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dc.contributor.authorWen, Chen
dc.contributor.authorAkram, Rabia
dc.contributor.authorIrfan, Muhammad
dc.contributor.authorIqbal, Wasim
dc.contributor.authorDagar, Vishal
dc.contributor.authorAcevedo-Duqued, Ángel
dc.contributor.authorSaydaliev, Hayot Berk
dc.date.accessioned2022-02-24T19:00:32Z
dc.date.available2022-02-24T19:00:32Z
dc.date.issued2022-06
dc.identifier10.1016/j.envres.2022.112848
dc.identifier.issn00139351
dc.identifier.urihttps://hdl.handle.net/20.500.12728/9930
dc.description.abstractThe 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.es_ES
dc.language.isoenes_ES
dc.publisherAcademic Press Inc.es_ES
dc.subjectAir pollutiones_ES
dc.subjectAsymmetric effectses_ES
dc.subjectCOVID-19es_ES
dc.subjectHidden panel cointegrationes_ES
dc.subjectNon-linear panel ARDLes_ES
dc.subjectPM2.5es_ES
dc.titleThe asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag modeles_ES
dc.typeArticlees_ES


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