{'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': 'OECD', 'income_group': 'High-income', 'g7': 0, 'mena': 0, 'region': 'Asia', 'parameter': 'T_Economy_Unc', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 651.87023676046, 'ghg_transport_target_type': nan, 'g20': 'G20', 'target_scope': nan, 'ghg_transport': 96.0538022935}
Baseline Year BAU The scenario is based on the BAU projection of KEEI-EGMS (the Korea Energy Economics Institute Energy and GHG Modeling System), taking into account projections for key economic variables, including population, GDP, industrial structure and oil price. Reduction Level Emission reduction by 37% from the BAU level by
Baseline  Year BAU  The scenario is based on the BAU projection of KEEI-EGMS (the Korea Energy Economics Institute Energy and GHG Modeling System), taking into account projections for key economic variables, including population, GDP, industrial structure and oil price.  Reduction Level Emission reduction by 37% from the BAU level by 2030 Coverage Economy-wide Sectors Energy, industrial processes and product use, agriculture and waste (A decision on whether to include land use, land-use change and forestry (LULUCF) will be made at a later stage.)
37% below 2030 BAU