part of the realisation of the green transport pool in 2020 and an analysis of the pricing structure for publicly accessible charging points. · Advancement of the remaining implementation of the green transport pool for 2020 and 2021, as well as enlarging the pool by an additional DKK 50 million, so that total priorities amount to DKK 425 million in 2020 and 2020 for charging points, promotion of green commercial carriage and transitioning to green ferries. | [
0,
0
] | [
"LTS"
] | [
"Advancement of the remaining implementation of the green transport pool for 2020 and 2021, as\nwell as enlarging the pool by an additional DKK 50 million, so that total priorities amount to DKK\n425 million in 2020 and 2020 for charging points, promotion of green commercial carriage and\ntransitioning to green ferries.",
"Advancement of the remaining implementation of the green transport pool for 2020 and 2021, as well as enlarging the pool by an additional DKK 50 million, so that total priorities amount to DKK 425 million in 2020 and 2020 for charging points, promotion of green commercial carriage and transitioning to green ferries.",
"DKK 24 million to promote commercial carriage and DKK 1 million to analyse the potential for transitioning domestic ferries to renewable energy as part of the realisation of the green transport pool in 2020 and an analysis of the pricing structure for publicly accessible charging points.",
"Implementation of DKK 50 million for charging points",
"Implementation of DKK 50 million for charging points and DKK 24 million to promote commercial\ncarriage and DKK 1 million to analyse the potential for transitioning domestic ferries to renewable\nenergy as part of the realisation of the green transport pool in 2020 and an analysis of the pricing\nstructure for publicly accessible charging points."
] | [
[
null
],
[
null
],
[
null,
null
],
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999319315
} | [
0,
1
] | MDV | Maldives | [
0,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': '\\xa0', 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Freight', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Relocation', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'R_Relocation', 'mode_private_cars': nan, 'category': 'Institutional and Regulatory', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
1,
0
] | · Malé Commercial Port that handles more than 90 percent of the imported cargo. To increase the capacity and reduce the impacts of high winds and seas to the operation of the port, the commercial port would be relocated to a different island called Thilafushi. · Increase resilience and climate | · Malé Commercial Port that handles more than 90 percent of the imported cargo. To increase the capacity and reduce the impacts of high winds and seas to the operation of the port, the commercial port would be relocated to a different island called Thilafushi. · Increase resilience and climate proofing of all critical infrastructures across the country including utility services, health care facilities, and telecommunications. | [
0,
0
] | [
"First NDC"
] | [
"Malé Commercial Port that handles more than 90 percent of the imported cargo. To increase the capacity and reduce the impacts of high winds and seas to the operation of the port, the commercial port would be relocated to a different island called Thilafushi. "
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999394417
} | [
0,
1
] | DNK | Denmark | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Innovation and up-scaling', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General shipping improvement', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Shipping', 'mode_private_cars': nan, 'category': 'Shipping improvements', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | · The Government is actively working to ensure that potential future EU initiatives in the maritime sector will benefit the climate without jeopardising the competitiveness of Europe’s maritime sector. · The Green Research Strategy lists a number of themes for green research and innovation. The selection of themes is guided | · The Government is actively working to ensure that potential future EU initiatives in the maritime sector will benefit the climate without jeopardising the competitiveness of Europe’s maritime sector. · The Green Research Strategy lists a number of themes for green research and innovation. The selection of themes is guided by green research requirements and potentials as well as business and research strengths and potentials. The themes include transport, etc. | [
0,
0
] | [
"LTS"
] | [
"The Government is actively working to ensure that potential future EU initiatives in the maritime sector will benefit the climate without jeopardising the competitiveness of Europe’s maritime sector."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.999932766
} | [
0,
2
] | DNK | Denmark | [
1,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'EV purchase incentives', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Emobilitypurchase', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'IkiSheet': 'investment', 'page_number': 27, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
]
] | [
"IKITracs"
] | [
0,
2
] | · The Government supports the Commission’s ambitions to revise the urban wastewater treat- ment and sewage sludge directives to intensify focus on energy production and recycling of nu- trients. Transport Measures (road transport): · DKK 180 million to cancel tax increases on electric vehicles and reduce the process energy tax | · The Government supports the Commission’s ambitions to revise the urban wastewater treat- ment and sewage sludge directives to intensify focus on energy production and recycling of nu- trients. Transport Measures (road transport): · DKK 180 million to cancel tax increases on electric vehicles and reduce the process energy tax on EV electricity. · DKK 25 million to introduce a deduction in the tax basis for green company cars to reduce the price of green driving to and from work. | [
0,
0
] | [
"LTS"
] | [
"DKK 180 million to cancel tax increases on electric vehicles and reduce the process energy tax on EV electricity.",
"DKK 180 million to cancel tax increases on electric vehicles and reduce the process energy tax on EV electricity. "
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.999938488
} | [
0,
1
] | DNK | Denmark | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': 'x', 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Avoid', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Emissions trading and carbon pricing', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'A_Emistrad', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | · The Government will also work to forge an alliance between like-minded EU member states that can promote the phase-out agenda in the EU. · Among the Government’s initiatives to reduce aviation emissions is a call for the Commission to submit proposals for putting a price tag on aviation emissions, | · The Government will also work to forge an alliance between like-minded EU member states that can promote the phase-out agenda in the EU. · Among the Government’s initiatives to reduce aviation emissions is a call for the Commission to submit proposals for putting a price tag on aviation emissions, possibly including duties to en- sure more sustainable air transport, and for the European Commission to analyse the possibility of reducing free allocations across sectors without leading to carbon leakage. | [
0,
0
] | [
"LTS"
] | [
"Among the Government’s initiatives to reduce aviation emissions is a call for the Commission to submit proposals for putting a price tag on aviation emissions, possibly including duties to ensure more sustainable air transport, and for the European Commission to analyse the possibility of reducing free allocations across sectors without leading to carbon leakage."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999330044
} | [
0,
2
] | DNK | Denmark | [
2,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Biofuels', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Biofuel', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 27, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger, E_Freight', 'a_s_i': 'Avoid, Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'National mobility plans', 'mode_water': nan, 'mode_truck': 'x', 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'A_Natmobplan', 'mode_private_cars': nan, 'category': 'Comprehensive transport planning', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | · The Government’s climate initiative for road transport defines the framework for the future regula- tion of road transport that will generate a total reduction of one million tonnes of CO2e across initi- atives in the area of passenger cars and heavy transport. Development initiatives and EU regulation: · The | · The Government’s climate initiative for road transport defines the framework for the future regula- tion of road transport that will generate a total reduction of one million tonnes of CO2e across initi- atives in the area of passenger cars and heavy transport. Development initiatives and EU regulation: · The Government will work out a strategy for the further development of the renewable fuels market in Denmark as a transitional scheme towards 2035. | [
0,
0
] | [
"LTS"
] | [
"The Government will work out a strategy for the further development of the renewable fuels market in Denmark as a transitional scheme towards 2035",
"The Government’s climate initiative for road transport defines the framework for the future regulation of road transport that will generate a total reduction of one million tonnes of CO2e across initiatives in the area of passenger cars and heavy transport."
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999306202
} | [
0,
1
] | MDV | Maldives | [
0,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': '\\xa0', 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': 'x', 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Transport Infrastructure Resilience', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'R_Infrares', 'mode_private_cars': nan, 'category': 'Structural and Technical', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
1,
0
] | · The Ibrahim Nasir International Airport is planned for expansion to handle additional passenger capacity along with an additional runway. Moreover, coastal protection measure would be carried out to protect the shoreline of Hulhule (the Airport Island) as well as for other air and sea ports. · Malé Commercial Port | · The Ibrahim Nasir International Airport is planned for expansion to handle additional passenger capacity along with an additional runway. Moreover, coastal protection measure would be carried out to protect the shoreline of Hulhule (the Airport Island) as well as for other air and sea ports. · Malé Commercial Port that handles more than 90 percent of the imported cargo. | [
0,
0
] | [
"First NDC"
] | [
"coastal protection measure would be carried out to protect the shoreline of Hulhule (the Airport Island) as well as for other air and sea ports."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999797344
} | [
0,
2
] | BEL | Belgium | [
2,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 7, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Mobility as a Service', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_Maas', 'mode_private_cars': nan, 'category': 'Digital solutions', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 7, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Intermodality measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_Intermodality', 'mode_private_cars': nan, 'category': 'Improve infrastructure', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | À cette fin, elles mettent l’accent sur une offre de qualité de modes alternatifs, des infrastructures adéquates et la promotion de la mobilité combinée 9. Le concept de Mobility-as-a-Service est également reconnu comme levier important pour atteindre l’objectif de la mobilité combinée et pour augmenter le taux d occupation des | À cette fin, elles mettent l’accent sur une offre de qualité de modes alternatifs, des infrastructures adéquates et la promotion de la mobilité combinée 9. Le concept de Mobility-as-a-Service est également reconnu comme levier important pour atteindre l’objectif de la mobilité combinée et pour augmenter le taux d occupation des véhicules (ce qui se traduit par une réduction du nombre de kilomètres parcourus par véhicule). | [
0,
0
] | [
"LTS"
] | [
"Le concept de Mobility-as-a-Service est également reconnu comme levier important pour atteindre l’objectif de la mobilité combinée et pour augmenter le taux d'occupation des véhicules (ce qui se traduit par une réduction du nombre de kilomètres parcourus par véhicule). ",
"elles mettent l’accent sur une offre de qualité de modes alternatifs, des infrastructures adéquates et la promotion de la mobilité combinée."
