Intended Nationally Determined Contributions (INDCs)

This page provides a brief overview of the mitigation component of the Intended Nationally Determined Contributions (INDCs) that countries submitted in preparation or after the U.N. Framework Convention on Climate Change (UNFCCC) Conference of the Parties (COP21) in Paris.

Please send comments or corrections to primap-live@pik-potsdam.de. Last update: 3rd Aug 2016.

Share of global emissions by INDC target type:
~41%
~16%
~33%
~7%

Abbreviations
  • AFOLU: Agriculture, Forestry and Other Land-Use
  • CCS: Carbon Capture and Storage
  • EE: Energy Efficiencyd
  • LULUCF: Land-Use, Land-Use Change and Forestry
  • MRV: Monitoring, Reporting and Verification
  • NAMA: Nationally Appropriate Mitigation Actions
  • RE: Renewable Energy

Party
Target Type
Emissions share
Reference year(s)
Target year(s)
Reduction target(s)
Target emissions [MtCO2eq]
Long term target
GHG coverage
Sectors covered
IPCC Guidelines
GWP
Australia Base year 1.2% 2005 2030 26-28% - - All 100%: energy, IPPU, agriculture, LULUCF, waste 2006 AR4
Azerbaijan Base year 0.1% 1990 2030 0.35 - - CO2, CH4, N2O, HFC, CF4 Energy, agriculture, waste, LULUCF 1996 Not specified
Belarus Base year 0.2% 1990 2030 0.28 100.0 (from graph) - All except NF3 Power industry, industrial processes, solvents use, agriculture, waste 1996 (1997) and 2000 good practice guidelines SAR
Botswana Base year 0.0% 2010 2030 0.15 - - CO2, CH4, N2O Energy, waste and agriculture. Reductions only in energy. Not specified Not specified
Brazil Base year 2.2% 2005 2025
2030
37% by 2025;
43% by 2030 (indicative)
1200.0 - All except NF3 ~100% Not specified AR5
Canada Base year 1.6% 2005 2030 30% (graph suggests this reduction is applied to baseyear emissions excluding LULUCF) 515.0 (from graph) - All 100% 2006 AR4
Dominica Base year 0.0% 2014 2030 44.7% by 2030 (conditional)
(17.9% by 2020, 39.2% by 2025)
0.1 (from graph) - CO2, CH4, N2O, HFC Energy transport, manufacturing and construction, agriculture, solid waste, forestry 2006 SAR
Equatorial Guinea Base year 0.0% 2010 2030 (and 2050) 20% by 2030 (50% by 2050) - Yes: 50% reduction by 2050 vs. 2010 CO2, CH4, N2O Energy, transport, LULUCF, industrial, waste Not specified Not specified
European Union (28) Base year 10.5% 1990 2030 0.4 - Yes: in line with 80-95% target All 100% 2006 and IPCC 2013 KP Supplement AR4
Grenada Base year 0.0% 2010 2030 2025: 30% below 2010 levels;
2030: 40% below 2010 levels (indicative target)
0.1 (from graph) - CO2, CH4 (Other gases considered negligible) 100%: electricity, transport, waste, forestry Not specified AR4
Iceland Base year 0.0% 1990 2030 0.4 - - All All main sectors 2006 and IPCC 2013 KP Supplement Not specified
Japan Base year 2.7% 2013 2030 26% (25.4% reduction vs. Financial Year 2005) - - All 100% Not specified AR4
Kazakhstan Base year 0.6% 1990 2030 15% unconditional;
25% conditional
- - All except NF3 100% 2006 and 2013 KP guidance + wetland supplement AR4
Liechtenstein Base year 0.0% 1990 2030 0.4 - - All 100% 1996, and GPG 2000 and IPCC 2003 Not specified
Micronesia (federated states of) Base year 0.0% 2000 2025 28% (unconditional)
35% (conditional)
0.1 nan CO2 Energy (electricity generation and transport subsectors) (80% of total emissions in 2000) 1996 AR4
Republic of Moldova Base year 0.0% 1990 2030 64-67% (unconditional) or 78% (conditional) - - All 100% 2006 AR4
Monaco Base year 0.0% 1990 and 1995 2030 0.5 0.1 (from graph) Yes: 80% reduction by 2050 (set in 2014) All 100% 2006 AR4
Montenegro Base year 0.0% 1990 2030 0.3 3.7 - All 100% (except LULUCF) 2006 SAR
New Zealand Base year 0.2% 2005 2030 0.3 - Yes: 50% 1990 levels by 2050 All 100% 2006 AR4
Norway Base year 0.1% 1990 2030 0.4 - Yes: carbon-neutral All Energy, IPPU, agriculture, LULUCF, waste 2006 AR4
Marshall Islands Base year 0.0% 2010 2025, 2030 32% by 2025 (commitment), 45% by 2030 (intended) 0.1 (from graph) Yes: net zero GHG emissions by 2050 CO2, CH4, N2O 100% 1996 Not specified
Russian Federation Base year 5.0% 1990 2030 25-30% - - All 100% 2006 AR4
San Marino Base year 0.0% 2005 2030 0.2 - - All Energy, IPPU, agriculture, LULUCF, waste 1996, 2006, 2013 KP supplement SAR
Serbia Base year 0.2% 1990 2030 0.098 - - Ex. NF3  100% 2006 AR4
Switzerland Base year 0.1% 1990 2030 50% (35% for 2025) - Yes: 70-85% by 2050 All Energy, IPPU, agriculture, LULUCF, waste 2006 AR4
Tajikistan Base year 0.0% 1990 2030 10-20% (unconditional);
25-35% (conditional)
- - CO2, CH4, N2O Power industry and water resources, industry and construction, AFOLU, transport and infrastructure 2006 (and 2003 good practice guidance) AR4
Ukraine Base year 0.9% 1990 2030 40% (no more than 60% of 1990 value) - - All 100%: energy, industry, AFOLU, waste 2006 and 2013 KP guidance + wetland supplement AR4
United States of America Base year 15.2% 2005 2025 26-28% - Yes: target is consistent with a pathway to economy-wide emission reductions of 80% or more by 2050 All  100% Not specified AR4
Afghanistan BAU scenario 0.1% 2005 2030 13.6% below BAU by 2030 (conditional) 42.7 - CO2, CH4, N2O Energy, natural resource management, agriculture, waste, mining Not specified Not specified
Albania BAU scenario 0.0% 2016 2030 11.5% below BAU - Yes: 2 t/cap by 2050 CO2 Energy and industrial processes 2006 SAR
Algeria BAU scenario 0.4% - 2030 7% below BAU (unconditional); 22% below BAU (conditional) - - CO2, CH4, N2O Energy, industry, agriculture, LULUCF, waste 2006 AR4
Andorra BAU scenario 0.0% 2011? 2030 37% below BAU in the energy and waste sectors 0.3368 - C02, CH4, N20, SF6 Energy and waste cover 98.5% of emissions (in 2011) (elsewhere in the INDC it is stated that forests remaining as forests accounts fo 19.2% of the GHG inventory ) 2006 AR4
Angola BAU scenario 0.2% 2005 2030 35% below BAU (unconditional); 50% below BAU (conditional) 96.625 - CO2, CH4, N2O All economic sectors 1996 AR4
Argentina BAU scenario 0.7% 2005 2030 15% below BAU (unconditional); 30% below BAU (conditional) 470 (from graph) - All except NF3 Energy, agriculture, waste, IPPU, LULUCF 1996 SAR
Bangladesh BAU scenario 0.3% - 2030 5% below BAU in power, transport and industry sectors, or 12Mt (unconditional); 15% below BAU in these sectors, or 36Mt (conditional) 198 - All except NF3 Power, transport and industry sectors are projected to be 69% of emissions in 2030 (excluding LULUCF) (other sectors are included as action-based conditional contributions) 1996 SAR
