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COVID-19 lockdowns and air quality: Evidence from grey spatiotemporal forecasts
Mingyun Gao1,2, Honglin Yang1, Qinzi Xiao1,3
1School of Business Administration, Hunan University, Changsha, Hunan, 410082, PR China.
Abstract:
This paper proposes a novel grey spatiotemporal model and quantitatively analyzes the spillover and momentum effects of the COVID-19 lockdown policy on the concentration of PM2.5 (particulate matter of diameter less than 2.5 μm) in Wuhan during the COVID-19 pandemic lockdown from 23 January to 8 April 2020 inclusive, and the post-pandemic period from 9 April 2020 to 17 October 2020 inclusive. The results suggest that the stringent lockdowns lead to a reduction in PM2.5 emissions arising from a momentum effect (9.57-18.67%) and a spillover effect (7.07-27.60%).
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