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9998486042
} | [
0,
1
] | DOM | Dominican Republic | [
0,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': '\\xa0', 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Transport Infrastructure Resilience', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Latin America and the Caribbean', 'parameter': 'R_Infrares', 'mode_private_cars': nan, 'category': 'Structural and Technical', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
1,
0
] | Ámbito de aplicación y cobertura Sectores de Emisiones: - Energía - Procesos Industriales y Uso de Productos - Agricultura - Residuos - Cambio de Uso de Suelo - Silvicultura y Forestal Gases de Efecto Invernadero - Dióxido de carbono (CO2) - - Oxido nitroso (N2O). Cobertura: A nivel nacional. Procesos | Ámbito de aplicación y cobertura Sectores de Emisiones: - Energía - Procesos Industriales y Uso de Productos - Agricultura - Residuos - Cambio de Uso de Suelo - Silvicultura y Forestal Gases de Efecto Invernadero - Dióxido de carbono (CO2) - - Oxido nitroso (N2O). Cobertura: A nivel nacional. Procesos de planificación Se fundamenta en la END, la Política Nacional de Cambio Climático, el Plan de Desarrollo Económico Compatible con el Cambio Climático (DECCC) y el Plan de Acción Nacional de Adaptación (PANA- RD). | [
0,
0
] | [
"First NDC"
] | [
"Infrastructure as part of strategic plan for adaptation"
] | [
[
null
]
] |
[
0,
7
] | {
"label": "fr-FR",
"score": 0.9999791384
} | [
2,
5
] | MRT | Mauritania | [
7,
0
] | [
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
7
] | Éclairage domestique efficace avec LFC Amélioration de l’efficacité énergétique de l’éclairage domestique efficace avec les ampoules fluo-compactes Éclairage efficace avec LED Amélioration de l’efficacité énergétique de l’éclairage domestique avec les ampoules LED unité en 2030 Réfrigérateur efficace Promotion des appareils d efficacité énergétique selon les règles de performance énergétique avec | Éclairage domestique efficace avec LFC Amélioration de l’efficacité énergétique de l’éclairage domestique efficace avec les ampoules fluo-compactes Éclairage efficace avec LED Amélioration de l’efficacité énergétique de l’éclairage domestique avec les ampoules LED unité en 2030 Réfrigérateur efficace Promotion des appareils d efficacité énergétique selon les règles de performance énergétique avec 15000 réfrigérateurs éco-énergétiques. Remplacement du LFC avec les LED dans l’éclairage domestique Amélioration de l’efficacité énergétique de l’éclairage domestique avec le ampoules fluo-compactes avec des ampoules LED de la nouvelle génération (140 Lumen / Watt). | [
2,
5
] | [
"Revised First NDC"
] | [
"\"Efficient lighting with LEDs: Improving the energy efficiency of home lighting with 800,000 LED bulbs unit in 2030\"",
"\"Efficient lighting with LEDs: Improving the energy efficiency of home lighting with 800,000 LED bulbs unit in 2030\": 0.72 million USD",
"\"Efficient office lighting with LED: Improving the energy efficiency of office lighting with 5000 LED bulbs\"",
"\"Efficient office lighting with LED: Improving the energy efficiency of office lighting with 5000 LED bulbs\": 0.01 million USD",
"\"Replacement of LFC with LEDs in home lighting: Improving the energy efficiency of home lighting with the replacement of 900,000 compact fluorescent bulbs with LED bulbs from the new generation (140 Lumen / Watt).\"",
"\"Replacement of LFC with LEDs in home lighting: Improving the energy efficiency of home lighting with the replacement of 900,000 compact fluorescent bulbs with LED bulbs from the new generation (140 Lumen / Watt).\": 0.8 million USD",
"\"Replacement of LFC with LEDs in home lighting: Improving the energy efficiency of home lighting with the replacement of 900,000 compact fluorescent bulbs with LED bulbs from the new generation (140 Lumen / Watt).\": 2020-2030: 24.69 Gg CO2, 2030: 8.23 Gg CO2"
] | [
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar5",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral target",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Buildings"
}
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999790192
} | [
1,
0
] | TCD | Chad | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 22, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2030, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Low-income', 'g7': 0, 'mena': 0, 'region': 'Africa', 'parameter': 'T_Energy', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 0.89358662093, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 0.1748469696}"
]
] | [
"IKITracs"
] | [
0,
1
] | Émissions de GES (kt CO2e – puits inclus) Selon les résultats d’inventaire, les émissions de GES incluant les puits ont augmenté de 49 320 kt CO2eq à 74 090 kt CO2eq entre 2010 et 2018 soit une augmentation de 50%. Figure 4. Part des émissions (hors UTCATF) en 2018 Emissions | Émissions de GES (kt CO2e – puits inclus) Selon les résultats d’inventaire, les émissions de GES incluant les puits ont augmenté de 49 320 kt CO2eq à 74 090 kt CO2eq entre 2010 et 2018 soit une augmentation de 50%. Figure 4. Part des émissions (hors UTCATF) en 2018 Emissions de GES (kt CO2e - puits inclus) Energie Agriculture Déchets Part des émissions (hors UTCATF) en 2018 L’agriculture est le principal secteur émetteur de GES au Tchad et représente environ 95% des émissions de GES. 4.1.1 Le scénario de référence Selon ce scénario de référence, les émissions de GES augmenteraient de 74 090 à 84 960 kt CO2e entre 2018 et 2030. | [
0,
0
] | [
"Revised First NDC"
] | [
"Emissions from the energy sector in kt CO2eq\nReference scenario 2018: 2 834 \nReference scenario 2030: 4 299 \nUnconditional scenario 2030: 3 909\nConditional scenario 2030: 2 320\n[all data from table] "
] | [
[
null
]
] |
[
0,
5
] | {
"label": "fr-FR",
"score": 0.999979496
} | [
4,
1
] | TCD | Chad | [
5,
0
] | [
[
null,
null
],
[
null,
null
],
[
null
]
] | [
"CW"
] | [
0,
5
] | Émissions de GES du Tchad selon les scenarios inconditionnel et conditionnel du Tchad sur la période 2010-20130 Emissions de GES (kt CO2e) y.c. UTCATF Scénario de référence Scénario inconditionnel Scénario conditionnel Tableau 2 Émissions de GES (kt CO2eq) et impacts des différents scénarios sur la période 2018-2030 Scénario de référence | Émissions de GES du Tchad selon les scenarios inconditionnel et conditionnel du Tchad sur la période 2010-20130 Emissions de GES (kt CO2e) y.c. UTCATF Scénario de référence Scénario inconditionnel Scénario conditionnel Tableau 2 Émissions de GES (kt CO2eq) et impacts des différents scénarios sur la période 2018-2030 Scénario de référence Inconditionnel Conditionnel Energie Procédés industriels NE NE NE NE Agriculture UTCATF Déchets TOTAL % de réduction Les actions considérées sont décrites ci-dessous : Le secteur de l’énergie Les projets considérés d’ici 2030 dans les scénarios sont pour le secteur de la production d’électricité : Scénario inconditionnel : - La construction d’une centrale à turbine fonctionnant au gaz de 210 MW implantée à N’Gouri dans la Province des Lac ; - La prise en compte de 2,2 MW d’éoliennes ; - La mise en place de fours de séchage améliorés pour le secteur de la pêche (150 fours de type chokor et 200 claies de séchage améliorées) permettant des gains de 30 à 40% de la consommation de bois par rapport à un four traditionnel pour le fumage du poisson. | [
1,
4
] | [
"Revised First NDC"
] | [
"\"The construction of a 210 MW gas-fired turbine power plant located in N'Gouri in Lake Province\"",
"\"The installation of improved drying ovens for the fishing sector (150 chokor type ovens and 200 improved drying racks) allowing savings of 30 to 40% of wood consumption compared to a traditional oven for smoking fish.\"",
"\"The installation of improved drying ovens for the fishing sector (150 chokor type ovens and 200 improved drying racks) allowing savings of 30 to 40% of wood consumption compared to a traditional oven for smoking fish.\" (Unconditional)"
] | [
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Gas"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct9",
"QuestionDefinition": "Unconditional part of mitigation target for a given sectoral downstream action",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Energy",
"SubSector": "Gas"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar8",
"QuestionDefinition": "Unconditional part of the mitigation effort for a given sectoral target",
"QuestionText": "Unconditional part of mitigation target",
"Sector": "Agriculture",
"SubSector": "Fisheries and Aquaculture"
},
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Energy Efficiency"
}
],
[
{
"Alpha2": "TD",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Agriculture",
"SubSector": "Fisheries and Aquaculture"
}
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999797344
} | [
0,
1
] | BFA | Burkina Faso | [
0,
1
] | [
[
"{'IkiSheet': 'benefits', 'page_number': 29, 'region': 'Africa', 'parameter': 'B_Airpollution', 'income_group': 'Low-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | Énergie renouvelable PM scenario inconditionnel PM > L’utilisation des sources alternatives d’énergie (solaires, biocarburants, etc.) permet de réduire les coûts de l’énergie pour les ménages et les entreprises qui accroissent leur productivité; > Elle permet d’atténuer la pollution générée par l’utilisation des énergies fossiles dans les transports et la production | Énergie renouvelable PM scenario inconditionnel PM > L’utilisation des sources alternatives d’énergie (solaires, biocarburants, etc.) permet de réduire les coûts de l’énergie pour les ménages et les entreprises qui accroissent leur productivité; > Elle permet d’atténuer la pollution générée par l’utilisation des énergies fossiles dans les transports et la production d’électricité. | [
0,
0
] | [
"First NDC"
] | [
"Cobenefits of renewable energy: It makes it possible to mitigate the pollution generated by the use of fossil fuels in transportation and electricity production"
] | [
[
null
]
] |
[
0,
3
] | {
"label": "fr-FR",
"score": 0.9999796152
} | [
1,
2
] | MRT | Mauritania | [
3,
0
] | [
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
0,
3
] | Éoliennes on-shore avec stockage Dans le cadre du programme « Aman », qui prévoit le développement de 30 GW d énergies solaire et éolienne pour alimenter des électrolyseurs en Mauritanie. Sur jugement consensuel de l’équipe (points focaux et experts) atteindre la capacité de éoliennes est envisageable en 2030. | Éoliennes on-shore avec stockage Dans le cadre du programme « Aman », qui prévoit le développement de 30 GW d énergies solaire et éolienne pour alimenter des électrolyseurs en Mauritanie. Sur jugement consensuel de l’équipe (points focaux et experts) atteindre la capacité de éoliennes est envisageable en 2030. | [