Barbados BAU scenario 0.0% 2008 2030 44% below BAU by 2030 (equivalent of 23% below 2008 levels) 37% below BAU by 2025 (equivalent to 21% below 2008 levels) (international support will be needed) - - CO2, CH4, N2O, HFCs, SF6 "Economy wide". Reductions will be made in energy and waste sectors (88% of emissions in 2008) 2006 Not specified
Benin BAU scenario 0.0% 2020 2030 3.5% below BAU (excluding LULUCF) (unconditional); 21.4% below BAU (conditional). LULUCF sector: increase in sequestration: 1.4% (12.9Mt) (unconditional) or 5.7% (32Mt) (conditional) Reduction in deforestation: 110Mt cumulative saving (22Mt of which is unconditional, 88Mt of which is conditional). 17.7 (from graph) - CO2, CH4, N2O Energy, agriculture and LULUCF 1996 (and 2000 recommendations on good practice) SAR
Bosnia and Herzegovina BAU scenario 0.1% 1990 2030 2% below BAU (unconditional) - equivalent to 18% above 1990; 23% beow BAU (conditional) - equivalent to 3% below 1990 - - CO2, CH4, N2O All (LULUCF only includes sinks in the list of sectors, but baseline and projections do not include sinks) 1996, 2003 GPG, 2000 uncertainty guidelines Not specified
Burkina Faso BAU scenario 0.1% - 2030 6.6% below BAU (unconditional); 11.6% below BAU (conditional). Total: 18.2% reduction, or 21.574Mt) 96.749 - CO2, CH4, N2O All? Not specified Not specified
Burundi BAU scenario 0.0% 2005 2030 3% below BAU (unconditional); 20% below BAU (conditional) 60.7 (from graph) - CO2, CH4, N2O ~All? (energy, agriculture, LULUCF) Not specified SAR
Cambodia BAU scenario 0.1% - 2030 3.1Mt below BAU (27% below BAU) (conditional). Emissions reductions in LULUCF of 4.7t/ha/yr. - - CO2, CH4, N2O Energy, manufacturing, transport, 'and other sectors'. LULUCF treated separately. Agriculture is included in the adaptation section, but does not seem to be included in the mitigation section. 1996 SAR
Cameroon BAU scenario 0.1% 2010 2035 32% below BAU (conditional) 71 - CO2, CH4, N2O Energy, agriculture, and waste (LULUCF will be included after further analysis) Not specified AR4
Central African Republic BAU scenario 0.1% 2010 2030 5% below BAU by 2030 (25% by 2050) 129 (from graph) Yes - 25% below BAU CO2, CH4, N2O (also SLCP) >75% of anthropogenic emissions 1996 and 2006 (tier 1 methods) Not specified
Chad BAU scenario 0.1% 2010 2030 18.2% below BAU (unconditional); 71% below BAU (conditional) 8.229 - CO2, CH4, N2O Energy, agriculture, LULUCF, waste 2006 AR4
Colombia BAU scenario 0.4% - 2030 20% below BAU by 2030 (unconditional); 30% below BAU by 2030 (conditional) - - All except NF3 100% 2006 SAR
Comoros BAU scenario 0.0% - 2030 84% below BAU (conditional) - corresponds to 0.4417 Mt 0.0814 - CO2, CH4, N2O (fluoride gases are a very small proportion of emissions) Energy, agriculture, waste, LULUCF (with focus on energy, agriculture, LULUCF for mitigation measures) 2006 SAR
Republic of the Congo BAU scenario 0.0% 2000 2025 and 2035 At least 48% below BAU by 2025 and 54% by 2035 (conditional) 15.9 - CO2, CH4, N2O (HFC, PFC, SF6 and NF3 will be covered subsequently) Energy, industry, mining, agriculture and LULUCF (excluding natural stocks) 2006 and 2013 supplementary methods SAR
Costa Rica BAU scenario 0.0% - 2030 44% below BAU (also 25% below 2012 levels, or a reduction of 0.1705Mt per year until 2030). Other targets: Carbon emissions to peak by 2021, and maximum net emissions of 9.374Mt by 2030, with proposed emissions per capita of 1.73t/cap by 2030, 1.19 t/cap in 2050 and -0.27 t/cap by 2100. 9.374 Yes: 1.19 net tons per capita by 2050 CO2, CH4, N2O, HFCs, SF6 100% of emissions accounted for in the National GHG inventory Not specified Not specified
Cote d'Ivoire BAU scenario 0.0% 2012 2030 28% below BAU (unconditional); 24.576 - CO2, CH4, N2O (Also plan on short lived climate pollutants). Energy, industry, agriculture, waste (LULUCF covered by sectorial measures) Not specified SAR
Democratic Republic of the Congo BAU scenario 0.1% 2000 2030 17% below BAU (conditional) for agriculture, LULUCF and energy sectors 357 (from graph) - CO2, CH4, N2O Energy, agriculture and LULUCF sectors 1996 and 2006 Not specified
Djibouti BAU scenario 0.0% 2000 2030 40% below BAU(unconditional); 60% below BAU (conditional) – equivalent to 2010 emissions 1.79 - CO2, CH4, N2O Energy, agriculture, solid waste, industrial processes 1996 SAR
Ecuador BAU scenario 0.1% - 2025 20.4-25% below BAU in the energy sector (unconditional); 37.5-45.8% below BAU in the energy sector (conditional) - - CO2, CH4, N2O (also CO, NOx, SO2, particulates) Energy sector: residential, transport, electricity generation in the oil sector and electric generation of the National Interconncted System. Not specified AR5
Eritrea BAU scenario 0.0% 2010 2030 39.2% below BAU (23.1% in 2020 and 30.2% in 2025) (unconditional); 80.6% (36.4% in 2020 and 61.1% by 2025) (conditional) . 0.6 - CO2, CH4, N2O Energy, transport, industry, waste, forestry and agriculture 2006 for CH4 and N2O. Not specified
Ethiopia BAU scenario 0.3% - 2030 64% below BAU (full implementation subject to international finance, but the amount that is unconditional is not yet known) (calculations show that this 64% only applies to emissions including LULUCF) 185 - C02, CH4, N20 Agriculture, transport, industry, buildings, power 2006 AR4
Gabon BAU scenario 0.0% 2000 2025 50% below BAU - - C02, CH4, N20 All except natural biomass stocks Not specified Not specified
Georgia BAU scenario 0.0% 2013 2030 15% below BAU (equivalent to energy intensity 35% below 2013 levels) (unconditional). 25% (equivalent to energy intensity 43% below 2013 levels) (conditional). Separate targets for the LULUCF sector include: CO2 reduction by 70% from 2020-2030 in a pilot area, afforestation / reforestation on 1,500ha, assist natural regeneration of forests on 7,500ha (unconditional); afforest/reforest 35,000ha, develop forest inventories and remote sensing to support sustainable forest management, and expand protected areas to ~1.3 million ha (conditional). 28.31 - All except NF3 100% (All sectors except LULUCF, which has separate targets) 1996, 2006 and good practice guidance and uncertainty management SAR
