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Article: Air pollution and the airborne diseases: Evidence from China and Japan

TitleAir pollution and the airborne diseases: Evidence from China and Japan
Authors
He, GuojunPan, YuhangTanaka, Takanao
KeywordsAir pollution
Covid-19
Infectious disease
Influenza
Issue Date1-Mar-2025
PublisherElsevier
Citation
Journal of Environmental Economics and Management, 2025, v. 130 How to Cite?
DOI: http://dx.doi.org/10.1016/j.jeem.2025.103117
Abstract

This paper estimates the impact of ambient air pollution on the two most economically costly airborne respiratory diseases, COVID-19 and influenza. Our methods incorporate the epidemiological Susceptible-Infectious-Recovered-Deceased (SIRD) model to construct the outcome of interest, the Instrumental Variable (IV) model to establish causality, and the Flexible Distributed Lag (FDL) model to capture dynamic effects. Analyzing data from the first wave of the COVID-19 pandemic in China, we find that air pollution can significantly raise the daily growth rate of COVID-19. In contrast, air pollution shows small and statistically insignificant effects on influenza healthcare visits in Japan.


Persistent Identifierhttp://hdl.handle.net/10722/366406
ISSN
0095-0696
2023 Impact Factor: 5.5
2023 SCImago Journal Rankings: 2.813

 

DC FieldValueLanguage
dc.contributor.authorHe, Guojun-
dc.contributor.authorPan, Yuhang-
dc.contributor.authorTanaka, Takanao-
dc.date.accessioned2025-11-25T04:19:15Z-
dc.date.available2025-11-25T04:19:15Z-
dc.date.issued2025-03-01-
dc.identifier.citationJournal of Environmental Economics and Management, 2025, v. 130-
dc.identifier.issn0095-0696-
dc.identifier.urihttp://hdl.handle.net/10722/366406-
dc.description.abstract<p>This paper estimates the impact of ambient air pollution on the two most economically costly airborne respiratory diseases, COVID-19 and influenza. Our methods incorporate the epidemiological Susceptible-Infectious-Recovered-Deceased (SIRD) model to construct the outcome of interest, the Instrumental Variable (IV) model to establish causality, and the Flexible Distributed Lag (FDL) model to capture dynamic effects. Analyzing data from the first wave of the COVID-19 pandemic in China, we find that air pollution can significantly raise the daily growth rate of COVID-19. In contrast, air pollution shows small and statistically insignificant effects on influenza healthcare visits in Japan.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofJournal of Environmental Economics and Management-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAir pollution-
dc.subjectCovid-19-
dc.subjectInfectious disease-
dc.subjectInfluenza-
dc.titleAir pollution and the airborne diseases: Evidence from China and Japan-
dc.typeArticle-
dc.identifier.doi10.1016/j.jeem.2025.103117-
dc.identifier.scopuseid_2-s2.0-85215407126-
dc.identifier.volume130-
dc.identifier.eissn1096-0449-
dc.identifier.issnl0095-0696-

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