1,
2
] | [
"Revised First NDC"
] | [
"\"On-shore wind turbines with storage: As part of the \"Aman\" program, which provides for the development of 30 GW of solar energy and wind turbine to power electrolysers in Mauritania. On the consensus judgment of the team (focal points and experts) reach the capacity of 5GW wind turbines is conceivable in 2030.\"",
"\"On-shore wind turbines with storage: As part of the \"Aman\" program, which provides for the development of 30 GW of solar energy and wind turbine to power electrolysers in Mauritania. On the consensus judgment of the team (focal points and experts) reach the capacity of 5GW wind turbines is conceivable in 2030.\": 2020-2030: 12,137.5 GgCO2, 2030: 6,068.8 GgCO2",
"\"On-shore wind turbines with storage: As part of the \"Aman\" program, which provides for the development of 30 GW of solar energy and wind turbine to power electrolysers in Mauritania. On the consensus judgment of the team (focal points and experts) reach the capacity of 5GW wind turbines is conceivable in 2030.\": 9,764.4"
] | [
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct2",
"QuestionDefinition": "Sectoral downstream actions to be undertaken as part of the NDC contribution",
"QuestionText": "Downstream actions",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct5",
"QuestionDefinition": "Emission reduction potential for a given sectoral downstream action ",
"QuestionText": "Emission reduction potential ",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Actions",
"QuestionCode": "M_SecAct6",
"QuestionDefinition": "Estimated total cost of implementation for a given sectoral downstream action (mitigation and adaptation)",
"QuestionText": "Estimated total costs for implementation",
"Sector": "Energy",
"SubSector": "Renewable Energy: Wind"
}
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999798536
} | [
1,
3
] | GIN | Guinea | [
3,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 32, 'renewable_energy_target': nan, 'transport_target_type': 'T_O_EFF', 'target_year': 2030, 'country_netzero target_exists': nan, 'country_summary_transport_targets': 'Transport GHG and non-GHG targets', 'target_type': nan, 'oecd': 'non-OECD', 'income_group': 'Low-income', 'g7': 0, 'mena': 0, 'region': 'Africa', 'parameter': 'T_Transport_O_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 2.9209716052, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 1.333532426}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 32, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Ethanol', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Ethanol', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 32, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'LPG/CNG/LNG', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_LPGCNGLNG', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 32, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General e-mobility', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
4
] | Étudier, expérimenter et faire connaître les solutions innovantes de mobilité durable: promouvoir l’importation et encourager la mobilité électrique, la conversion au gaz, biocarburant (éthanol) Objectif conditionnel Application de l’interdiction des voitures de plus de 8 ans (norme CEDEAO) dès 2022 soit 500 000 Mise en œuvre du scénario intégré du | Étudier, expérimenter et faire connaître les solutions innovantes de mobilité durable: promouvoir l’importation et encourager la mobilité électrique, la conversion au gaz, biocarburant (éthanol) Objectif conditionnel Application de l’interdiction des voitures de plus de 8 ans (norme CEDEAO) dès 2022 soit 500 000 Mise en œuvre du scénario intégré du PDU de Conakry : - Une ligne BRT Le Prince Kaloum / Sonfonya par corniche de 33,5km. - Une ligne HRT Kaloum / Kagbelen de 33,5 km. | [
0,
0
] | [
"Revised First NDC"
] | [
"Application de l’interdiction des voitures de plus de 8 ans (norme CEDEAO) dès 2022 soit […] 1 000 000 voitures d’ici 2030",
"la conversion au [...] biocarburant (éthanol)",
"la conversion au gaz",
"promouvoir l’importation et encourager la mobilité électrique"
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.4746051431
} | [
1,
0
] | UGA | Uganda | [
0,
1
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': nan, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': nan, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Low-income', 'g7': 0, 'mena': 0, 'region': 'Africa', 'parameter': 'T_Economy_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 5.3395531738, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 2.078594328}"
]
] | [
"IKITracs"
] | [
0,
1
] | Додаток 2: Переклад ОНВВ України Intended Nationally-Determined Contribution (INDC) of Ukraine to a New Global Climate Agreement Over the years of independence since 1991, Ukraine has contributed greatly, with 10.2 billion t to reduction of global greenhouse gas emissions. Greenhouse gas (GHG) emissions in Ukraine amounted to 944.4 Mt CO2eq | Додаток 2: Переклад ОНВВ України Intended Nationally-Determined Contribution (INDC) of Ukraine to a New Global Climate Agreement Over the years of independence since 1991, Ukraine has contributed greatly, with 10.2 billion t to reduction of global greenhouse gas emissions. Greenhouse gas (GHG) emissions in Ukraine amounted to 944.4 Mt CO2eq in 1990, and 402.7 Mt CO2eq (excluding LULUCF) in 2012, i.e. 42.6% of the 1990 level. | [
0,
0
] | [
"First NDC"
] | [
"22% reduction of national greenhouse gas emissions in 2030 compared to BAU"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "ar-SA",
"score": 0.999973774
} | [
0,
4
] | QAT | Qatar | [
4,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 'MENA', 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Inspection and maintenance', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Inspection', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 'MENA', 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General vehicle improvements', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Vehicleimprove', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 'MENA', 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Public transit integration and expansion', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'S_PTIntegration', 'mode_private_cars': nan, 'category': 'Public transport improvement', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 'MENA', 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Traffic management', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'A_LATM', 'mode_private_cars': nan, 'category': 'Comprehensive transport planning', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
4
] | زرحملا مدقتلا نع غلابلإاو دصرلا مت ءاشنإ ةرادا ةصصخم ريغتل خانملا يف ةرازو ةئيبلا زيزعتل ةرادإ عوضومريغت خانملا ىلع ىوتسملا ينطولا وعضو عمجل ةيلآ تانايبلا دادعإو يف زرحملا مدقتلا عبتتل ققحتلاو غلابلإاو دصرلل ينطولا ماظنلا اذه مادختسا نكميو .ريراقتلا تامهاسملا ريرقت نم فدهلا قيقحت وحن ًامدق عفدلا اهنأش نم يتلا | زرحملا مدقتلا نع غلابلإاو دصرلا مت ءاشنإ ةرادا ةصصخم ريغتل خانملا يف ةرازو ةئيبلا زيزعتل ةرادإ عوضومريغت خانملا ىلع ىوتسملا ينطولا وعضو عمجل ةيلآ تانايبلا دادعإو يف زرحملا مدقتلا عبتتل ققحتلاو غلابلإاو دصرلل ينطولا ماظنلا اذه مادختسا نكميو .ريراقتلا تامهاسملا ريرقت نم فدهلا قيقحت وحن ًامدق عفدلا اهنأش نم يتلا عيراشملاو لامعلأاو ةمزتعملا ىوتسملا ىلع ةددحملا .ينطولا 7. حومطلاو ةلادعلا تامهاسملا ريرقت دنتسياةمزتعمل ينطولا ىوتسملا ىلع ةددحملاو ( ةرقفلا صخلأابو ةيقافتلاا ئدابمو ماكحأ ىلع0 نم ) تلا ةينطولا ططخلاو تاءارجلاا عيمجةيعوط ريرقتلا اذه يف اهركذ مت ي ،معدلاو ذيفنتلا لئاسو و ئدابمل ًاقفو نوكتس ماكحأو ةيقافتا مملأا ةدحتملا ةيراطلإا نأشب ريغت خانملا صوصخلا هجو ىلعو ةداملا (4( ةرقف )7)، ( ةداملاو20 ةرقف ) ظفتحت رطق ةلود قحلاب يف ثيدحتلاو ليصفتلا نم ديزملاسملا ريرقت تامهةمزتعملا ينطولا ىوتسملا ىلع ةددحملاو امب ىشامتي عم اهفورظ ةينطولا ةصاخلا، تابلطتمو ةيمنتلا ةمادتسملا ةيغب بنجت ةيداصتقلاا راثلآا ةيعامتجلااو ريبادتل ةباجتسلاا. | [
0,
0
] | [
"First NDC"
] | [
"In Qatar, Vehicles Inspection Services regulates the emissions of vehicles. ",
"Qatar continues to improve the emission standards for new motor vehicles, in accordance with regional and global emission standards.",
"Qatar introduced public transportation to reduce the demand on private vehicles and direct the nation towards the use of the public transportation",
"expressway programs that would enhance the traffic flow and divert it outside the cities"
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9995595813
} | [
2,
0
] | MEX | Mexico | [
0,
2
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 5, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2030, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Latin America and the Caribbean', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 485.0036041327, 'ghg_transport_target_type': nan, 'g20': 'G20', 'target_scope': nan, 'ghg_transport': 138.845178591}"
],
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 5, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2030, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Latin America and the Caribbean', 'parameter': 'T_Economy_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 485.0036041327, 'ghg_transport_target_type': nan, 'g20': 'G20', 'target_scope': nan, 'ghg_transport': 138.845178591}"
]
] | [
"IKITracs"
] | [
0,
2
] | ظ Unconditional contributions: Consist of, alternatively: Reduction of 22% of greenhouse gas emis- sions (GHG) and 51% of black carbon emissions by 2030 as compared to the baseline business-as- usual scenario (BAU). ظ Conditional contributions: A reduction of up to 36% of GHG emissions and 70% of black carbon emissions | ظ Unconditional contributions: Consist of, alternatively: Reduction of 22% of greenhouse gas emis- sions (GHG) and 51% of black carbon emissions by 2030 as compared to the baseline business-as- usual scenario (BAU). ظ Conditional contributions: A reduction of up to 36% of GHG emissions and 70% of black carbon emissions by 2030 compared to the BAU scenario. | [
0,
0
] | [
"Revised First NDC"
] | [
"Reduction of 22% of GHG emissions and 51% of black carbon emissions by 2030 as compared to the BAU scenario",
"Up to 36% reduction of GHG emissions and 70% of black carbon emissions by 2030 compared to the BAU scenario"
] | [
[
null
],
[
null
]
] |
[
0,
4
] | {
"label": "fr-FR",
"score": 0.9999781847
} | [
2,
2
] | MRT | Mauritania | [
0,
4
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] | [
"CW"
] | [
4,
0
] | – 20 Mo $US) ▪ Résilience des écosystèmes et des populations dans 4 pôles régionaux du Nord (ONU-Env. | – 20 Mo $US) ▪ Résilience des écosystèmes et des populations dans 4 pôles régionaux du Nord (ONU-Env. | [
2,
2
] | [
"Revised First NDC"