Ghana BAU scenario 0.0% 2010 2030 15% below BAU by 2030 (12% by 2025) (unconditional); 45% below BAU by 2030 (27% by 2025) (conditional) 40.67 (from graph) - CO2, CH4, N2O, and HFC-22 and HFC-410 from stationary air-conditioners 100% 2006 SAR
Guatemala BAU scenario 0.1% 2005 2030 11.2% below BAU (unconditional); 22.6% below BAU (conditional) 41.66 - CO2, CH4, N2O Energy, LULUCF (not including removals), agriculture, industrial processes, waste 1996 SAR
Haiti BAU scenario 0.0% 2000 2030 5% below BAU (unconditional); 31% below BAU (conditional) - - CO2, CH4, N2O Energy, AFOLU, waste 1996 SAR
Honduras BAU scenario 0.0% - 2030 15% below BAU (conditional) - - CO2, CH4, N2O Energy, IPPU, agriculture, waste 1996 SAR
Indonesia BAU scenario 1.8% 2010 2030 29% below BAU (unconditional); 41% (conditional) - - CO2, CH4, N2O ~100% (energy (inc transport), industry, agriculture, LULUCF, waste) 2006 and guidelines for LULUCF AR4
Iraq BAU scenario 0.3% 2010? (from graph) 2035? 13% below BAU by 2035 (unconditional); 15% below BAU (conditional) (source: WRI CAIT climate data explorer) - - CO2, CH4, N2O Energy, agriculture, industry, waste (all except LULUCF) 1996 Not specified
Iran (Islamic republic of) BAU scenario 1.6% 2010 2030 1% below BAU (unconditional), 14% below BAU (conditional) - - CO2, CH4, N2O, NF3, HFCs, PFCs, SF6 Energy (>90% of emissions), waste, IPPU, agriculture, LULUCF? 2006 Not specified
Jamaica BAU scenario 0.0% 2005 2030 7.8% below BAU, or -1.1Mt (unconditional) 10% below BAU (conditional) 13.043 - CO2, CH4, N2O, Nox, CO, NMVOCs, SO2 Energy 2006 Not specified
Jordan BAU scenario 0.1% 2006 2030 1.5% below BAU (unconditional); 14% (conditional) - - CO2, CH4, N2O, SF6, PFCs, HFCs Energy, waste, industrial processes, agriculture, solvents. 1996, IPCC 2000, IPCC 2003 Not specified
Kenya BAU scenario 0.2% - 2030 30% below BAU (conditional) - - C02, CH4, N20 Energy, transport, industrial processes, AFOLU, waste 1996 SAR
Kiribati BAU scenario 0.0% 2000 (projection is a line of best fit to 2030, based on fossil fuel data for 2000-2014. It will be revised to include more accurate info from the 3rd NC. 2025 and 2030 13.7% below BAU by 2025; 12.8% by 2030 (unconditional); additional 48.8% by 2025; 49% by 2030 (conditional), totalling up to 61.8% by 2030 with international assistance. - - CO2 (>99% of inventory) 98% (fossil fuels) Not specified Not specified
Kyrgyzstan BAU scenario 0.0% 2010 2030 and 2050 By 2030: 11.49-13.75% below BAU (unconditional); 29-30.89% (conditional); by 2050: 12.67-15.69% (unconditional); 35.06-36.75% (conditional) - Yes: 1.58 tCO2 per capita in 2050 All (but GWPs only given for CO2, CH4, N2O and HFC-134a - others 'not relevant') Energy, industry, agriculture, LULUCF, waste 1996 SAR
Lebanon BAU scenario 0.0% 2011 2030 15% below BAU (conditional); 30% below BAU (unconditional) 30.4 (from graph) - CO2, CH4, N2O (othres play a limited role and have not been properly assessed - fluorinated gases will be included in an updated INDC) Energy, IPPU, agriculture, LULUCF, waste 1996 and good practice guidance for uncertainty management and LULUCF. Not specified
Lesotho BAU scenario 0.0% - 2030 10% below BAU (unconditional); 35% below BAU (conditional). (Note that the INDC focuses more on actions in relevant sectors than on this target) - - CO2, CH4, N2O (others are negligible but wil be monitored and reported). Energy, agriculture and waste Not specified Not specified
Liberia BAU scenario 0.0% - 2030 15% below BAU (conditional upon international support) 4.505 Yes: carbon neutrality by 2050 CO2, CH4, N2O Energy, transport, waste 1996, 2000 uncertainty guidelines Not specified
Madagascar BAU scenario 0.1% 2000-2010 2030 14% below BAU, or 30Mt. This is in addition to the absorption increase in the LULUCF sector (60.7Mt in 2030). Total increase in GHG absorption is 32% (conditional) - - CO2, CH4, N2O 99.9% (energy, agriculture, LULUCF, waste) 1996 (plus 2000 and 2003 IPCC Good Practice Guidance) SAR
Maldives BAU scenario 0.0% - 2030 10% below BAU (unconditional); 24% below BAU (conditional) 2.51 - CO2, CH4 (others are negligible) Energy, transport, waste 1996 Not specified
Mali BAU scenario 0.1% 2015 (start of BAU) (reference period is 2007-2014) 2030 Average 27% reduction in emissions (31% reduction in energy, 29% in agriculture and 21% in LULUCF) 65.857 (from graph) - CO2, CH4, N2O Sectors: energy, agriculture, LULUCF 2006 Not specified
Mauritania BAU scenario 0.0% 2010 2030 22.3% below BAU (of which 88% is conditional and 12% unconditional, i.e. 2.7% below BAU (unconditional) and 19.6% below BAU (conditional)) - - CO2, CH4, NO2 Energy, agriculture, LULUCF, IPPU, waste 2006 Not specified
Mauritius BAU scenario 0.0% - 2030 30% below BAU - - CO2 and SLCF Energy, transport, industry, agriculture, forestry, land use and solid waste management. Not specified Not specified
Mexico BAU scenario 1.4% - 2030 22% below BAU (unconditional); 36% below BAU (conditional); emissions to decrease from 2026. Mexico have also included a reduction in Black Carbon of 51% (unconditional) to 70% (conditional) - Yes: 50% reduction from 2000 by 2050 All ex. NF3 (also including black carbon) Energy, IPPU, agriculture, waste, LULUCF Not specified AR5
Morocco BAU scenario 0.2% 2010 2030 13% below BAU (unconditional); 32% below BAU (conditional) 117 - C02, CH4, N20 Energy, industrial processes, agriculture, waste, LULUCF 1996 SAR
Namibia BAU scenario 0.0% 2010 2030 89% below BAU (conditional) - - CO2, CH4, N2O Sectors: energy, industry, AFOLU, waste 2006 SAR
Niger BAU scenario 0.1% 2000 2030 2.5% below BAU in 2020 and 3.5% in 2030 (unconditional); 25% in 2020 and 34.6% in 2030 (conditional) 63.1 - CO2, CH4, N2O 88.7% of emissions are covered by these gases. Action is focused on AFOLU (89% of total emissions) and energy (9%), but accounting covers the whole economy. Not specified Not specified
Nigeria BAU scenario 0.5% 2010-1994 2030 20% below BAU (unconditional); 45% below BAU (conditional) - - CO2, CH4, N2O Not specified, but mitigation measures are listed in the energy, agriculture and forestry sectors Not specified AR4
Oman BAU scenario 0.2% 1994 2030 2% below BAU (conditional) 88.714 - CO2, CH4, N2O, HCFCs, PFCs Energy, IPPU, waste Not specified Not specified
Paraguay BAU scenario 0.1% - 2030 10% below BAU (unconditional); 20% below BAU (conditional) - - All KP gases (all ex. NF3) All sectors in the INDC 1996 SAR
