The non-linear effect of daily weather on economic performance: Evidence from China
Haiying Gu and
China Economic Review, 2021, vol. 69, issue C
This paper thoroughly examines the impacts of daily weather on the aggregate economic outcomes in China and identifies the underlying channels. Using within-county variations in daily weather between 1996 and 2012, we find that daily temperature and precipitation have non-linear effects on county-level economic outcomes. An additional day with an average temperature above 20 °C reduces county-level GDP by 0.05% to 0.08%, and the detrimental effects tend to intensify when the temperature rises. The precipitation does not have robust effects on county-level GDP. By examining the effects of daily weather on primary, secondary, and tertiary industries, we find that the primary industry is the main channel of the negative impacts of high temperatures. Heavy precipitation is inclined to harm agricultural output, especially grains and oil crop yields. Besides, we discover heterogeneous responses to weather extremes across counties and find suggestive evidence of adaptation.
Keywords: Extreme weather events; Temperature; Precipitation; Economic performance; Adaptation (search for similar items in EconPapers)
JEL-codes: O44 Q15 Q51 Q54 R11 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chieco:v:69:y:2021:i:c:s1043951x21000651
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