] | [
"20 forest",
"Livestock: “Creation of new artificial insemination farms (at least 20 farms)” (p. 18)",
"Natural resources: “Development and creation of classified forests (20 forests)” (p. 17)",
"at least 20 farms"
] | [
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Agriculture",
"SubSector": "Livestock"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable forest management"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Livestock"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999344349
} | [
0,
1
] | IND | India | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | ‘Give It Up’ Campaign launched to encourage citizens to give up subsidy on cooking gas to meet the needs of the truly needy citizens, thereby promote shift away from inefficient use of biomass in rural areas. CLIMATE FINANCE POLICIES. Setting up of INR 3,500 million (USD 55.6 million) National Adaptation | ‘Give It Up’ Campaign launched to encourage citizens to give up subsidy on cooking gas to meet the needs of the truly needy citizens, thereby promote shift away from inefficient use of biomass in rural areas. CLIMATE FINANCE POLICIES. Setting up of INR 3,500 million (USD 55.6 million) National Adaptation Fund. Reduction in subsidies on fossil fuels including diesel, kerosene and domestic LPG. | [
0,
1
] | [
"INDC"
] | [
"-˜Give It Up‘ Campaign to encourage citizens to give up subsidy on cooking gas to meet the needs of the truly needy citizens, thereby promote shift away from inefficient use of biomass in rural areas."
] | [
[
{
"Alpha2": "IN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_Pol",
"QuestionDefinition": "Sectoral plans and strategies for adaptation.",
"QuestionText": "Sectoral Policies",
"Sector": "Energy",
"SubSector": "Biomass energy"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9998139739
} | [
0,
2
] | UZB | Uzbekistan | [
2,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General alternative fuels', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': 'x', 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Altfuels', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': nan, 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'General alternative fuels', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'I_Altfuels', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | ’ Expansion of measures on motor vehicles change over to run on alternative fuel. | ’ Expansion of measures on motor vehicles change over to run on alternative fuel. | [
0,
0
] | [
"First NDC"
] | [
"Expansion of measures on motor vehicles change over to run on alternative fuel"
] | [
[
null,
null
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999315739
} | [
1,
0
] | NRU | Nauru | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | “1) Development of Landfill Master Plan and Operations Plan, 2) Improving the design of the dumping area, including staging of cell development and filling, 3) Consolidating the historic waste on the site, either in constructed cells or specific areas, 4) Developing cell(s) for controlled dumping of waste, 5) Compacting waste | “1) Development of Landfill Master Plan and Operations Plan, 2) Improving the design of the dumping area, including staging of cell development and filling, 3) Consolidating the historic waste on the site, either in constructed cells or specific areas, 4) Developing cell(s) for controlled dumping of waste, 5) Compacting waste placed in the new landfill cell(s), 6) Maintaining stockpile of suitable material for cover and construction of bunds and cap on-site, and 7) Keeping the active tipping area as small as possible to minimise the amount of rainwater falling on open waste dumping areas.” (p. 35) | [
0,
1
] | [
"Revised First NDC"
] | [
"“1) Development of Landfill Master Plan and Operations Plan, 2) Improving the design of the dumping area, including staging of cell development and filling, 3) Consolidating the historic waste on the site, either in constructed cells or specific areas, 4) Developing cell(s) for controlled dumping of waste, 5) Compacting waste placed in the new landfill cell(s), 6) Maintaining stockpile of suitable material for cover and construction of bunds and cap on-site, and 7) Keeping the active tipping area as small as possible to minimise the amount of rainwater falling on open waste dumping areas.” (p. 35)"
] | [
[
{
"Alpha2": "NR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Environment",
"SubSector": "Pollution control"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999227524
} | [
1,
0
] | KHM | Cambodia | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | “By 2030: - 10+ regional exchange to countries that have globally recognized specialized irrigation and water resources experience- 1 nationwide (35 river basins) soil assessment program for irrigation investment established- 1 national standard for design, construction and performance monitoring of irrigation schemes developed- Establish 502 long-term O&M contracts for large | “By 2030: - 10+ regional exchange to countries that have globally recognized specialized irrigation and water resources experience- 1 nationwide (35 river basins) soil assessment program for irrigation investment established- 1 national standard for design, construction and performance monitoring of irrigation schemes developed- Establish 502 long-term O&M contracts for large irrigation schemes to set-up organizational, management, operational, financial and administration systems, including building PDWRAM and Farmer Water User Committee capabilities- Establish 10+ small pilot trials (50 ha to 100 ha) to test cutting edge technology and advance irrigation practice, including testing water delivery systems, preparation measures, crop types and patterns, fertilizers, and potential scale up cost and benefits- Establish 544 Farmer Water User Committees6 large water storage infrastructures500+ rehabilitated and new irrigation schemes with O&M plans” (p. 134) | [
0,
1
] | [
"Revised First NDC"
] | [
"“By 2030: - 10+ regional exchange to countries that have globally recognized specialized irrigation and water resources experience- 1 nationwide (35 river basins) soil assessment program for irrigation investment established- 1 national standard for design, construction and performance monitoring of irrigation schemes developed- Establish 502 long-term O&M contracts for large irrigation schemes to set-up organizational, management, operational, financial and administration systems, including building PDWRAM and Farmer Water User Committee capabilities- Establish 10+ small pilot trials (50 ha to 100 ha) to test cutting edge technology and advance irrigation practice, including testing water delivery systems, preparation measures, crop types and patterns, fertilizers, and potential scale up cost and benefits- Establish 544 Farmer Water User Committees6 large water storage infrastructures500+ rehabilitated and new irrigation schemes with O&M plans” (p. 134)"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Agriculture",
"SubSector": "Irrigation"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9998966455
} | [
1,
0
] | KHM | Cambodia | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | “By 2030: Development of Technical Climate Change Toolkit s for Mainstreaming Climate Change Measures and formulation of Climate Change Toolkit s for coastal area management for both land use, building and housings- By 2025: All (200 Engineers) Building Planner and Designer Received Capacity Building on Kits - By 2026: At | “By 2030: Development of Technical Climate Change Toolkit s for Mainstreaming Climate Change Measures and formulation of Climate Change Toolkit s for coastal area management for both land use, building and housings- By 2025: All (200 Engineers) Building Planner and Designer Received Capacity Building on Kits - By 2026: At least 30% of building permits are fully followed the Toolkits By 2030: At least 60% of Building Permits are fully with toolkit s elements - By 2026: Infrastructure and building development in one coastal zone is designed and mainstreaming through climate change toolkit s against sea water rise, tidal, and waste water management storage - By 2050: Infrastructure and building development in two coastal zones is designed and mainstreaming through climate change toolkit s against sea water rise, tidal, and waste water management storage (conditional)” (p. 120) | [
0,
1
] | [
"Revised First NDC"
] | [
"“By 2030: Development of Technical Climate Change Toolkit s for Mainstreaming Climate Change Measures and formulation of Climate Change Toolkit s for coastal area management for both land use, building and housings- By 2025: All (200 Engineers) Building Planner and Designer Received Capacity Building on Kits - By 2026: At least 30% of building permits are fully followed the Toolkits By 2030: At least 60% of Building Permits are fully with toolkit s elements - By 2026: Infrastructure and building development in one coastal zone is designed and mainstreaming through climate change toolkit s against sea water rise, tidal, and waste water management storage - By 2050: Infrastructure and building development in two coastal zones is designed and mainstreaming through climate change toolkit s against sea water rise, tidal, and waste water management storage (conditional)” (p. 120)"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Urban",
"SubSector": "Buildings"
}
]
] |
[
0,
1
] | {
"label": "en-US",
"score": 0.9999302626
} | [
1,
0
] | KHM | Cambodia | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | “By: 2030 - 10 River Basins have updated River Basin Management Plans - 1 Water Resource and Storage Assessment for River Basin Group completed, for 3+ River Basin Groups/25 River Basins - 1 National Water Resource Management Information Centre established, with facilities to store, analyze and report on water resources | “By: 2030 - 10 River Basins have updated River Basin Management Plans - 1 Water Resource and Storage Assessment for River Basin Group completed, for 3+ River Basin Groups/25 River Basins - 1 National Water Resource Management Information Centre established, with facilities to store, analyze and report on water resources data and information, and inform management decisions, and established process for data sharing. - Development of modern and modular fit-for-purpose Decision Support Systems (database, water modelling packages, user interfaces) incorporating remote sensing and observed field data, economic and social information that covers at least 25 River Basins - 20+ of PDWRAM staff, FWUCs, and young-to-middle level Cambodian water professionals receive quarterly training in water resource management - 252 of communities educated on climate and water resource management - Establishment of 252 knowledge hubs to build local understanding of water resources (water and soil), scheme condition and performance, changes in agricultural inputs and outputs etc. - 1 National Water Analytic System covering 32 river basins” (p. 132) | [
