期刊
QUARTERLY JOURNAL OF ECONOMICS
卷 137, 期 4, 页码 2037-2105出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/qje/qjac020
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This study estimates the age-specific mortality-temperature relationships using subnational data from 40 countries. It reveals a U-shaped relationship where extreme cold and hot temperatures increase mortality rates, especially among the elderly. However, higher incomes and adaptation to local climate flatten this relationship. The study also estimates that the global increase in mortality risk due to climate change, considering adaptation benefits and costs, is valued at approximately 3.2% of global GDP in 2100 under a high-emissions scenario.
Using 40 countries' subnational data, we estimate age-specific mortality-temperature relationships and extrapolate them to countries without data today and into a future with climate change. We uncover a U-shaped relationship where extre6me cold and hot temperatures increase mortality rates, especially for the elderly. Critically, this relationship is flattened by higher incomes and adaptation to local climate. Using a revealed-preference approach to recover unobserved adaptation costs, we estimate that the mean global increase in mortality risk due to climate change, accounting for adaptation benefits and costs, is valued at roughly 3.2% of global GDP in 2100 under a high-emissions scenario. Notably, today's cold locations are projected to benefit, while today's poor and hot locations have large projected damages. Finally, our central estimates indicate that the release of an additional ton of CO2 today will cause mortality-related damages of $36.6 under a high-emissions scenario, with an interquartile range accounting for both econometric and climate uncertainty of [-$7.8, $73.0]. These empirically grounded estimates exceed the previous literature's estimates by an order of magnitude.
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