详细信息

Administrative hierarchy, city characteristics and impacts of the Clean Air Act: A quasi-experimental study on PM2.5 pollution in China 2000-2020  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Administrative hierarchy, city characteristics and impacts of the Clean Air Act: A quasi-experimental study on PM2.5 pollution in China 2000-2020

作者:Hu, Kai[1];He, Qingqing[2]

机构:[1]East China Univ Sci & Technol, Sch Social & Publ Adm, Dept Sociol, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Wuhan Univ Technol, Sch Resource & Environm Engn, Wuhan 430070, Peoples R China

年份:2023

卷号:49

外文期刊名:URBAN CLIMATE

收录:;WOS:【SCI-EXPANDED(收录号:WOS:000940951800001)】;

基金:This study is supported by the National Natural Science Foundation of China (Grant NO. 41901324) .This study is supported by the National Natural Science Foundation of China (Grant NO. 41901324) .

语种:英文

外文关键词:Clean Air Act; PM 2; 5 pollution; Administrative hierarchy; City characteristics; Difference-in-Difference

摘要:Most existing research has assessed and confirmed the impacts of environmental regulations on pollution emissions, while few has investigated the role of city characteristics (e.g., political, economic, temporal, or geographic factors) in the relationship between environmental policies and air pollution. To fill the gap, this study used a quasi-experimental design (difference-in -dif-ference, DID) with high-spatiotemporal-resolution PM2.5 data to explore the role of administrative hierarchy and city characteristics in the impacts of the Clean Air Act (CAA) on PM2.5 pollution in China. The empirical results for 2811 counties from 297 cities during the period from 2000 to 2020 show that PM2.5 pollution has a significant reduction after implementing the CAA (-14.36, 95% Confidence Interval (CI):-14.67,-14.06), and the impacts of the CAA on PM2.5 reduction are much stronger in non-capital cities (low hierarchy) than capital cities (high hierarchy). Our further analyses indicate that among various city-characteristics indicators (e.g., geographical locations, seasonality, population size, and green space) can significantly influence the impacts of the CAA on PM2.5 reduction. The diverse impacts of the CAA also suggest that the Chinese po-litical system and urbanisation might compromise the uniform impacts of environmental policies. Future research is necessary to clarify the heterogeneous effects of the CAA on PM2.5 pollution by collecting more information on city characteristics and environmental policies.

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