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COVID-19 lockdowns and air quality: Evidence from grey spatiotemporal forecasts.
Gao, Mingyun; Yang, Honglin; Xiao, Qinzi; Goh, Mark.
Afiliação
  • Gao M; School of Business Administration, Hunan University, Changsha, Hunan, 410082, PR China.
  • Yang H; NUS Business School and The Logistics Institute-Asia Pacific, National University of Singapore, S(117592), Singapore.
  • Xiao Q; School of Business Administration, Hunan University, Changsha, Hunan, 410082, PR China.
  • Goh M; School of Business Administration, Hunan University, Changsha, Hunan, 410082, PR China.
Socioecon Plann Sci ; 83: 101228, 2022 Oct.
Article em En | MEDLINE | ID: mdl-35034989
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article