{'annex_type': 'Non-Annex I', 'IkiSheet': 'targets', 'page_number': 26, 'renewable_energy_target': nan, 'transport_target_type': nan, 'target_year': 2030, 'country_netzero target_exists': nan, 'country_summary_transport_targets': 'Transport GHG targets', 'target_type': 'T_BAU', 'oecd': 'non-OECD', 'income_group': 'Middle-income', 'g7': 0, 'mena': 0, 'region': 'Asia', 'parameter': 'T_Economy_C', 'ice_phaseout': nan, 'country_long-term_target_exists': nan, 'ghg_total': 110.163867828577, 'ghg_transport_target_type': nan, 'g20': 0, 'target_scope': nan, 'ghg_transport': 12.0119672}
(d) Target relative to the reference indicator, expressed numerically, for example in percentage or amount of reduction: In unconditional scenario, GHG emissions would be reduced by 27.56 Mt CO2e (6.73%) below BAU in 2030 and in conditional scenario, GHG emissions would be reduced by 89.47 Mt CO2e (21.85%) below BAU
(d) Target relative to the reference indicator, expressed numerically, for example in percentage or amount of reduction: In unconditional scenario, GHG emissions would be reduced by 27.56 Mt CO2e (6.73%) below BAU in 2030 and in conditional scenario, GHG emissions would be reduced by 89.47 Mt CO2e (21.85%) below BAU in 2030 in the respective sectors. (e) Information on sources of data used in quantifying the reference point(s):  The Base Year information is mainly from the GHG inventory prepared in Third National Communications.
GHG emissions would be reduced by 89.47 Mt CO2e (21.85%) below BAU in 2030