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Excess mortality and protected areas during the COVID-19 pandemic: Evidence from Italian municipalities.
Becchetti, Leonardo; Conzo, Gianluigi; Conzo, Pierluigi; Salustri, Francesco.
  • Becchetti L; Department of Economics and Finance, University of Rome "Tor Vergata", Italy.
  • Conzo G; Department of Economics and Finance, University of Rome "Tor Vergata", Italy.
  • Conzo P; Department of Economics and Statistics "Cognetti de Martiis", University of Turin & Collegio Carlo Alberto, Italy.
  • Salustri F; Department of Economics, Italy & Institute for Global Health, Roma Tre University, University College London, via Silvio D'Amico, 77, Rome 00145, UK. Electronic address: f.salustri@ucl.ac.uk.
Health Policy ; 126(12): 1269-1276, 2022 12.
Article in English | MEDLINE | ID: covidwho-2069027
ABSTRACT
There is widespread debate on the drivers of heterogeneity of adverse COVID-19 pandemic outcomes and, more specifically, on the role played by context-specific factors. We contribute to this literature by testing the role of environmental factors as measured by environmentally protected areas. We test our research hypothesis by showing that the difference between the number of daily deaths per 1,000 inhabitants in 2020 and the 2018-19 average during the pandemic period is significantly lower in Italian municipalities located in environmentally protected areas such as national parks, regional parks, or Environmentally Protected Zones. After controlling for fixed effects and various concurring factors, municipalities with higher share of environmentally protected areas show significantly lower mortality during the pandemic than municipalities that do not benefit from such environmental amenities.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: Health Policy Journal subject: Health Services Research / Public Health Year: 2022 Document Type: Article Affiliation country: J.healthpol.2022.10.005

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: Health Policy Journal subject: Health Services Research / Public Health Year: 2022 Document Type: Article Affiliation country: J.healthpol.2022.10.005