0,
1
] | [
"Revised First NDC"
] | [
"“By: 2030 - 10 River Basins have updated River Basin Management Plans - 1 Water Resource and Storage Assessment for River Basin Group completed, for 3+ River Basin Groups/25 River Basins - 1 National Water Resource Management Information Centre established, with facilities to store, analyze and report on water resources data and information, and inform management decisions, and established process for data sharing. - Development of modern and modular fit-for-purpose Decision Support Systems (database, water modelling packages, user interfaces) incorporating remote sensing and observed field data, economic and social information that covers at least 25 River Basins - 20+ of PDWRAM staff, FWUCs, and young-to-middle level Cambodian water professionals receive quarterly training in water resource management - 252 of communities educated on climate and water resource management - Establishment of 252 knowledge hubs to build local understanding of water resources (water and soil), scheme condition and performance, changes in agricultural inputs and outputs etc. - 1 National Water Analytic System covering 32 river basins” (p. 132)"
] | [
[
{
"Alpha2": "KH",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_tar",
"QuestionDefinition": "Measurable targets or indicators",
"QuestionText": "Targets",
"Sector": "Water",
"SubSector": "Water management"
}
]
] |
[
0,
0
] | {
"label": "es-ES",
"score": 0.9999591112
} | [
4,
0
] | PRY | Paraguay | [
0,
4
] | [
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': nan, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': nan, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Latin America and the Caribbean', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 8.4659567292, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 7.1952054}"
],
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': nan, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': nan, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Latin America and the Caribbean', 'parameter': 'T_Economy_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 8.4659567292, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 7.1952054}"
],
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 5, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2030, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Latin America and the Caribbean', 'parameter': 'T_Economy_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 8.4659567292, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 7.1952054}"
],
[
"{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 5, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2030, 'country_netzero target_exists': nan, 'country_summary_transport_targets': nan, 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Latin America and the Caribbean', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 8.4659567292, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 7.1952054}"
]
] | [
"IKITracs"
] | [
0,
4
] | “Desviación del escenario de Business as Usual” Meta Global 20% de reducciones en base al comportamiento de las emisiones - proyectadas al 2030. Meta Unilateral: 10% de reducción de emisiones proyectadas al 2030 - Meta Condicionada: 10% de reducción de emisiones proyectadas al Línea Base Punto de Referencia: INGEI año | “Desviación del escenario de Business as Usual” Meta Global 20% de reducciones en base al comportamiento de las emisiones - proyectadas al 2030. Meta Unilateral: 10% de reducción de emisiones proyectadas al 2030 - Meta Condicionada: 10% de reducción de emisiones proyectadas al Línea Base Punto de Referencia: INGEI año base 2000 presentado en la Segunda Comunicación Nacional. | [
0,
0
] | [
"Revised First NDC",
"First NDC"
] | [
"10% by 2030 relative to BAU scenario",
"A further 10% by 2030 relative to BAU scenario",
"Meta Condicionada: 10% de reducción de emisiones proyectadas al 2030 ",
"Meta Unilateral: 10% de reducción de emisiones proyectadas al 2030"
] | [
[
null
],
[
null
],
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999295473
} | [
0,
1
] | DJI | Djibouti | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': nan, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 'MENA', 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'Vehicle restrictions (import, age, access, sale, taxation)', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_VehicleRestrictions', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | “Green Mosques” Implementation of energy efficiency and effectiveness solutions in the country’s mosques. Reforestation with agroforestry Installation of 1,000 hectares of agroforestry system. Restriction on imports of older model cars Elimination of the import of 10,000 old cars producing too much pollution. Equity and ambition of the contribution of the | “Green Mosques” Implementation of energy efficiency and effectiveness solutions in the country’s mosques. Reforestation with agroforestry Installation of 1,000 hectares of agroforestry system. Restriction on imports of older model cars Elimination of the import of 10,000 old cars producing too much pollution. Equity and ambition of the contribution of the Republic of Djibouti On a global scale, the IPCC calculated the quantity of GHGs as more than 49,000 Mt of CO2e in 2004. | [
0,
0
] | [
"First NDC"
] | [
"Eliminate the import of 10,000 old cars that produce excessive pollution"
] | [
[
null
]
] |
[
0,
12
] | {
"label": "en-US",
"score": 0.9979884624
} | [
0,
12
] | MOZ | Mozambique | [
0,
12
] | [
[
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null,
null
]
] | [
"CW"
] | [
12,
0
] | “Preliminary assessment of CO2 storage potential in the Rovuma sedimentary basin, Mozambique”. Energy Procedia 63, 5141-5152. Carniero, J., A. Olímpio Gonçalves, R. Iglesias, C. Moniz, E. Pereira, A. Pinto Manuel and G. Mota, 2015. Carbon Capture and Storage in the Community of Portuguese Language Countries: Opportunities and Challenges. Report by | “Preliminary assessment of CO2 storage potential in the Rovuma sedimentary basin, Mozambique”. Energy Procedia 63, 5141-5152. Carniero, J., A. Olímpio Gonçalves, R. Iglesias, C. Moniz, E. Pereira, A. Pinto Manuel and G. Mota, 2015. Carbon Capture and Storage in the Community of Portuguese Language Countries: Opportunities and Challenges. Report by Escola de Ciências e Tecnologia, Universidade de Évora, Évora. May 2015. CIAT; World Bank. 2017. Climate-Smart Agriculture in Mozambique. CIAT; World Bank. 2017. Climate-Smart Agriculture in Mozambique. CSA Country Profiles for Africa Series. | [
0,
12
] | [
"Revised First NDC"
] | [
"Achieving policy coherence by making agriculture interventions climate-smart"
] | [
[
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Agriculture: General"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Cross-Cutting Area",
"SubSector": "Capacity building and knowledge transfer"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Agroforestry"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Land degradation"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Climate smart agriculture"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable land management"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Crops"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Energy",
"SubSector": "Biomass energy"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Fisheries and aquaculture"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Coastal Zone",
"SubSector": "Mangroves"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Agriculture",
"SubSector": "Irrigation"
},
{
"Alpha2": "MZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Energy",
"SubSector": "Renewable energy"
}
]
] |
[
0,
4
] | {
"label": "en-US",
"score": 0.9999246597
} | [
0,
4
] | UZB | Uzbekistan | [
0,
4
] | [
[
null,
null,
null,
null
]
] | [
"CW"
] | [
4,
0
] | “Revised Guidelines for National Greenhouse Gas Inventories, IPCC, 1996”. “Guidelines for National Greenhouse Gas Inventories, IPCC, 2006”. “Reporting on Climate Change: User Manual for the Guidelines on National Communications from Non-Annex I Parties, 2004”. Planning processes for strengthening measures and actions for climate change mitigation and adaptation. Political measures. | “Revised Guidelines for National Greenhouse Gas Inventories, IPCC, 1996”. “Guidelines for National Greenhouse Gas Inventories, IPCC, 2006”. “Reporting on Climate Change: User Manual for the Guidelines on National Communications from Non-Annex I Parties, 2004”. Planning processes for strengthening measures and actions for climate change mitigation and adaptation. Political measures. | [
0,
4
] | [
"First NDC"
] | [
"Embedding NbS into adaptation planning and policy"
] | [
[
{
"Alpha2": "UZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Ecosystem and biodiversity"
},
{
"Alpha2": "UZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "Environment",
"SubSector": "Watershed and river basin management"
},
{
"Alpha2": "UZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Afforestation"
},
{
"Alpha2": "UZ",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "GCA_subsector",
"QuestionDefinition": "GCA_subsector",
"QuestionText": "Adapt Now subsector",
"Sector": "LULUCF/Forestry",
"SubSector": "Reforestation"
}
]
] |
[
1,
0
] | {
"label": "en-US",
"score": 0.9999320507
} | [
0,
1
] | BRN | Brunei | [
0,
1
] | [
[
null
]
] | [
"CW"
] | [
1,
0
] | “Top-down” approaches include legislation and regulations in the land use sector, such as restrictions and reduced-scale on logging activities which include limiting tree numbers to be cut in designated zones, the height of those trees and setting a minimum distance from a river where trees can be felled (which provides | “Top-down” approaches include legislation and regulations in the land use sector, such as restrictions and reduced-scale on logging activities which include limiting tree numbers to be cut in designated zones, the height of those trees and setting a minimum distance from a river where trees can be felled (which provides protection against flooding due to preserving soil quality around the rivers). The authorities carry out aerial monitoring as well as planned and random forest patrols, in addition to dedicated border inspections. “Bottom-up” approaches include:i. | [
0,
1
] | [
"INDC"
] | [
"Legislation and regulations in the land use sector, such as restrictions and reduced-scale on logging activities."
