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The Impact of COVID-19 Restrictions on Air Quality- Based on Seven Cities in China

Chen, Cheng LU (2021) NEKN06 20211
Department of Economics
Abstract
Many researchers have studied the impact of the COVID-19 restrictions. However, in terms of the air quality impact, few studies have done so for specific cities. In this study, seven cities in China under the first stage of transmission prevention have been selected. The air quality standard indicators discussed are NO2 (Nitrogen dioxide), PM2.5 (fine particulate matter), and AQI (Air Quality Index). To find the causal inference, this study employed the fixed effect model and regression discontinuity in time design while using the high-frequency dataset around the policy date of each city. According to the policy-driven bandwidth for each city, the findings showed that NO2 in every city decreased significantly. In contrast, 2 of 7 cities... (More)
Many researchers have studied the impact of the COVID-19 restrictions. However, in terms of the air quality impact, few studies have done so for specific cities. In this study, seven cities in China under the first stage of transmission prevention have been selected. The air quality standard indicators discussed are NO2 (Nitrogen dioxide), PM2.5 (fine particulate matter), and AQI (Air Quality Index). To find the causal inference, this study employed the fixed effect model and regression discontinuity in time design while using the high-frequency dataset around the policy date of each city. According to the policy-driven bandwidth for each city, the findings showed that NO2 in every city decreased significantly. In contrast, 2 of 7 cities and 1 of 7 cities did not provide significant results in PM2.5 and AQI respectively. The results are robust after various checks. This study confirmed the conclusions in the previous studies that the COVID-19 restrictions improved the ambient air quality. (Less)
Please use this url to cite or link to this publication:
author
Chen, Cheng LU
supervisor
organization
course
NEKN06 20211
year
type
H2 - Master's Degree (Two Years)
subject
keywords
COVID-19, air quality, fixed effect model, regression discontinuity
language
English
id
9051079
date added to LUP
2021-07-05 13:23:57
date last changed
2021-07-05 13:23:57
@misc{9051079,
  abstract     = {{Many researchers have studied the impact of the COVID-19 restrictions. However, in terms of the air quality impact, few studies have done so for specific cities. In this study, seven cities in China under the first stage of transmission prevention have been selected. The air quality standard indicators discussed are NO2 (Nitrogen dioxide), PM2.5 (fine particulate matter), and AQI (Air Quality Index). To find the causal inference, this study employed the fixed effect model and regression discontinuity in time design while using the high-frequency dataset around the policy date of each city. According to the policy-driven bandwidth for each city, the findings showed that NO2 in every city decreased significantly. In contrast, 2 of 7 cities and 1 of 7 cities did not provide significant results in PM2.5 and AQI respectively. The results are robust after various checks. This study confirmed the conclusions in the previous studies that the COVID-19 restrictions improved the ambient air quality.}},
  author       = {{Chen, Cheng}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{The Impact of COVID-19 Restrictions on Air Quality- Based on Seven Cities in China}},
  year         = {{2021}},
}