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Journal Article

Consistent and Replicable Estimation of Bilateral Climate Finance

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Toetzke,  Malte
MPI for Innovation and Competition, Max Planck Society;

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Citation

Toetzke, M., Stünzi, A., & Egli, F. (2022). Consistent and Replicable Estimation of Bilateral Climate Finance. Nature Climate Change, 12(19), 879-900. doi:10.1038/s41558-022-01482-7.


Cite as: https://hdl.handle.net/21.11116/0000-000F-EBDA-3
Abstract
International climate fnance is key to achieving the goals of the Paris
Agreement. Here we develop a machine learning classifer to identify
international climate fnance from 2.7 million ofcial development
assistance projects between 2000 and 2019, resulting in a consistent and
replicable inventory of 82,023 bilateral climate fnance projects (US$80
billion). Our fndings reinforce concerns that the actual numbers may be
much lower than current estimates made with Rio markers.