Peru BAU scenario 0.2% 2010 2030 20% below BAU (unconditional); 30% below BAU (conditional) - - CO2, CH4, N2O All sectors in the National GHG inventory 1996 and 2006, and 2003 good practice guidelines SAR
Philippines BAU scenario 0.4% 2000 2030 70% below BAU (conditional) - - Not specified Energy, transport, waste, forestry, industry 2006 Not specified
Korea (Republic of) BAU scenario 1.3% - 2030 37% below BAU - - All ex. NF3 Economy wide - energy, IPPU, agriculture, waste (LULUCF decision pending) 1996 (and 2006 for emissions from rice cultivation and other waste) SAR
Macedonia (the former Yugoslav Republic of) BAU scenario 0.0% - 2030 30-36% reduction of CO2 emissions from fossil fuels combustion compared with BAU (such emissions cover almost 80% of total GHG emissions) - - CO2 from fossil fuel combustion (almost 80% of emissions) - 2006 SAR
Saint Lucia BAU scenario 0.0% 2010 2025 and 2030 16% below BAU in 2025 23% below in 2030 - - CO2, CH4, N2O Energy, electricity, transport (the baseline also includes industrial processes, agriculture and waste) 1996 Not specified
Saint Kitts and Nevis BAU scenario 0.0% - 2030 22% by 2025 35% by 2030 (conditional) - - CO2 All sectors, but with special attention to energy and transport sectors 1996 Not specified
Saint Vincent and the Grenadines BAU scenario 0.0% 2010 2025 22% by 2025 - - CO2, CH4, N2O, HFCs 100% - energy, IPPU, agriculture, waste, LULUCF 2006 SAR
Sao Tome and Principe BAU scenario 0.0% 2005 2030 ~24% emission reduction by 2030 (conditional) - - CO2, CH3, NOx All sectors of the economy IPCC guidelines for NAI countries Not specified
Senegal BAU scenario 0.1% 2010 2030 5% below BAU in 2030 (3% in 2020 and 4% in 2025) (unconditional); 21% below BAU in 2030 (7% in 2020 and 15% in 2025) - (conditional) 29.5 - CO2 for energy and industrial processes and LULUCF; CO2, CH4 and N2O for waste and agriculture ? 2006 Not specified
Seychelles BAU scenario 0.0% 2010 (electricity and transport), 2012 (solid waste management) 2030 29% below BAU in 2030 (reduction of 0.188Mt) (21.4% below BAU in 2025) 0.724 - CO2, CH4 (all other gases insignificant) ~95% (not including LULUCF) 1996 SAR
Solomon Islands BAU scenario 0.0% 2015 2025 and 2030 12% below 2015 by 2025, 30% by 2030, compared to BAU (unconditional); 27% by 2025 and 45% by 2030 (conditional). 50% reduction by 2050, with appropriate international assistance. - Yes: more than 50% reduction by 2050, with assistance CO2 (estimated >95% of inventory) Fossil fuels (>95% of reported inventory) and forest sequestration. Not specified Not specified
Sri Lanka BAU scenario 0.1% 2010 2030 7% below BAU (4% in the energy sector and 3% in other sectors) (unconditional); 23% below BAU (16% in energy and 7% in other sectors) (conditional) - - CO2, CH4, N2O Energy, transportation, industry, waste, forestry Not specified Not specified
United Republic of Tanzania BAU scenario 0.2% - 2030 10-20% from BAU (subject to review after the first BUR) (conditional) - - Not specified Not specified. Mitigation actions are mentioned in the following sectors: energy, transport, forestry and waste management. Not specified Not specified
Thailand BAU scenario 0.9% 2005 2030 20% below BAU (unconditional); 25% below BAU (conditional) - Yes: vision to achieve climate-resilient and low-carbon growth by 2050 All except NF3 Economy-wide; inclusion of LULUCF will be decided later. Mitigation is focused on energy. Not specified AR4
Togo BAU scenario 0.0% 2010 2030 11.14% below BAU (unconditional); 31.14% below BAU (conditional) 27.627 - CO2, CH4, N2O Whole economy (main sectors: energy, agriculture, LULUCF) 1996, GPG 2000 GPG LULUCF 2003, GL 2006 SAR
Trinidad and Tobago BAU scenario 0.2% 2013 2030 (December) 30% below BAU in the public transport sector (unconditional). Conditional target: 15% GHG reduction in transport, power and industry sectors of cumulative emissions between 2013-2030. - - CO2, CH4, N2O Public transport (unconditional); transport, power generation, industry (conditional) - note these industries make up >90% of emissions (AFOLU and waste sectors are 2% and 7% respectively) 1996 Not specified
Turkey BAU scenario 0.9% - 2030 Up to 21% below BAU by 2030 (Turkey intends to use international as well as domestic funding) - - All Economy wide - energy, IPPU, agriculture, LULUCF, waste 2006 and 2013 KP supplement AR4
Vanuatu BAU scenario 0.0% BAU 2030 100% below BAU for electricity sub-sector; 30% for energy sector as a whole - - CO2, CH4, N2O Energy Revised 1996 guidelines Not specified
Venezuela, Bolivarian Republic of BAU scenario 0.6% 2011? 2030 Aim for at least 20% below BAU (conditional) 270 (from graph) - Not specified Not specified, but various sectors mentioned for mitigation and adaptation actions (inc industry, electricity, building, transportation, agriculture, water, forestry waste etc. (source: CAIT) Not specified Not specified
Viet Nam BAU scenario 0.6% 2010 2030 8% below BAU (unconditional); 25% below BAU (conditional) - - All except NF3 Industrial processes not included Not specified AR4
Yemen BAU scenario 0.1% 2015 2030 1% below BAU (unconditional); 14% below BAU (conditional) 37.67 - CO2, CH4, N2O Energy, agriculture, waste (agriculture includes 'land use for agriculture and forestry') Not specified SAR
Zambia BAU scenario 0.1% 2010 2030 25% below BAU (unconditional); 47% below BAU (conditional) 42 (from graph) - CO2, CH4, N2O Sectors: energy, agriculture, waste, LULUCF 1996 SAR
Armenia Intensity reduction 0.0% 2010 2050? Total aggregate emissions of 633Mt, or 189t/capita over 2015-2050, or annual average of 5.4t/capita over this period 2.07t/cap Yes - ecosystem neutral GHG emissions in 2050 (2.07tons/capita/year), with support. Armenia has set an emissions quota for 2015-2050 of 633MtCO2e, and will sell or bank any credits for later periods. CO2, CH4, N2O, HFCs Energy, transport, urban development, industrial processes, waste management, LULUCF Not specified SAR
Chile Intensity reduction 0.2% 2007 2030 30% reduction in GHG intensity of economy from 2007 levels by 2030 (unconditional) ; 35-45% reduction in intensity by 2030 (conditional) (not including LULUCF) 0.56-0.66t/million CLP$ - CO2, CH4, N2O, HFC, PFC All sectors in the GHG inventory are included: energy, industrial processes, solvents, agriculture, LULUCF, waste 2006 SAR
