Consistent and replicable estimation of bilateral climate finance

Malte Toetzke; Anna Stünzi; Florian Egli

doi:10.1038/s41558-022-01482-7

Consistent and replicable estimation of bilateral climate finance

Malte Toetzke, Anna Stünzi, Florian Egli

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

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.

Original language	English
Pages (from-to)	897-900
Number of pages	4
Journal	Nature Climate Change
Volume	12
Issue number	10
DOIs	https://doi.org/10.1038/s41558-022-01482-7
State	Published - Oct 2022
Externally published	Yes

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10.1038/s41558-022-01482-7

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title = "Consistent and replicable estimation of bilateral climate finance",

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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AU - Stünzi, Anna

AU - Egli, Florian

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AB - 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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Consistent and replicable estimation of bilateral climate finance

Abstract

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