] | [
[
{
"Alpha2": "BN",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_Pol",
"QuestionDefinition": "Sectoral plans and strategies for adaptation.",
"QuestionText": "Sectoral Policies",
"Sector": "LULUCF/Forestry",
"SubSector": "Sustainable land management"
}
]
] |
[
0,
2
] | {
"label": "en-US",
"score": 0.9999251366
} | [
0,
2
] | SGP | Singapore | [
0,
2
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
2,
0
] | “source” solutions such as on-site detention) and the areas where floods may occur (i.e. “receptor” solutions like platform levels and flood barriers). Commercial, industrial, institutional and residential developments and redevelopments greater than or equal to 0.2 hectares are required to implement on- site storm water detention measures to reduce the | “source” solutions such as on-site detention) and the areas where floods may occur (i.e. “receptor” solutions like platform levels and flood barriers). Commercial, industrial, institutional and residential developments and redevelopments greater than or equal to 0.2 hectares are required to implement on- site storm water detention measures to reduce the peak discharge into the public drainage system. e. Enhancing water security: Singapore has developed a robust, diversified water supply system through “The Four National Taps”: namely, local catchment water, imported water, NEWater[7] and desalinated water. | [
2,
0
] | [
"First NDC",
"INDC"
] | [
"Commercial, industrial, institutional and residential developments and redevelopments greater than or equal to 0.2 hectares are required to implement onsite storm water detention measures.",
"Addressing flood risks: \"Commercial, industrial, institutional and residential developments and redevelopments greater than or equal to 0.2 hectares are required to implement onsite storm water detention measures to reduce the peak discharge into the public drainage system.\" (p. 6)"
] | [
[
{
"Alpha2": "SG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "A_Sc_UncAct",
"QuestionDefinition": "Unconditional sectoral actions",
"QuestionText": "Sectoral Unconditional Actions",
"Sector": "Cross-Cutting Area",
"SubSector": "Climate risk management"
}
],
[
{
"Alpha2": "SG",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Water",
"SubSector": "Infrastructure"
}
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999792576
} | [
0,
1
] | TUN | Tunisia | [
0,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': 69, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 'MENA', 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Risk assessment', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'R_Risk', 'mode_private_cars': nan, 'category': 'Structural and Technical', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
1,
0
] | • Mesure 3 : Renforcer les mécanismes de financement par des instruments économiques novateurs • Mesure 4 : Protection des nappes littorales des risques d intrusion marine • Mesure 5 : Extension, réhabilitation et protection des ports de pêche en adéquation avec les résultats du plan directeur des ports et | • Mesure 3 : Renforcer les mécanismes de financement par des instruments économiques novateurs • Mesure 4 : Protection des nappes littorales des risques d intrusion marine • Mesure 5 : Extension, réhabilitation et protection des ports de pêche en adéquation avec les résultats du plan directeur des ports et en prenant en considération les impacts du changement climatique RÉSILIENCE ÉCONOMIQUE – RECO Priorité 1 : Moderniser la gestion de l information, faciliter l accès et le partage des connaissances et prévoir les risques en lien avec le changement climatique • Mesure 1 : Engager, en concertation avec les parties prenantes, des études prospectives sur les vulnérabilités, les coûts de l’inaction et les pistes d’adaptation des principales filières économiques vulnérables (tourisme, bâtiments/constructions, banques et finances, transports, énergie, numérique, etc.) | [
0,
0
] | [
"Revised First NDC"
] | [
"Engager, en concertation avec les parties prenantes, des études prospectives sur les vulnérabilités, les coûts de l’inaction et les pistes d’adaptation des principales filières économiques vulnérables (tourisme, bâtiments/constructions, banques et finances, transports, énergie, numérique, etc.)"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.999979496
} | [
0,
1
] | MAR | Morocco | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 18, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 'MENA', 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Freight', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General freight efficiency improvements', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Freighteff', 'mode_private_cars': nan, 'category': 'Freight efficiency improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | • Réduire les coûts logistiques au profit des consommateurs et de la compétitivité des opérateurs économiques et par une gestion optimisée, sécurisée et massifiée des flux de marchandises ; • Accélérer la croissance du PIB par l’augmentation de la valeur ajoutée induite par la baisse des coûts logistiques ; • | • Réduire les coûts logistiques au profit des consommateurs et de la compétitivité des opérateurs économiques et par une gestion optimisée, sécurisée et massifiée des flux de marchandises ; • Accélérer la croissance du PIB par l’augmentation de la valeur ajoutée induite par la baisse des coûts logistiques ; • Contribuer au développement durable par la réduction des nuisances. | [
0,
0
] | [
"Revised First NDC"
] | [
"Réduire les coûts logistiques au profit des consommateurs et de la compétitivité des opérateurs économiques et par une gestion optimisée, sécurisée et massifiée des flux de marchandises\nAccélérer la croissance du PIB par l’augmentation de la valeur ajoutée induite par la baisse des coûts logistiques; \nContribuer au développement durable par la réduction des nuisances.\n"
] | [
[
null
]
] |
[
0,
2
] | {
"label": "fr-FR",
"score": 0.999979496
} | [
1,
1
] | MRT | Mauritania | [
1,
1
] | [
[
null
],
[
null
]
] | [
"CW"
] | [
1,
1
] | • 10 000 logements construits en milieu urbain défavorisé (dont 690 à NKC et 1010 dans les capitales régionales en 2021) ; • 100 logements en matériaux locaux à N diago (ville verte) ; • 50 logements en matériaux locaux à Selibabi Santé Sécheresses plus fréquentes et plus sévères Perturbation | • 10 000 logements construits en milieu urbain défavorisé (dont 690 à NKC et 1010 dans les capitales régionales en 2021) ; • 100 logements en matériaux locaux à N diago (ville verte) ; • 50 logements en matériaux locaux à Selibabi Santé Sécheresses plus fréquentes et plus sévères Perturbation de la saison des pluies Augmentation de la température Pluies intenses plus sévères • Vents, fumées et poussières • Canicule • Maladies hydriques • Malnutrition • Mise en place d’un programme de lutte contre les maladies à facteurs de risque commun • Mise en place d’un réseau de surveillance et renforcement du système d’alerte précoce climat/sante/sécurité alimentaire Education/ Enseignement Supérieur/ • Mettre en place des programmes de recherche et d’études à long terme pour renseigner les investissements futurs dans l’adaptation pour tous les secteurs de développement prioritaires face aux enjeux de l’adaptation au CONTRIBUTION DENTERMINEE AU NIVEAU NATIONAL CDN MAURITANIE Secteurs Aléas climatiques/Proje ctions Vulnérabilités / Impacts Actions adaptation recherche changement climatique (Horizon 2030). | [
1,
1
] | [
"Revised First NDC"
] | [
"\"Industrial Energy Efficiency Program: Reduction of energy demand in the industrial sector by 10% over the horizon 2030.\"",
"Housing, town planning and land use planning: “10,000 housing units built in underprivileged urban areas (including 690 in NKC and 1,010 in regional capitals in 2021)"
] | [
[
{
"Alpha2": "MR",
"OverviewCategory": "Sectoral Mitigation Targets",
"QuestionCode": "M_SecTar1",
"QuestionDefinition": "Targets at the sectoral level",
"QuestionText": "Sectoral targets on",
"Sector": "Energy",
"SubSector": "Demand-side Efficiency: Industries"
}
],
[
{
"Alpha2": "MR",
"OverviewCategory": "Adaptation Commitments",
"QuestionCode": "ad_sec_action",
"QuestionDefinition": "Adaptation action/priority",
"QuestionText": "Action and priority",
"Sector": "Urban",
"SubSector": "Buildings"
}
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999153614
} | [
0,
1
] | LVA | Latvia | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 42, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Innovation and up-scaling', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': 'x', 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Jet fuel policies', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Jetfuel', 'mode_private_cars': nan, 'category': 'Aviation improvements', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | • Air transport efficiently uses modern biofuels and energy-efficient solutions are integrated into aircraft and airports High-performance fuels and biofuels have reduced GHG emissions from air transport. Owing to technological innovations and improvements of efficiency, the aviation sector has become more efficient and is using RES fuels (biopetrol and e-fuel). | • Air transport efficiently uses modern biofuels and energy-efficient solutions are integrated into aircraft and airports High-performance fuels and biofuels have reduced GHG emissions from air transport. Owing to technological innovations and improvements of efficiency, the aviation sector has become more efficient and is using RES fuels (biopetrol and e-fuel). Air transport is efficiently using biofuels other than first-generation biofuels and alternative fuels, including possibilities of electric mobility, particularly in small-scale aviation and domestic aerial transport. | [
0,
0
] | [
"LTS"
] | [
"Air transport efficiently uses modern biofuels and energy-efficient solutions are integrated into aircraft and airports"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999307394
} | [
0,
1
] | LVA | Latvia | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 42, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General alternative fuels', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Altfuels', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | • Alternative fuels and energy-efficient solutions for the reduction of fuel consumption are used in water transport GHG emissions in water transport are significantly reduced by using such tools as the hull design (which improves energy efficiency), different economies of scale resulting from capacity and drive solutions, optimum speed, determination | • Alternative fuels and energy-efficient solutions for the reduction of fuel consumption are used in water transport GHG emissions in water transport are significantly reduced by using such tools as the hull design (which improves energy efficiency), different economies of scale resulting from capacity and drive solutions, optimum speed, determination of weather conditions and planning, alternative energy sources, and RES. E-fuel, hydrogen, biofuel in pure form or mixed with fossil fuel are used from RES, thus reducing both GHG emissions and environmental load. | [
0,
0
] | [
"LTS"
] | [
"Alternative fuels and energy-efficient solutions for the reduction of fuel consumption are used in water transport"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "fr-FR",
"score": 0.9999799728
} | [
0,
1
] | COG | Congo | [
0,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': 28, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Design Standards and updates', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'R_Design', 'mode_private_cars': nan, 'category': 'Institutional and Regulatory', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
1,
0
] | • Améliorer la technologie (c.-à-d. Les moustiquaires) et la distribution • Améliorer la recherche sur la compréhension des impacts et des réponses • Accès accru à l’eau potable et à l’assainissement de base dans les zones rurales, ce qui entraîne une diminution du paludisme et d’autres maladies à transmission vectorielle | • Améliorer la technologie (c.-à-d. Les moustiquaires) et la distribution • Améliorer la recherche sur la compréhension des impacts et des réponses • Accès accru à l’eau potable et à l’assainissement de base dans les zones rurales, ce qui entraîne une diminution du paludisme et d’autres maladies à transmission vectorielle • Appliquer le concept des îles saines Glissements de terrain/éboulement • Identifier les risques de glissements de terrain à l aide de la technologie (SIG, LiDAR et autres) • Améliorations des conceptions d ingénierie • Mettre en œuvre des évaluations des géo-dangers • Assistance conseil à l ingénierie de conception de projets routiers et d infrastructures en utilisant les directives climatiques des partenaires de développement • Améliorations du drainage des eaux pluviales • Reboisement et stabilisation des sols Déchets • Promouvoir la gestion des déchets solides et chimiques au niveau national • Planification de la gestion des déchets municipaux • Planification de la gestion des déchets spéciaux (plastiques, déchets électroniques, encombrants, mines, etc.) | [
0,
0
] | [
"Revised First NDC"
] | [
"Assistance conseil à l'ingénierie de conception de projets routiers et d'infrastructures en utilisant les directives climatiques des partenaires de développement"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.999922514
} | [
0,
2
] | AUT | Austria | [
2,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 24, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Autonomous vehicles', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Autonomous', 'mode_private_cars': nan, 'category': 'Digital solutions', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 24, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': 'x', 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'EV charging infrastructure', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Emobilitycharging', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | • An increased focus in the ‘Horizon Europe’ research framework programme on innovation in the field of low-emission and climate-change-resilient technologies. • The EU-wide expansion of the charging infrastructure for electromobility (including through the EFSI successor InvestEU). • Promotion of the development of hydrogen-based fuel cell technology (e.g. through corresponding | • An increased focus in the ‘Horizon Europe’ research framework programme on innovation in the field of low-emission and climate-change-resilient technologies. • The EU-wide expansion of the charging infrastructure for electromobility (including through the EFSI successor InvestEU). • Promotion of the development of hydrogen-based fuel cell technology (e.g. through corresponding Horizon Europe and InvestEU funding windows). • Promotion of the automation and networking of sustainable mobility through the Digital Europe programme. | [
0,
0
] | [
"LTS"
] | [
"Promotion of the automation and networking of sustainable mobility through the Digital Europe programme",
"The EU-wide expansion of the charging infrastructure for electromobility (including through the EFSI successor InvestEU)."
