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Asymmetric effects of fine particulate matter and stringency policy on COVID-19 intensity.
Razzaq, Asif; Cui, Yiniu; Irfan, Muhammad; Maneengam, Apichit; Acevedo-Duque, Ángel.
  • Razzaq A; School of Economics and Management, Dalian University of Technology, Dalian, PR China.
  • Cui Y; School of Finance, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China.
  • Irfan M; School of Management and Economics, Beijing Institute of Technology, Beijing, China.
  • Maneengam A; Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, China.
  • Acevedo-Duque Á; Department of Business Administration, Ilma University, Karachi, Pakistan.
Int J Environ Health Res ; : 1-13, 2022 Mar 31.
Article in English | MEDLINE | ID: covidwho-1774139
ABSTRACT
This study aims to examine the influence of environmental performance (PM2.5) on COVID-19 intensity . For this purpose, we employ the newly introduced Hidden Panel Cointegration test and Nonlinear Panel Autoregressive Distributed Lag model. Results indicate the asymmetric linkages between PM2.5 and COVID-19 intensity, as the positive shock in PM2.5 raises the COVID-19 intensity by 21%, whereas the negative shock in PM2.5 decreases COVID-19 intensity by 12% in long-run. On the contrary, the positive shock in stringency measures decreases COVID-19 intensity by 42.8%, while the negative shock in stringency policy increases COVID-19 intensity by 66.7%. These findings imply that higher pollution increases the COVID-19 severity while higher stringency measures slow down people's movement and reduce COVID-19 intensity. However, a sudden negative shock in lockdown increases people's interaction, leading to a higher spread of the virus. These results suggest that governments should adopt stringent action plans to contain the transmissibility of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Int J Environ Health Res Journal subject: Environmental Health Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Int J Environ Health Res Journal subject: Environmental Health Year: 2022 Document Type: Article