Country | GHG | INDC Summary | MCT | GTT |
Algeria | 201.69 | By 2030, reduce greenhouse gas emissions by 7-22%, compared to a baseline scenario (Business as Usual: BAU), Conditional on support for external financing, capacity building, technology transfer and development | GHGT | BST |
Angola | 252.09 | Reduce greenhouse gas emissions up to 35% unconditionally by 2030β. Also an additional 15% below BAU emission levels by the same time is possible with a conditional mitigation scenario. Over 14.7billion USD. | GHGT | BST |
Benin | 23.54 | βIn comparison to the status quo scenario, reduction of overall cumulative greenhouse gas emissions without the inclusion of the forestry sector. Featuring about 49.49 Mt E-CO2, a reduction of 16.17 percent. Over the period 2021 to 2030. | GHGT | BST |
Botswana | 36.56 | 15% reduction by 2030 in terms of overall emissions, with 2010 as the base year.β | GHGT | BYT |
Burkina Faso | 32.6 | Three scenarios. reduce greenhouse gas emissions by 7808 Gg/yr in 2030, Unconditional (annex 1), reduce greenhouse gas emissions by (11.6%),13.766 Gg/yr in 2030, A Hybrid Conditional scenario (annex 1), to restore and develop 5,055,000 ha of degraded lands hence feeding an additional 6,000,000 persons at the 2030 horizon. | GHGT and NGHGT | BST |
Burundi | 5.56 | In comparison to the BAU Scenario, reduce greenhouse gas emissions by 3% for 2030 Conditional contribution: Reduce greenhouse gas emissions by 20%, beginning in 2016, for 2030. | GHGT | BST |