China Intensity reduction 24.6% 2005 2030 60-65% reduction in CO2 intensity; peaking emissions around 2030; increase the share of non-fossil fuels in primary energy consumption to around 20%; increase the forest stock volume by around 4.5 billion cubic meters above the 2005 level. - - C02; other gases not specified Not supplied Not specified Not specified
Dominican Republic Intensity reduction 0.1% 2010 2030 25% reduction (conditional) - - CO2, CH4, N2O Energy, IPPU, agriculture, waste, LULUCF 2006 SAR
India Intensity reduction 6.8% 2005 2030 Reduce emissions intensity of GDP by 33-35% by 2030 from 2005 level, and other targets (see 'other targets') (conditional) - - not supplied Not supplied Not specified Not specified
Israel Intensity reduction 0.2% 2005 2030 Emissions per capita in 2030 of 7.7tCO2e by 2030, or a 26% reduction below 2005 (unconditional) 81.65 - All except NF3 Energy, transport, industrial processes, buildings, waste, agriculture 1996 SAR
Malaysia Intensity reduction 0.6% 2005 2030 35% reduction in emissions intensity of GDP (unconditional); 45% reduction (conditional) - - CO2, CH4, N2O Economy wide (energy, IPPU, waste, agriculture, LULUCF) 1996 SAR
Malawi Intensity reduction 0.0% ~BAU 2030 Various measures (new GHG inventory not yet available) Emissions per capita targets of 0.7-0.8t/cap by 2030 (vs. 1.5t/cap BAU) 0.7-0.8t/cap - CO2, CH4, N2O AFOLU, energy, IPPU and waste Not specified Not specified
Singapore Intensity reduction 0.1% 2005 2030 36% reduction in GHG intensity; peaking emissions around 2030 0.113 kgCO2e/S$ - All ex. NF3 Energy, IPPU, agriculture, LULUCF, waste - 100% of national emissions 1996 for CO2, CH4 and N2O; 2006 for HFCs, PFCs and SF6 SAR
Tunisia Intensity reduction 0.1% 2010 2030 13% unconditional reduction in carbon intensity; additional 28% conditional reduction --> total 41% reduction in carbon intensity by 2030, compared to 2010. 2005 is set as a continuous baseline. In energy, Tunisia will aim to reduce carbon intensity by 46%. 42.4 - CO2, CH4, N2O 100% of emissions of 2010 2006 AR4
Turkmenistan Intensity reduction 0.2% 2000 2030 Reduction in GHG emissions per unit GDP. Conditional: zero growth emissions (stabilisation), or reducing emissions by 2030. - - CO2, CH4, N2O Economy wide: energy, industrial processes, agriculture, waste 1996, 2006, 2000 (uncertainty), 2003 (LULUCF) Not supplied
Zimbabwe Intensity reduction 0.1% BAU 2030 Per capita emissions 33% below BAU (conditional) 2.205t/cap - CO2, CH4, NO2 Reductions in the energy sector Will use 'internationaly agreed locally relevent guidelines' Will use 'internationaly agreed locally relevent guidelines'
Antigua and Barbuda Other 0.0% 2006 (reference year) Various (2020 and 2030) Measures and activities: Unconditional: - enhance the insitutional environment for low C development; - update the building code by 2020; Conditional: - Establish energy efficiency targets for import of vehicles/appliances by 2020; - Finalize studies for a Waste-to-Energy plant by 2020, with intention to construct by 2025; - 50MW of RE by 2030; - Protect wetlands and watershed areas with C sequestration potential by 2030. - - CO2, CH4, N2O, HFCs Energy, agriculture, LULUCF, waste, transport, tourism, health 2006 SAR
Bahamas Other 0.0% - 2030 Work through PPPs and government funding to increase renewables in the energy mix to a minimum of 30% by 2030. Increase energy efficiency in the transport sector and construction industry, and develop financial incentives to support investments in these sectors. Under the amended Forestry Act, establish a National Forest Estate, to reduce emissions from deforestation and degradation, and increase sequestration. Manage mangrove ecosystems to increase their carbon sink ability. - - CO2, CH4, N2O Energy and forestry 1996 SAR
Bahrain Other 0.1% n/a 2030 Measures to reduce dependence on oil and gas and pursue economic diversification with emission reductions cobenefits. Focus is on energy efficiency, CCS and RE. - - - - Not specified Not specified
Belize Other 0.0% n/a Various Various measures: reduce deforestation, degradation and manage forests sustainably; reduce conventional transport fuel use by 20% by 2033, improve energy efficiency, increase RE share in electricity mix by 85% by 2027 (leading to a 62% reduction in CO2 emissions vs. BAU). - - CO2 Sectors: energy, LULUCF Not specified Not specified
Bhutan Other 0.0% n/a n/a Overall aim to remain carbon neutral (conditional upon international support). Other aims to maintain at least 60% total land under forest cover, and make efforts to maintain current level (70.46%) through sustainable forest management and conservation of environmental services. Plans to offset up to 22.4Mt per year by 2025 by exporting hydroelectricity. - - CO2, CH4, N2O - Not specified Not specified
Bolivia (plurinational state of) Other 0.1% 2010 2030 Water, energy and AFOLU targets: increase share of RE to 79% or 81% by 2030 (from 39% in 2010) (without and with international support respectively), increase the share of alternative energy in the electricity sector from 2% in 2010 to 9% in 2030; zero illegal deforestation by 2020, reforest 4.5 million ha by 2030, increase area of sustainably managed forest to 16.9m ha; and various other adaptation and mitigation / conservation measures. - - n/a n/a Not specified Not specified
Brunei Darussalam Other 0.0% - 2035 Reduce total energy consumption by 63% by 2035 vs. BAU, increase share of renewables to 10% of total power generation. Reduce CO2 emissions from morning peak hour vehicle use by 40% by 2035 (vs. BAU). Incrase total gazette forest reverse to 55% total land area. Brunei reserves the right to update its INDC when more data is available. - - - Energy (main focus), transport, LULUCF (forestry) Not specified Not specified
Cape Verde Other 0.0% BAU 2025 and 2030 Renewables and energy efficiency targets: 30% RE penetration into electric grid by 2025 (unconditional), 100% with international support; reduce energy demand by 20% relative to BAU by 2030. Afforestation / reforestation campaign area of ~10,000ha by 2030 (unconditional), or 10,000 with support, by 2030 - could reach 7.2Mt for 20,000ha after 30 years. Removing three-stone stoves to remove demand for firewood. - - CO2, CH4, N2O Energy, transport, waste, AFOLU 2006 AR4
