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Author:

Zhang, Q. (Zhang, Q..) | Mao, X. (Mao, X..) | Wang, Z. (Wang, Z..) | Tan, Y. (Tan, Y..) | Zhang, Z. (Zhang, Z..) | Wu, Y. (Wu, Y..) | Gao, Y. (Gao, Y..)

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Scopus SCIE

Abstract:

The emergency response to the COVID-19 pandemic had an extreme exogenous impact on society and the economy. This paper aims to explore the impacts of the national emergency response and the subsequent emergency response termination on air quality and its policy implications through regression discontinuity design (RDD) estimation by employing panel data on daily air quality from January 1, 2019, to July 31, 2020, for 290 cities in China. The empirical results showed that the emergency response resulted in a significant decrease in most of the major pollutant concentrations within a short time frame, and the average air quality index (AQI) decreased by approximately 11.0%. The concentrations of PM2.5, PM10, SO2, NO2, and CO decreased by approximately 18.8%, 13.1%, 13.5%, 11.1% and 6.7%, respectively, while the O3 concentration did not change significantly. Further causal analysis found that mandatory traffic restrictions and the shutdown of industries were two important factors that contributed greatly to air quality improvement. Moreover, since the process of returning to normal daily activities and promoting the economy were gradual, the results showed that air pollution did not rebound immediately after the government called for the “resumption of production and work” and announced the “termination of the emergency response”. Our findings suggest that to achieve a substantial and sustainable improvement in air quality, it is necessary to continuously implement strict emission control routines and take co-control measures for various VOCs precursors of ozone. © 2023 Elsevier Ltd

Keyword:

Air quality Regression discontinuity design COVID-19 Emergency response

Author Community:

  • [ 1 ] [Zhang Q.]School of Environment, Beijing Normal University, Beijing, 100875, China
  • [ 2 ] [Mao X.]School of Environment, Beijing Normal University, Beijing, 100875, China
  • [ 3 ] [Wang Z.]School of Economics and Management, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Tan Y.]School of Environment, Beijing Normal University, Beijing, 100875, China
  • [ 5 ] [Zhang Z.]Institute of Urban Meteorology, China Meteorological Administration, Beijing, 100089, China
  • [ 6 ] [Wu Y.]School of Environment, Beijing Normal University, Beijing, 100875, China
  • [ 7 ] [Gao Y.]School of Environment, Beijing Normal University, Beijing, 100875, China

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Source :

Environmental Science and Policy

ISSN: 1462-9011

Year: 2023

Volume: 145

Page: 50-59

6 . 0 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:17

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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