气候变化领域集成服务门户(CCPortal): The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model

CCPortal

DOI	10.1016/j.envres.2022.112848
	The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model
	Wen, Chen; Akram, Rabia; Irfan, Muhammad; Iqbal, Wasim; Dagar, Vishal; Acevedo-Duqued, Angel; Saydaliev, Hayot Berk
发表日期	2022
ISSN	0013-9351
EISSN	1096-0953
卷号	209
英文摘要	The emergence of a new coronavirus (COVID-19) has become a major global concern that has damaged human health and disturbing environmental quality. Some researchers have identified a positive relationship between air pollution (fine particulate matter PM2.5) and COVID-19. Nonetheless, no inclusive investigation has comprehensively examined this relationship for a tropical climate such as India. This study aims to address this knowledge gap by investigating the nexus between air pollution and COVID-19 in the ten most affected Indian states using daily observations from 9th March to September 20, 2020. The study has used the newly developed Hidden Panel Cointegration test and Nonlinear Panel Autoregressive Distributed Lag (NPARDL) model for asymmetric analysis. Empirical results illustrate an asymmetric relationship between PM2.5 and COVID-19 cases. More precisely, a 1% change in the positive shocks of PM2.5 increases the COVID-19 cases by 0.439%. Besides, the estimates of individual states expose the heterogeneous effects of PM2.5 on COVID-19. The asymmetric causality test of Hatemi-J's (2011) also suggests that the positive shocks on PM2.5 Granger-cause positive shocks on COVID19 cases. Research findings indicate that air pollution is the root cause of this outbreak; thus, the government should recognize this channel and implement robust policy guidelines to control the spread of environmental pollution.
英文关键词	Asymmetric effects; Air pollution; PM2.5; COVID-19; Hidden panel cointegration; Non-linear panel ARDL
语种	英语
WOS研究方向	Environmental Sciences ; Public, Environmental & Occupational Health
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000751885900005
来源期刊	ENVIRONMENTAL RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280976
作者单位	Washington University (WUSTL); Guilin University of Electronic Technology; Beijing Institute of Technology; Beijing Institute of Technology; Shenzhen University; Universidad Autonoma de Chile; Tashkent State University of Economics; National University of Uzbekistan
推荐引用方式 GB/T 7714	Wen, Chen,Akram, Rabia,Irfan, Muhammad,et al. The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model[J],2022,209.
APA	Wen, Chen.,Akram, Rabia.,Irfan, Muhammad.,Iqbal, Wasim.,Dagar, Vishal.,...&Saydaliev, Hayot Berk.(2022).The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model.ENVIRONMENTAL RESEARCH,209.
MLA	Wen, Chen,et al."The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model".ENVIRONMENTAL RESEARCH 209(2022).