Cook Islands Other 0.0% 2006 2030 Electricity sub-sector reduction in emissions - 38% (unconditional), 81% (conditional). The Cook Islands are also looking to embrace proven low carbon transport technologies. ~0.005Mt (electricity) (from graph) - CO2 Electricity sector (34% of 2006 emissions), with possible efforts in the transport sector (33%) Not specified Not specified
Cuba Other 0.1% n/a 2030 Projects and measures in energy and agriculture sectors. Cuba may consider intermediate targets, depending on the outcome of the agreement. - - CO2, CH4, N2O Energy and agriculture emissions are prioritised for emissions reductions Not specified Not specified
Egypt Other 0.7% - 2030 Policies / measures to provide "appropriate foundations for the development of low carbon energy systems": - more efficient energy use - inceased use of RE - use of advanced locally-approapriate and more efficient fossil fuels - EE - Phasing out energy subsidies within a period of 3-5 years. See page 11-12 for a table of measures - - - - Not specified Not specified
El Salvador Other 0.0% - - Five-Year Development Plan (2015-19) sets out objectives for energy efficiency, RE, and to control emissions in transport and waste sectors. This will be extended though development and implementation of NAMAs, and implementation of REDD+ programs and the adaptation of agriculture to climate change. (Conditional) Source: CAIT (original in Spanish) - - - Actions in energy, water, agriculture, forestry,... (source: CAIT) Not specified Not specified
Fiji (the republic of) Other 0.0% 2013 2030 10% below BAU in the energy sector (unconditional) 30% below BAU in the energy sector (conditional). This will be achieved through a target for electricity generation to approach 100% renewable energy by 2030, and an indicative reduction of 10% from energy efficiency improvements economy-wide 1.8 - CO2 Energy sector (and energy efficiency improvements across the economy) Not specified Not specified
Gambia Other 0.0% 2010 2025 2030 Activity / sector based INDC, with estimated reductions of ~44.4% below BAU in 2025 and ~45.4% below BAU in 2030 (excluding LULUCF). Only two activities are unconditional (afforestation and renewable energy installation); others are conditional (e.g. rice intensification and upland rice replacement, energy efficiency measures, methane capture and flaring, reycling and composting). 2.1 (from graph) - All Agriculture, energy, industrial processes, transport and waste management 2006 and 2013 KP supplement AR4
Guinea Other 0.0% 1994 2030 Expected reduction of 13% below BAU (excluding LULUCF) (conditional), based on a number of policies and measures - - Not specified Energy, agriculture, LULUCF (97%) (but LULUCF not included in emissions targets) Not specified Not specified
Guinea-Bissau Other 0.0% - 2030 Quantifiable emissions reductions not possible yet. Policies / measures include: establish a forestry policy, conduct studies into energy potential, develop a legal framework through a national strategy for long-term low-carbon development. The period to 2020 will be used to study the forestry and energy sectors in order to analyse mitigation potential. - - CO2, CH4, Nox - Not specified Not specified
Guyana Other 0.0% ? 2025 Mitigation from measures in forestry and energy sectors. Forestry: Emissions Reduction Programme in forestry, including expanded Reduced Impact Logging (1.2Mt reduction) and land reclamation in the extractive sectors (2.1Mt), and avoided deforestation (48.7Mt reduction, but note that this is Guyana's forest emissions reference level for REDD+). Energy: construct and/or promote small hydro systems, encourage the use of bio-digesters, policies for energy efficiency and renewable energy, public awareness raising. Conditionally, Guyana could develop an energy system based on 100% renewable power by 2025. - - - - Not specified Not specified
Kuwait Other 0.2% - 2035 Unofficial translation suggests no quantitative emissions reduction target (source: WRI CAIT). "Through projects and legislation, Kuwait will continue to build its economy in the context of sustainable development. Therefore Kuwait puts great importance on diversifying its sources of energy for production." - - Not specified, but discusses CO2 Energy, industrial processes, waste, agriculture Not specified Not specified
Lao People's Democratic Republic Other 0.0% - - Various measures: - Increase forest cover to 70% land area by 2020 - Increase RE share to 30% of energy consumption by 2025, excluding large plants - Make electricity available to 90% of households by 2020 - Implement transport focused NAMAs - Expand large-scale hydro - - not supplied Not supplied Not specified Not specified
Mongolia Other 0.1% 2030 14% below BAU (not including LULUCF) - indicative, based on a series of policies and measures: increase RE to 30% share of electricity generation capacity, reduce transmissions losses by 7.8%, reduce building heat loss by 40%, reduce internal energy use of CHP plants, implement advanced technology in energy production (e.g. super critical pressure coal combusion technology), upgrade paved roads, increase hybrid road vehicles to 13%, shift from liquid fuel to LPG, improve enforcement of standards for transport, reduce cement industry emissions, maintain livestock population at appropriate levels. Additional potential actions are also listed, including future action in the forest sector. The target requires international support to complement domestic resources. - - CO2, CH4, N2O Energy, industry, agriculture, waste 1996 Not specified
Mozambique Other 0.1% Not specified 2030 Series of policy actions and programmes: 1.NCCAMS; 2. Energy Strategy; 3. Biofuel Policy and Strategy; 4. New and Renewable Energy Development Strategy; 5. Conservation and Sustainable Use of the Energy from Biomass Energy Strategy; 6. Master Plan for Natural Gas; 7. Renewable Energy Feed-in Tariff Regulation (REFIT); 8. Mozambique’s Integrated Urban Solid Waste Management Strategy; 9. National REDD+ Strategy; 10. RE Atlas for Mozambique; 11. Project to build and manage two solid waste landfills with the recovery of methane; and 12. Urban Mobility in Maputo municipality. Preliminary estimates of a total cumulative reduction of 76.5 Mt over 2020-30 (23.0 Mt by 2024 and 53.4 Mt over 2025-30) - not clear whether against a BAU - will be updated in 2018 with BUR data. - - CO2, CH4, N2O Actions in sectors: energy, LULUCF, waste (although there is potential for action in industry and agriculture) 1996 SAR
