Autori: Becchetti, Leonardo, Conzo, Pier Luigi, Salustri, Francesco, Conzo, Gianluigi
Titolo: Understanding the Heterogeneity of Covid-19 Deaths and Contagions: The Role of Air Pollution and Lockdown Decisions
Periodico: Università degli studi di Torino. Dip. Di Economia e Statistica Cognetti de Martiis. Working paper series
Anno: 2020 - Volume: 5 - Fascicolo: 14 - Pagina iniziale: 1 - Pagina finale: 54

he uneven geographical distribution of the novel coronavirus epidemic (COVID-19) in Italy is a puzzle given the intense flow of movements among the different geographical areas before lockdown decisions. To shed light on it, we test the effect of the quality of air (as measured by particulate matter and nitrogen dioxide) and lockdown restrictions on daily adverse COVID-19 outcomes at province level. We find that air pollution is positively correlated with adverse outcomes of the epidemic, withlockdown being strongly significant and more effective in reducing deceases in more polluted areas. Results are robust to different methods including cross-section, pooled and fixed-effect panel regressions (controlling for spatia correlation), instrumental variable regressions, and difference-in-differences estimates of lockdown decisions through predicted counterfactual trends. They are consistent with the consolidated body of literature in previous medical studies suggesting that poor quality of air creates chronic exposure to adverse outcomes from respiratory diseases. The estimated correlation does not change when accounting for other factors such as temperature, commuting flows, quality of regional health systems, share of public transport users, population density, the presence of Chinese community, and proxies for industry breakdown such as the share of small (artisan) firms. Our findings provide suggestions for investigating uneven geographical distribution patterns in other countries, and have implications for environmental and lockdown policies




Testo completo: https://www.est.unito.it/do/home.pl/Download?doc=/allegati/wp2020dip/wp_14_2020.pdf

Esportazione dati in Refworks (solo per utenti abilitati)