Consistent and replicable estimation of bilateral climate finance

Malte Toetzke (), Anna Stünzi () and Florian Egli ()
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Malte Toetzke: ETH Zurich
Anna Stünzi: University of St. Gallen
Florian Egli: ETH Zurich

Nature Climate Change, 2022, vol. 12, issue 10, 897-900

Abstract: 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.

Date: 2022
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DOI: 10.1038/s41558-022-01482-7

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