Myanmar Other 0.2% - - Series of measures in different sectors: - Increase forest land and protected area systems (National Permanent Forest Estate Target of 30% land area as Reserved Forest and Protected Public Forest, and 10% as Protected Area Systems); - Increase RE and rural electrification; - Improve industrial energy efficiency - Introduce energy efficient cook stoves. - - not supplied - Not specified Not specified
Nauru Other 0.0% - - INDC hinges on the National Energy Road Map and the National Sustainable Development Strategy, among others. - 0.6 MW solar PV system (using secured funding of US$5 - unconditional); - Replace a substantial part of diesel generation with large scale grid connected solar PV, alongside demand management measures (conditional); (reserves right to revise INDC) - - CO2 Energy sector 2006 Not specified
Nepal Other 0.1% - - By 2050: 80% electrification through RE, and reduced dependence on fossil fuels by 50%. Develop electrical (hydro-powered) rail network by 2040; maintain 40% of area under forest cover, with emphasis on enhacing carbon sequestration; 12 GW hydro by 2030; 2.1 GW solar by 2030; 220MW bioenery; 50MW small and micro hydro; 10% biogas as energy for cooking; equip all households in rural areas with smokeless cooking stoves by 2030. Existing policies: NRREP (national rural renewable energy programme) - aims by 2020 for 20% RE; increase share of EVs to up to 20% by 2020 (existing policy); pilot sub-national REDD+ project to reduce 14Mt CO2 by 2020 - By 2050: 80% electrification through RE, and reduced dependence on fossil fuels by 50%. - - Not specified Not specified
Niue Other 0.0% - - 38% share of RE in total electricity generation by 2020; 10% reduction in residential, commercial and government electricity demand by 2020 (~1.2Gg/yr, or 0.0012Mt); 80% renewable electricity generation (or higher) by 2025 (conditional) (equivalent to ~0.0031Mt/yr) - - CO2, CH4, N2O Electricity (42% of 2009 energy sector emissions; not data for waste and agriculture in 2009) Not specified Not specified
Pakistan Other 0.9% - - Pakistan is committed to reduce its emissions after reaching peak levels to the extent possible subject to affordability, provision of international climate finance, transfer of technology and capacity building. Specific commitments will only be possible once data on peak emissions levels is available. - - - - Not specified Not specified
Palau Other 0.0% 2005 2025 Reductions in energy sector by 22%; 45% renewable energy; 35% energy efficiency 0.068 (from graph) - CO2, CH4 Energy, transport, waste Not specified Not specified
Panama Other 0.0% BAU 2030/2050 Renewable energy target - 15/30% share of non-conventional renewables in energy sector by 2030/50. Increase in LULUCF sink by 10% / 80% by 2050, relative to a BAU scenario (unconditional / conditional) - Yes - for renewable energy and LULUCF sinks CO2 Energy and LULUCF sectors Not specified Not specified
Papua New Guinea Other 0.0% - 2030 Series of measures in different sectors: - Switch to more renewable energy (aim for carbon free electricity sector by 2030); - Energy efficiency; - Increase public transport; - Assessing drivers of deforestation; will develop a national REDD+ strategy - - CO2, plus CH4 in industry calculations Targeted reductions in the electricity sector. 2006 will be used in future reports Not specified
Qatar Other 0.3% - - Aim to enhance diversification of the economy away from hydrocarbon; exporting LNG, moving to cleaner energy, advancing R&D. Also water management, waste management, and transport schemes (public transport etc.) - - - - Not specified Not specified
Rwanda Other 0.0% - 2030 Emissions reductions will be estimated once the 3rd NCR is complete (by 2017). Target: emission reductions from projected emissions due to policies/actions conditional on international support. Aim is to achieve energy security and a low carbon energy supply to support the development of Green Industry and Services while avoiding deforestation. Programmes include: low carbon energy mix, sustainable small-scale energy installation, EE and demand side management, promote sustainable use of biomass fuels, efficient and resilient transport system, green industry and private sector development, implementatin of low carbon urban systems, sustainable forestry, agroforestry and biomass energy. - - CO2, CH4, N2O Agriculture, energy, industry, urban and rural settlement, transport, waste, LULUCF Not specified Not specified
Samoa Other 0.0% - 2025 100% RE for electricity generation, conditional on meeting 100% by 2017 and receiving international assistance to maintain this through to 2025. - - CO2 Electricity accounted for ~13% of total GHG emissions in 2014. 2006 n/a (only CO2)
Saudi Arabia Other 1.4% 2000 2030 Aim for an annual reduction of up to 130Mt by 2030. Mitigation actions will cover energy efficiency, renewable energy, CCS/utilization, utilization of gas, and methane recovery and flare minimization. A number of adaptation measures with mitigation co-benefits are also mentioned. - - - - 1996 Not specified
Sierra Leone Other 0.0% 1990 2035 and 2050 Keep emissions "relatively low" - around the world average of 7.58Mt by 2035, or neutral by 2050. Reduce intensity by 25-35Mt by 2050 vs 1990 levels. Varous measures suggested, e.g. energy efficiency programmes, alternative energy sources, improved waste management. - - CO2, CH4, N2O The mining/extractive sector has not been included, and emissions from biomass combustion are assessed but not counted. Otherwise all sectors in IPCC guidelines are considered (energy, IPPU, AFOLU, waste) 1996 SAR
Somalia Other 0.1% - - Feasible mitigation and adaptation policies and actions: sustainable land management and food security through enhanced productivity; integrated Water Management; utilization of renewable energy sources such as solar, hydroelectric and wind; introduce more efficient kilns for charcoal making, to reduce deforestation; reforestation using regional nurseries and forest plantation - - - - Not specified Not specified
