Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/216656 
Year of Publication: 
2020
Series/Report no.: 
MAGKS Joint Discussion Paper Series in Economics No. 16-2020
Publisher: 
Philipps-University Marburg, School of Business and Economics, Marburg
Abstract: 
The new Coronavirus pandemic has extensive negative socioeconomic impacts. However, its effects on climate change and in particular air pollution, at least at the beginning of the outbreak, is not clear. Fear of getting the Coronavirus in crowded public spaces increased the use of personal cars, while prevention policies that seek to decrease population movement reduced their usage. This paper investigates the relationship between the outbreak of COVID-19, measured by the number of infected cases, and air pollution, measured by PM2.5, in 31 Iranian provinces over the 19 February 2020 to 11 March 2020 period. We employ a panel vector autoregressive (PVAR) approach along with impulse response functions (IRFs), variance decomposition, and Granger causality tests. The analysis shows negative responses of the PM pollution to positive shock in COVID-19 cases in Iran.
Subjects: 
COVID-19
Iran
panel vector autoregressive model
air pollution.
JEL: 
I18
Q53
Document Type: 
Working Paper

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