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  Consistent and replicable estimation of bilateral climate finance

Toetzke, M., Stünzi, A., Egli, F. (2022): Consistent and replicable estimation of bilateral climate finance. - Nature Climate Change, 12, 897-900.
https://doi.org/10.1038/s41558-022-01482-7

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_27513 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_27513_2
Genre: Journal Article

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 Creators:
Toetzke, Malte1, Author
Stünzi, Anna2, Author              
Egli, Florian1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 Abstract: International climate finance is key to achieving the goals of the Paris Agreement. Here we develop a machine learning classifier to identify international climate finance from 2.7 million official development assistance projects between 2000 and 2019, resulting in a consistent and replicable inventory of 82,023 bilateral climate finance projects (US$80 billion). Our findings reinforce concerns that the actual numbers may be much lower than current estimates made with Rio markers.

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Language(s): eng - English
 Dates: 2022-09-222022-10
 Publication Status: Finally published
 Pages: 17
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41558-022-01482-7
PIKDOMAIN: RD3 - Transformation Pathways
Organisational keyword: RD3 - Transformation Pathways
Working Group: Climate & Energy Policy
MDB-ID: No data to archive
Research topic keyword: Sustainable Development
Research topic keyword: Mitigation
Research topic keyword: Adaptation
Regional keyword: Global
Model / method: Machine Learning
 Degree: -

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Title: Nature Climate Change
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 12 Sequence Number: - Start / End Page: 897 - 900 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/140414
Publisher: Nature