South Africa Other 1.1% 2020 year-end 2030 Peak, plateau and decline GHG emissions, with emissions by 2025 and 2030 in the range 398 - 614 Mt - Yes - decarbonisation of electricity All, with material focus on CO2, CH4 and N2O Energy, IPPU, waste and AFOLU 2006 AR4 (although the most recent GHG inventory used the TAR)
South Sudan Other 0.1% - - Undertake a national GHG inventory, untertake policies and actions in energy generation and use, LULUCF, transport. Increase use of clean and carbon-neutral energy, declare ~20% of natural forests as reserve forests to protect from deforestation, plant 20 milion trees over 10 years, establish emissions standards and exhaust testing centres for vehicles (conditional) - - CO2 Energy generation and use, transport, LULUCF Not specified Not specified
Sudan Other 0.3% - 2030 Measures: - 20% renewables in power system (with specific targets for each technology); - Energy efficiency - estimated savings of 6500 GWh; - Production of 2300 MW using natural gas, with GHG reductions; - Afforestation / reforestation to reach 25% forest cover (conditional on financial support); - National REDD+ strategy; - Aim for zero waste to landfill - - - Energy, waste and LULUCF Not specified Not specified
Suriname Other 0.0% - 2025 Measures in forests and renewable energy: - Forests: unconditional actions include increasing the area of forests and wetlands undre preservation; conditional actions to apply carbon pricing to keep deforestation rates low; - Energy: unconditional actions include a National Energy Plan (2013-2033), with solar energy projects and energy efficiency program; conditional actions include RE projects (hydro and biofuels) - - CO2, CH4, N2O Forests and renewable energy Not specified Not specified
Swaziland Other 0.0% 2010 2030 Targets are to: - develop a robust national GHG inventory, a credible baseline and emissions trajectory, and a comprehensive MRV system; - double renewable energy share; - introduce 10% ethanol blend in petrol; and - phase out HFCs, PFCs and SF6 gases. The effects are estimated as reductions of 0.94MtCO2e for the renewables target and 0.03Mt for the transport target. - - CO2, CH4, N2O will be decreased; HFCs, PFCs and SF6 will be phased out. Emissions are not yet recorded 2006 guidelines used to estimate emissions reductions AR4
Tonga Other 0.0% - 2020, 2030 Sector-based targets: - 50% electricity generation from renewable sources by 2020 (~0.027Mt CO2e); - 70% renewable by 2030; - Improve EE through reduction of electricity line losses from 18% in 2010 to 9% in 2020; - Double the 2015 number of MPAs by 2030; - Sector emission reduction targets in transport, agriculture, waste management and reforestation; e.g. halt deforestation and degradation of indigenous forests, establish and manage forest reserves; Emisions data will be available once the third NC is complete. - - CO2, CH4, N2O Energy - electricity (23% of 2006 emissions), transport, agriculture, waste 2006 Not specified
Tuvalu Other 0.0% 2010 2025 Reduce GHG emissions in electricity sector by 100% by 2025 Reduce emissions from energy esctor by 60% by 2025 Further emissions reductions in agriculture and waste sectors, conditional upon necessary technology and finance. Unconditional contribution: furthering actions already undertaken through RE programmes. Conditional aspects: sectorial level actions, e.g. in transport. - - CO2, CH4 (others negligible) ~100% - energy (electricity generation, transport, other (cooking)), agriculture, waste 1996 Consistent with methods used in 2nd NC (currently being finalised)
Uganda Other 0.1% BAU 2030 Measures include: - Increase renewable electricity generation to 3.2GW in 2030 - Increase forest cover to 21% in 2030 from 14% in 2013, through reduced deforestation and afforestation / forest management measures - Increase wetland coverage to 12% by 2030, from 10.9% in 2014. Other conditional measures: - Sustainable energy solutions in public buildings, promotion of more efficient cook stoves, promotion of solar energy (potential for 2Mt savings in 2030). - Climate smart agriculture - potential to save 2.7Mt per year by 2030. - Livestock breeding research and manure management. Measures could lead to a 22% reduction vs. BAU. Additional measures are also given, but the aggregate effect on emissions is not quantified. Domestic funds will cover 30% of costs, the remaining 70% of funds is assumed to come from international sources. - - n/a n/a Not specified Not specified
United Arab Emirates Other 0.5% n/a Various UEA will "expand its ambitious actions to limit emissions and improve resilience through economic diversification… based on a strategy of economic diversification that will yield mitigation and adaptation co-benefits…". This will be done through "a portfolio of actions, including an increase of clean energy to 24% of the total energy mix by 2021". Measures include: - improve water and EE through tariff reform, building and efficiency standards, demand side management, district cooling, appliance efficiency standards (many of these actions have already been done); - In transport and infrastructure: fuel pricing policy, federal freight rail network, targets to shift 25% of government vehicle fleets to compressed natural gas, has invested in a light-rail and metro system. Emissions standards and regulations for EVs are also being improved / introduced; - Increase the amount of waste diverted from landfill; - Adaptation plans with mitigation co-benefits are listed (e.g. blue carbon conservation, R&D, education, MRV). - - n/a n/a Not specified Not specified
Uruguay Other 0.1% 1990 (except for LULUCF and power generation) 2030 Sector level targets: - Remove 13.2Mt per year (unconditional) or 19.2Mt (conditional) through LULUCF (vs. 1990 levels); - Energy intensity/GDP decrease by 25-40% (unconditional-conditional); - Industrial emissions intensity/GDP kept at the reference value or reduced by 40% (conditional); - Beef CH4 emissions intensity reduced by 33-46%; - Waste CH4 emissions intensity reduced by 44-68%; - Other CH4 sectors reduced by 45-60%; - Beef N2O intensity reduced by 31-41%; - Other N2O sectors reduced by 40-55%. - - CO2, CH4, N2O 0.997 1996, 2003 good practice guidance for LULUCF, 2006 guidelines for the waste sector. Not specified