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999346733
} | [
0,
1
] | GBR | United Kingdom | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 156, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 'G7', 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Financial instruments to support decarbonisation', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'A_Finance', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | • As we have stated in the Ten Point Plan and the Transport Decarbonisation Plan, we need to ensure that the taxation of motoring keeps pace with the change to electric vehicles to ensure that we can continue to fund the first-class public services and infrastructure that people and families | • As we have stated in the Ten Point Plan and the Transport Decarbonisation Plan, we need to ensure that the taxation of motoring keeps pace with the change to electric vehicles to ensure that we can continue to fund the first-class public services and infrastructure that people and families across the UK expect. Net Zero Strategy: Build Back Greener Zero emission vehicles (ZEVs) The transition to zero emission cars and vans is leading the way in our effort to decarbonise transport. | [
0,
0
] | [
"LTS"
] | [
"we need to ensure that the taxation of motoring keeps pace with the change to electric vehicles t"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999365807
} | [
0,
1
] | AUT | Austria | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 47, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Freight', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Freight transport shifting to rail of inland waterways', 'mode_water': nan, 'mode_truck': 'x', 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'S_Railfreight', 'mode_private_cars': nan, 'category': 'Freight efficiency improvements', 'mode_rail': 'x', 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | • Attractive high-speed rail connections should be built between the capitals and major centres of the European Union in addition to expanding and securing regional rail connections. • As a top priority, all Member States are urged to improve the framework for a modal shift in freight and passenger traffic | • Attractive high-speed rail connections should be built between the capitals and major centres of the European Union in addition to expanding and securing regional rail connections. • As a top priority, all Member States are urged to improve the framework for a modal shift in freight and passenger traffic from the road to the electrified rail. | [
0,
0
] | [
"LTS"
] | [
"shift in freight traffic to rail and expansion of combined transport."
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999337196
} | [
0,
2
] | CHE | Switzerland | [
2,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 21, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Biofuels', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'I_Biofuel', 'mode_private_cars': nan, 'category': 'Alternative fuels', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 21, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Fuel tax', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'A_Fueltax', 'mode_private_cars': nan, 'category': 'Economic instruments', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | • Biogenic fuels can replace gasoline and diesel, thus reducing CO2 emissions from transport. Mineral oil tax relief will continue to be granted on biogenic fuels until the end of 2023 provided environmen- tal and social requirements are met. Their use will subsequently be supported by fuel importers subject to | • Biogenic fuels can replace gasoline and diesel, thus reducing CO2 emissions from transport. Mineral oil tax relief will continue to be granted on biogenic fuels until the end of 2023 provided environmen- tal and social requirements are met. Their use will subsequently be supported by fuel importers subject to compensation obligations. The CO2 compensation obligation has resulted in a sharp in- crease in the share of biogenic fuels over recent years. | [
0,
0
] | [
"LTS"
] | [
"Biogenic fuels can replace gasoline and diesel, thus reducing CO2 emissions from transport.",
"Mineral oil tax relief will continue to be granted on biogenic fuels until the end of 2023 provided environmental and social requirements are met."
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999285936
} | [
0,
1
] | GBR | United Kingdom | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 152, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 'G7', 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General transport demand management', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'OECD', 'mode_two-/three-wheelers': 'x', 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Europe', 'parameter': 'A_TDM', 'mode_private_cars': nan, 'category': 'Transport demand management', 'mode_rail': nan, 'annex_type': 'Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | • Build a globally competitive zero emission vehicle supply chain and ensure our automotive sector is at the forefront of the transition to net zero. • Lead by example with 25% of the government car fleet ultra low emission by December 2022 and all the government car and van fleet | • Build a globally competitive zero emission vehicle supply chain and ensure our automotive sector is at the forefront of the transition to net zero. • Lead by example with 25% of the government car fleet ultra low emission by December 2022 and all the government car and van fleet zero emission by 2027. • Take action to increase average road vehicle occupancy by 2030 and reduce the barriers to data sharing across the transport sector. | [
0,
0
] | [
"LTS"
] | [
"Take action to increase average road vehicle occupancy by 2030 "
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999190569
} | [
0,
1
] | SYC | Seychelles | [
0,
1
] | [
[
"{'IkiSheet': 'investment', 'page_number': 36, 'region': 'Africa', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | • Building early warning systems that enable early action to reduce impacts of climate hazards on health and wellbeing • Ensuring that climate-related vulnerability assessments and actions take into account sexual and reproductive health and gender-based violence risks and protective measures and are informed by disaggregated population data. • Ensuring | • Building early warning systems that enable early action to reduce impacts of climate hazards on health and wellbeing • Ensuring that climate-related vulnerability assessments and actions take into account sexual and reproductive health and gender-based violence risks and protective measures and are informed by disaggregated population data. • Ensuring that adaptation measures anticipate and meet the health and gender needs of those impacted, displaced and at risk of climate crises, including through humanitarian response and strengthening assistance/social protection programmes for women and vulnerable groups who have lost their livelihoods to climate-related disasters 7.3 Cost of implementation Mitigation Sectors Main action Cost / million USD Energy Energy Strategy 37.4MW solar PV for meeting demand of electric vehicles 30% of private vehicles are electric by 2030 Actions in RAC sector Transport Develop electrical charging stations infrastructure Waste management Gas management and rehabilitation works The costs for the implementation of key climate change adaptation actions are based on a mixture of costs derived from national sectoral strategies that have actions that contribute to addressing climate change impacts, as well as costs from on-going initiatives, and costs from projects with similar objectives funded by the Green Climate Funds. | [
0,
0
] | [
"Revised First NDC"
] | [
"Develop electrical charging stations infrastructure: USD 0.72 million"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999309778
} | [
0,
2
] | GBR | United Kingdom | [
0,
2
] | [
[
"{'IkiSheet': 'investment', 'page_number': 152, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
],
[
"{'IkiSheet': 'investment', 'page_number': 160, 'region': 'Europe', 'parameter': 'M_Project', 'income_group': 'High-income', 'annex_type': 'Annex I'}"
]
] | [
"IKITracs"
] | [
0,
2
] | • Building on the £1.9 billion from Spending Review 2020, the Government has committed an additional £620 million to support the transition to electric vehicles. The funding will support the rollout of charging infrastructure, with a particular focus on local on-street residential charging, and targeted plug-in vehicle grants. • Build | • Building on the £1.9 billion from Spending Review 2020, the Government has committed an additional £620 million to support the transition to electric vehicles. The funding will support the rollout of charging infrastructure, with a particular focus on local on-street residential charging, and targeted plug-in vehicle grants. • Build a globally competitive zero emission vehicle supply chain and ensure our automotive sector is at the forefront of the transition to net zero. | [
0,
0
] | [
"LTS"
] | [
"Building on the £1.9 billion from Spending Review 2020, the Government has committed an additional £620 million to support the transition to electric vehicles. The funding will support the rollout of charging infrastructure, with a particular focus on local on-street residential charging, and targeted plug-in vehicle grants",
"The Government has committed an additional £620 million of funding to support the transition to electric vehicles"
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9998472929
} | [
0,
1
] | THA | Thailand | [
0,
1
] | [
[
"{'IkiSheet': 'implementation', 'page_number': 46, 'region': 'Asia', 'parameter': 'P_Technology', 'income_group': 'Middle-income', 'annex_type': 'Non-Annex I'}"
]
] | [
"IKITracs"
] | [
0,
1
] | • Carbon capture and storage (CCS) or carbon capture, utilization and storage (CCUS) in power plant and industries • Bio-energy with CCS • Electric Vehicle (xEV), battery and Infrastructures • Grid Modernization, smart energy management and Independent Power Supply (IPS) • Other technologies related to carbon neutrality (Hydrogen, Bio-hydrogenated diesel | • Carbon capture and storage (CCS) or carbon capture, utilization and storage (CCUS) in power plant and industries • Bio-energy with CCS • Electric Vehicle (xEV), battery and Infrastructures • Grid Modernization, smart energy management and Independent Power Supply (IPS) • Other technologies related to carbon neutrality (Hydrogen, Bio-hydrogenated diesel (BHD) Other sectors • Smart energy management in the industrial sector • Waste-to-energy technologies in the waste sector • CH4 reduction technologies in agriculture such as enteric fermentation and manure management and rice cultivation. Mechanisms and instruments • Financial instruments, incentives, mechanisms and approaches to engage the private sector in the shift to green investment. | [
