Consistent and replicable estimation of bilateral climate finance
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.
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.
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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