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2023 IDB Climate Finance Database

By Climate Change Solutions Division (VPS/CSD/CCS)

Under the current IDBG Corporate Results Framework (CRF) 2020-2023 (https://crf.iadb.org/en), the IDB committed to reach 30% of the total amount approved (including all lending operations) of climate finance during this period. In 2022, the IDB Group - composed of the IDB, IDB Lab (formerly the Multilateral Investment Fund) and IDB Invest - approved US$7.8 billion in climate finance as per the MDB climate finance tracking methodology. This resource is aimed at development activities carried out by the public and private sectors that reduce greenhouse gas (GHG) emissions and thus mitigate climate change, and/or that reduce vulnerability to climate change and contribute to an adaptation process. The IDB approved US$6.1 billion in climate finance (45.3% of total approvals). The IDB Group is composed of two separate legal entities: the IDB and the Inter-American Investment Corporation (IIC), which was rebranded as IDB Invest in 2017. The IDB Lab is a trust fund administered by the IDB and serves a unique function as the IDB Group s innovation laboratory. This dataset pertains to the IDB. Climate finance for the entire IDB Group (IDB, IDB Lab, and IDB Invest) in 2023 was US$8.3 billion.

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Metadata & use

Identifier https://doi.org/10.60966/s10a-j762
License Creative Commons Attribution 4.0 International
Citation

Morandi, Paula;Lewis, Amy, 2024, 2023 IDB Climate Finance Database, IDB Open Data, https://doi.org/10.60966/s10a-j762
Issued date 2024-03-22
Modified date 2025-04-10
Tags/Keywords Decarbonization
Language English
In Series IDB Climate Finance Data
Temporal coverage 2023-2023
Geographic coverage
Argentina
Bahamas
Barbados
Belize
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Suriname
Trinidad and Tobago
Uruguay
Venezuela
Regional coverage Latin America and the Caribbean
Publisher
Inter-American Development Bank
Author
Morandi, Paula
Lewis, Amy
Data collection type Administrative Data
Data structure Semistructured Data

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