0,
0
] | [
"LTS"
] | [
"Electric Vehicle (xEV), battery and Infrastructures"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999359846
} | [
0,
2
] | IDN | Indonesia | [
2,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 59, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': 'x', 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Avoid, Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General transport demand management', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'A_TDM', 'mode_private_cars': nan, 'category': 'Transport demand management', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 59, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 'G20', 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': 'x', 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Expansion of infrastructure', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Middle-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Asia', 'parameter': 'S_Infraexpansion', 'mode_private_cars': nan, 'category': 'Improve infrastructure', 'mode_rail': 'x', 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | • Choice of mode of transport is affected by cost, comfort level and social status. • Many cities are connected by inter-city trains especially in Java. Existing plan shows that 3,200 km of train tracks will be built to serve transport in Sumatra, Java, Kalimantan, and Sulawesi. b. | • Choice of mode of transport is affected by cost, comfort level and social status. • Many cities are connected by inter-city trains especially in Java. Existing plan shows that 3,200 km of train tracks will be built to serve transport in Sumatra, Java, Kalimantan, and Sulawesi. b. | [
0,
0
] | [
"LTS"
] | [
"Choice of mode of transport is affected by cost, comfort level and social status.",
"Many cities are connected by inter-city trains especially in Java. Existing plan shows that 3,200 km of train tracks will be built to serve transport in Sumatra, Java, Kalimantan, and Sulawesi."
] | [
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999319315
} | [
0,
2
] | LBR | Liberia | [
2,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 12, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'Ecodriving', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Ecodriving', 'mode_private_cars': nan, 'category': 'Education and behavioral change', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}",
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 12, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Transport system improvements', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Avoid, Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': 'x', 'indicator': 'Campaigns', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Campaigns', 'mode_private_cars': nan, 'category': 'Education and behavioral change', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
2
] | • Consumer information campaigns through heightened driver awareness about better ways of driving cars through eco-driving, speed reduction and use of well-adjusted motors, electric and Compressed Natural Gas vehicles and promotion of public transport through the use of bus transport network and car sharing; (Linked to Health sector). • Promote | • Consumer information campaigns through heightened driver awareness about better ways of driving cars through eco-driving, speed reduction and use of well-adjusted motors, electric and Compressed Natural Gas vehicles and promotion of public transport through the use of bus transport network and car sharing; (Linked to Health sector). • Promote diesel particulate filters for road and off-road vehicles. • Continuation of road upgrading and construction. | [
0,
0
] | [
"Revised First NDC"
] | [
"Consumer information campaigns through heightened driver awareness about better ways of driving cars through eco-driving, speed reduction and use of well-adjusted motors, electric and Compressed Natural Gas vehicles and promotion of public transport through the use of bus transport network and car sharing; (Linked to Health sector)"
] | [
[
null,
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999166727
} | [
0,
1
] | MOZ | Mozambique | [
1,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 77, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': nan, 'high_level_category': 'Low-carbon fuels and energy vectors', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': 'x', 'activity_type': 'E_Passenger', 'a_s_i': 'Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Inspection and maintenance', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'Low-income', 'mode_bus': 'x', 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Inspection', 'mode_private_cars': nan, 'category': 'Vehicle improvements', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
1
] | • Conversion of 1000 cars to NG Repair of 150 NG buses for public transport Urban areas, in districts - nationwide Mozambique, in areas isolated from the national electricity grid (SIE) Areas isolated from the grid (SIE) or mixed (SILE/SIE) Residences in areas isolated from the national electricity grid (SIE). | • Conversion of 1000 cars to NG Repair of 150 NG buses for public transport Urban areas, in districts - nationwide Mozambique, in areas isolated from the national electricity grid (SIE) Areas isolated from the grid (SIE) or mixed (SILE/SIE) Residences in areas isolated from the national electricity grid (SIE). | [
0,
0
] | [
"Revised First NDC"
] | [
"Repair of 150 NG buses for public transport"
] | [
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999321699
} | [
0,
3
] | SYC | Seychelles | [
3,
0
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 24, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': 'x', 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Cycling measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'S_Cycling', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 24, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Electrification', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Passenger, E_Freight', 'a_s_i': 'Shift, Improve', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'General e-mobility', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': 'x', 'mode_transit_rail': 'x', 'geo_rural': nan, 'region': 'Africa', 'parameter': 'I_Emobility', 'mode_private_cars': nan, 'category': 'Electric mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
],
[
"{'mode_taxis': nan, 'IkiSheet': 'mitigation', 'page_number': 24, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'high_level_category': 'Mode shift and demand management', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': 'x', 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'a_s_i': 'Shift', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Walking measures', 'mode_water': nan, 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'S_Walking', 'mode_private_cars': nan, 'category': 'Active mobility', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
0,
3
] | • Create secure and attractive urban cycling and walking pathways and routes • Reduce GHG emissions in domestic maritime transport. • Electrify the vehicles fleet with a priority for public transportation, collective, high-passenger load, duty and commercial vehicles over private, individual, low-passenger load vehicles, to make mobility shift socially inclusive | • Create secure and attractive urban cycling and walking pathways and routes • Reduce GHG emissions in domestic maritime transport. • Electrify the vehicles fleet with a priority for public transportation, collective, high-passenger load, duty and commercial vehicles over private, individual, low-passenger load vehicles, to make mobility shift socially inclusive and create public adherence and local jobs. | [
0,
0
] | [
"Revised First NDC"
] | [
"Create secure and attractive urban cycling",
"Electrify the vehicles fleet with a priority for public transportation, collective, high-passenger load, duty and commercial vehicles over private, individual, low-passenger load vehicles, to make mobility shift socially inclusive and create public adherence and local jobs. \nBy 2030, 30% of large tourism businesses (DMCs, taxis, etc) must have electric transport in their fleet. \nBy 2030, small and medium tourism businesses (omnibuses, taxis) must have 20% electric transport.",
"walking pathways and routes"
] | [
[
null
],
[
null
],
[
null
]
] |
[
0,
0
] | {
"label": "en-US",
"score": 0.9999390841
} | [
0,
1
] | SYC | Seychelles | [
0,
1
] | [
[
"{'mode_taxis': nan, 'IkiSheet': 'adaptation', 'page_number': 30, 'mode_inland_shipping': nan, 'mode_coastal_shipping': nan, 'g20': 0, 'mode_cycling': nan, 'mode_road': nan, 'geo_not_defined': 'x', 'g7': 0, 'geo_inter-city': nan, 'mena': 0, 'mode_heavy_rail': nan, 'mode_walking': nan, 'mode_international_maritime': nan, 'mode_not_defined': nan, 'mode_aviation': nan, 'geo_urban': nan, 'activity_type': 'E_Notdefined', 'mode_high-speed_rail': nan, 'mode_cars': nan, 'indicator': 'Transport System Adaptation', 'mode_water': 'x', 'mode_truck': nan, 'oecd': 'non-OECD', 'mode_two-/three-wheelers': nan, 'income_group': 'High-income', 'mode_bus': nan, 'mode_transit_rail': nan, 'geo_rural': nan, 'region': 'Africa', 'parameter': 'R_System', 'mode_private_cars': nan, 'category': 'Structural and Technical', 'mode_rail': nan, 'annex_type': 'Non-Annex I', 'mode_active_mobility': nan}"
]
] | [
"IKITracs"
] | [
1,
0
] | • Develop a Port Development Master Plan, which caters for growth and integrate climate change considerations. • Improve communication on waste management (repairing, reducing and recycling waste) as well as providing incentives to encourage a circular economy approach for Seychelles. • Improve management of freshwater resources and implement new strategies | • Develop a Port Development Master Plan, which caters for growth and integrate climate change considerations. • Improve communication on waste management (repairing, reducing and recycling waste) as well as providing incentives to encourage a circular economy approach for Seychelles. • Improve management of freshwater resources and implement new strategies to reuse water27 and implement the existing Water Resource Management Strategies as part of the Seychelles Water Supply Development Plan. | [
0,
0
] | [
"Revised First NDC"
] | [
"Develop a Port Development Master Plan, which caters for growth and integrate climate change considerations."
] | [
[
null
]
] |