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  Consistent and Replicable Estimation of Bilateral Climate Finance

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-EBDA-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-EBDB-2
Genre: Journal Article

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 Creators:
Toetzke, Malte1, Author           
Stünzi, Anna2, Author
Egli, Florian2, Author
Affiliations:
1MPI for Innovation and Competition, Max Planck Society, ou_2035292              
2External Organizations, ou_persistent22              

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 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.

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Language(s): eng - English
 Dates: 2022
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41558-022-01482-7
 Degree: -

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Title: Nature Climate Change
  Abbreviation : Nat. Clim. Chang.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 12 (19) Sequence Number: - Start / End Page: 879 - 900 Identifier: ISSN: 1758-678x
CoNE: https://pure.mpg.de/cone/journals/resource/1758-678x