How does the fiscal pressure of local governments affect China's PM2.5 emissions?

被引:10
作者
Xu, Shengyan [1 ]
Zhou, Yuqin [2 ]
Sun, Wanchen [3 ]
机构
[1] Hohai Univ, Business Sch, Jinling North Rd 220, Changzhou 213000, Jiangsu, Peoples R China
[2] Yurun Grp, Yurun Rd 17, Nanjing 210041, Jiangsu, Peoples R China
[3] Univ Bristol, Business Sch, Beacon House,Queens Rd, Bristol BS1 3NX, England
关键词
Local government; Fiscal pressure; Air pollution; PM2; 5; GMM; PANEL-DATA; POLLUTION;
D O I
10.1007/s11356-023-27186-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Affected by the epidemic and other factors, the global economy is in a downturn, and countries around the world are under unprecedented debt pressure. How will this affect environmental protection? Taking China as an example, this paper empirically studies the impact of changes in local government behavior on urban air quality under fiscal pressure. This paper uses the generalized method of moments (GMM) to find that fiscal pressure has significantly reduced PM2.5 emissions, with a unit increase in fiscal pressure will increase PM2.5 by about 2%. The mechanism verification shows that three channels affect PM2.5 emissions: (1) fiscal pressure has prompted local governments to relax the supervision of existing pollution-intensive enterprises. (2) Local governments reduce environmental regulations for attracting more pollution-intensive enterprises. (3) Local governments tend to reduce environmental protection investment to save fiscal expenses. The paper's conclusions provide new policy ideas for promoting environmental protection in China, as well as served as a case for analyzing current changes in environmental protection in other countries.
引用
收藏
页码:69616 / 69627
页数:12
相关论文
共 45 条
[1]   SOME TESTS OF SPECIFICATION FOR PANEL DATA - MONTE-CARLO EVIDENCE AND AN APPLICATION TO EMPLOYMENT EQUATIONS [J].
ARELLANO, M ;
BOND, S .
REVIEW OF ECONOMIC STUDIES, 1991, 58 (02) :277-297
[2]   Initial conditions and moment restrictions in dynamic panel data models [J].
Blundell, R ;
Bond, S .
JOURNAL OF ECONOMETRICS, 1998, 87 (01) :115-143
[3]  
Cao C., 2014, China Economic Quarterly, V4, P1415, DOI DOI 10.13821/J.CNKI.CEQ.2014.04.008
[4]   Environmental political business cycles: the case of PM2.5 air pollution in Chinese prefectures [J].
Cao, Xun ;
Kostka, Genia ;
Xu, Xu .
ENVIRONMENTAL SCIENCE & POLICY, 2019, 93 :92-100
[5]  
Chen S., 2018, ERJ, V53, P20
[6]  
Chen S.Y., 2010, Economic Research Journal, V45, P129
[7]   Booster or Killer? Research on Undertaking Transferred Industries and Residents' Well-Being Improvements [J].
Ding, Xuhui ;
Chen, Yong ;
Li, Min ;
Liu, Narisu .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (22)
[8]   Does the new-type urbanization construction improve the efficiency of agricultural green water utilization in the Yangtze River Economic Belt? [J].
Ding, Xuhui ;
Cai, Zhongyao ;
Fu, Zhu .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (45) :64103-64112
[9]  
Fan Z., 2015, CHINA IND EC, V6, P18, DOI [10.19581/j.cnki.ciejournal.2015.06.003, DOI 10.19581/J.CNKI.CIEJOURNAL.2015.06.003]
[10]   Quantifying influences of administrative division adjustment on PM2.5 pollution in China's mega-urban agglomerations [J].
Feng, Rundong ;
Wang, Kaiyong ;
Wang, Fuyuan .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 302