气候变化领域集成服务门户(CCPortal): Consistent and replicable estimation of bilateral climate finance

CCPortal

DOI	10.1038/s41558-022-01482-7
	Consistent and replicable estimation of bilateral climate finance
	Toetzke, Malte; Stuenzi, Anna; Egli, Florian
发表日期	2022
ISSN	1758-678X
EISSN	1758-6798
起始页码	897
结束页码	+
卷号	12 期号:10 页码:17
英文摘要	A reliable and consistent inventory is important for the international community to track and promote the progress of climate finance. A machine learning classifier reveals that the current framework may overestimate the actual number of bilateral climate finance projects. 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.
学科领域	Environmental Sciences; Environmental Studies; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000859835700001
来源期刊	NATURE CLIMATE CHANGE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/274203
作者单位	Swiss Federal Institutes of Technology Domain; ETH Zurich; University of St Gallen; Potsdam Institut fur Klimafolgenforschung; Swiss Federal Institutes of Technology Domain; ETH Zurich; University of London; University College London
推荐引用方式 GB/T 7714	Toetzke, Malte,Stuenzi, Anna,Egli, Florian. Consistent and replicable estimation of bilateral climate finance[J],2022,12(10):17.
APA	Toetzke, Malte,Stuenzi, Anna,&Egli, Florian.(2022).Consistent and replicable estimation of bilateral climate finance.NATURE CLIMATE CHANGE,12(10),17.
MLA	Toetzke, Malte,et al."Consistent and replicable estimation of bilateral climate finance".NATURE CLIMATE CHANGE 12.10(2022):17.