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Journal Article

Consistent and replicable estimation of bilateral climate finance

Authors

Toetzke,  Malte
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/persons/resource/anna.stuenzi

Stünzi,  Anna
Potsdam Institute for Climate Impact Research;

Egli,  Florian
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Citation

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


Cite as: https://publications.pik-potsdam.de/pubman/item/item_27513
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.