文献类型：期刊文献

英文题名：Exploring PM2.5 Environmental Efficiency and Its Influencing Factors in China

作者：Ma, Dongdong[1];Li, Guifang[2];He, Feng[3]

第一作者：Ma, Dongdong

通讯作者：Li, GF[1];He, F[2]

机构：[1]Henan Univ Econ & Law, Sch Econ, Zhengzhou 450046, Peoples R China;[2]Henan Agr Univ, Inst Econ & Management, Zhengzhou 450046, Peoples R China;[3]Univ Sci & Technol Beijing, Sch Econ & Management, Beijing 100083, Peoples R China

第一机构：河南财经政法大学经济学院

通讯机构：[1]corresponding author), Henan Agr Univ, Inst Econ & Management, Zhengzhou 450046, Peoples R China;[2]corresponding author), Univ Sci & Technol Beijing, Sch Econ & Management, Beijing 100083, Peoples R China.

年份：2021

卷号：18

期号：22

外文期刊名：INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

收录：;Scopus(收录号：2-s2.0-85119336231);WOS:【SSCI(收录号:WOS:000724103400001)，SCI-EXPANDED(收录号:WOS:000724103400001)】；

基金：This research was funded by the Youth Project of Humanities and Social Sciences of Ministry of Education in China (No.20YJCZH118), the Project of Philosophy and Social Science Planning in Henan Province (Project No.2019CZH008), the General Project of Humanities and Social Sciences Research in Henan Province (Project No.2022-ZZJH-279), the project of National Natural Science Foundation of China (Project No.71673022, 71704010).

语种：英文

外文关键词：PM2.5 pollution; environmental efficiency; SBM-Undesirable-VRS model; environmental regulations; environmental Kuznets curve; pollution haven

摘要：In China, air pollution, especially fine particulate matter (PM2.5) pollution, has become increasingly serious with the rapid economic growth that has occurred over the past 40 years. This paper aims to introduce PM2.5 pollution as a constraint in the environmental efficiency research framework through the use of panel data covering the Chinese provinces from 2001-2018. PM2.5 environmental efficiency is measured with the slack-based measure (SBM)-Undesirable-variable returns-to-scale (VRS) model, and the results show that the average PM2.5 environmental efficiency score is 0.702, which indicates inefficiency, and is U-shaped over time. The PM2.5 environmental efficiency scores are unbalanced across the eight regions and 30 provinces of China. Additionally, the relationship between PM2.5 environmental efficiency and its influencing factors is examined with a tobit model, and the empirical findings indicate that the relationship between economic development and PM2.5 environmental efficiency is an inverted U, which is the opposite of the traditional environmental Kuznets curve (EKC). In addition, technological innovation, trade dependency, and regional development each have a significantly positive effect on PM2.5 environmental efficiency. However, environmental regulations, the industrial structure, and population density have significantly negative effects on PM2.5 environmental efficiency. Finally, this paper fails to prove that foreign direct investment (FDI) has created a PM2.5 "pollution haven " in China.