Arbeitspapier

COVID-19 Outbreak and Air Pollution in Iran: A Panel VAR Analysis

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.

Language
Englisch

Bibliographic citation
Series: MAGKS Joint Discussion Paper Series in Economics ; No. 16-2020

Classification
Wirtschaft
Health: Government Policy; Regulation; Public Health
Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
Subject
COVID-19
Iran
panel vector autoregressive model
air pollution.

Event
Geistige Schöpfung
(who)
Asna-ashary, Mozhgan
Farzanegan, Mohammad Reza
Feizi, Mehdi
Sadati, Saeed Malek
Event
Veröffentlichung
(who)
Philipps-University Marburg, School of Business and Economics
(where)
Marburg
(when)
2020

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Asna-ashary, Mozhgan
  • Farzanegan, Mohammad Reza
  • Feizi, Mehdi
  • Sadati, Saeed Malek
  • Philipps-University Marburg, School of Business and Economics

Time of origin

  • 2020

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