Graduate School of Economics, Kyoto University, Yoshidahonmachi, Sakyo Ward, Kyoto 606-8501, Japan.
School of Business, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China.
Int J Environ Res Public Health. 2021 Mar 25;18(7):3404. doi: 10.3390/ijerph18073404.
The novel coronavirus (COVID-19) pandemic has provided a distinct opportunity to explore the mechanisms by which human activities affect air quality and pollution emissions. We conduct a quasi-difference-in-differences (DID) analysis of the impacts of lockdown measures on air pollution during the first wave of the COVID-19 pandemic in China. Our study covers 367 cities from the beginning of the lockdown on 23 January 2020 until April 22, two weeks after the lockdown in the epicenter was lifted. Static and dynamic analysis of the average treatment effects on the treated is conducted for the air quality index (AQI) and six criteria pollutants. The results indicate that, first, on average, the AQI decreased by about 7%. However, it was still over the threshold set by the World Health Organization. Second, we detect heterogeneous changes in the level of different pollutants, which suggests heterogeneous impacts of the lockdown on human activities: carbon monoxide (CO) had the biggest drop, about 30%, and nitrogen dioxide (NO) had the second-biggest drop, 20%. In contrast, ozone (O) increased by 3.74% due to the changes in the NO/VOCs caused by the decrease in NO, the decrease of O titration, and particulate matter concentration. Third, air pollution levels rebounded immediately after the number of infections dropped, which indicates a swift recovery of human activities. This study provides insights into the implementation of environmental policies in China and other developing countries.
新型冠状病毒(COVID-19)大流行提供了一个独特的机会,可以探索人类活动影响空气质量和污染排放的机制。我们对中国 COVID-19 大流行第一波期间封锁措施对空气污染的影响进行了拟准差分(DID)分析。我们的研究涵盖了 2020 年 1 月 23 日封锁开始至 4 月 22 日(中心城市封锁解除两周后)的 367 个城市。我们对空气质量指数(AQI)和六种污染物进行了静态和动态的处理效应平均分析。结果表明,首先,平均而言,AQI 下降了约 7%。然而,它仍高于世界卫生组织设定的阈值。其次,我们检测到不同污染物水平的异质变化,这表明封锁对人类活动的影响存在异质性:一氧化碳(CO)下降幅度最大,约为 30%,二氧化氮(NO)下降幅度次之,为 20%。相比之下,由于 NO 的减少导致的 NO/VOCs 变化、O 的滴定减少以及颗粒物浓度的增加,臭氧(O)增加了 3.74%。第三,感染人数下降后,空气污染水平立即反弹,这表明人类活动迅速恢复。本研究为中国和其他发展中国家实施环境政策提供了一些启示。