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Consistent and replicable estimation of bilateral climate finance

Journal
Nature Climate Change
Type
journal article
Date Issued
2022-09-22
Author(s)
Toetzke, Malte
;
Stünzi, Anna  
;
Egli, Florian
DOI
10.1038/s41558-022-01482-7
Abstract (De)
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.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Number
12
Start page
897
End page
900
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/108223
Subject(s)

other research area

political science

social sciences

responsibility and su...

Eprints ID
268238
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