气候变化
环境科学
分布(数学)
生产(经济)
自然资源经济学
气候学
经济
生态学
数学
生物
数学分析
宏观经济学
地质学
作者
Maximilian Kotz,Anders Levermann,Leonie Wenz
出处
期刊:Nature
[Springer Nature]
日期:2022-01-12
卷期号:601 (7892): 223-227
被引量:177
标识
DOI:10.1038/s41586-021-04283-8
摘要
Macro-economic assessments of climate impacts lack an analysis of the distribution of daily rainfall, which can resolve both complex societal impact channels and anthropogenically forced changes1,2,3,4,5,6. Here, using a global panel of subnational economic output for 1,554 regions worldwide over the past 40 years, we show that economic growth rates are reduced by increases in the number of wet days and in extreme daily rainfall, in addition to responding nonlinearly to the total annual and to the standardized monthly deviations of rainfall. Furthermore, high-income nations and the services and manufacturing sectors are most strongly hindered by both measures of daily rainfall, complementing previous work that emphasized the beneficial effects of additional total annual rainfall in low-income, agriculturally dependent economies4,7. By assessing the distribution of rainfall at multiple timescales and the effects on different sectors, we uncover channels through which climatic conditions can affect the economy. These results suggest that anthropogenic intensification of daily rainfall extremes8,9,10 will have negative global economic consequences that require further assessment by those who wish to evaluate the costs of anthropogenic climate change.
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