The impact of foreign direct investment on urban PM2.5 pollution in China

被引:122
作者
Cheng, Zhonghua [1 ,2 ,3 ]
Li, Lianshui [1 ,2 ]
Liu, Jun [1 ,2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, China Inst Mfg Dev, Nanjing 210044, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Reading Acad, Nanjing 210044, Peoples R China
基金
中国国家自然科学基金;
关键词
Foreign direct investment; PM2.5; Spatial autocorrelation; Spatial spillover effect; Dynamic spatial panel; ECONOMIC-GROWTH; ENERGY-CONSUMPTION; CO2; EMISSIONS; PANEL; FDI;
D O I
10.1016/j.jenvman.2020.110532
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The hypothesis of "Pollution Heaven" or "Pollution Halo" has, for some time, been one of the central issues in environmental economics. There is a controversy in the conclusions with regards to China, it thus needs further empirical testing. Based on 2003 to 2016 statistical data on 285 Chinese cities, this paper uses a dynamic spatial panel model to empirically analyze the impact of foreign direct investment (FDI) on PM2.5 pollution. The results demonstrate that urban PM2.5 pollution shows both significant global spatial autocorrelation and local spatial agglomeration effects. Overall, FDI significantly aggravates China's urban PM2.5 pollution, thus confirming the "Pollution Heaven" hypothesis. This effect, however, depends on the stage of urban economic development. Although FDI has no significant effect on urban PM2.5 pollution in the initial stage of industrialization, it does aggravate urban PM2.5 pollution in the midterm stage. In the later period of industrialization, FDI actually improves urban PM2.5 pollution, but the effect of this improvement is relatively weak. Furthermore, PM2.5 pollution shows significant spatial spillover and dynamic effects. It follows that both joint prevention and control and continuous efforts must be made to control PM2.5 pollution.
引用
收藏
页数:13
相关论文
共 69 条
[61]  
Yoon J, 2016, INT CONF IT CONVERGE, P22
[62]   Does foreign direct investment lead to lower CO2 emissions? Evidence from a regional analysis in China [J].
Zhang, Chuanguo ;
Zhou, Xiangxue .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 58 :943-951
[63]   Air pollution and its influential factors in China's hot spots [J].
Zhao, Danting ;
Chen, Hong ;
Li, Xuedong ;
Ma, Xiaotong .
JOURNAL OF CLEANER PRODUCTION, 2018, 185 :619-627
[64]  
ZHAO JX, 2017, J CLEAN PROD, P158
[65]   Identifying the determinants and spatial nexus of provincial carbon intensity in China: a dynamic spatial panel approach [J].
Zheng, Xinye ;
Yu, Yihua ;
Wang, Jing ;
Deng, Huihui .
REGIONAL ENVIRONMENTAL CHANGE, 2014, 14 (04) :1651-1661
[66]   Examining the effects of socioeconomic development on fine particulate matter (PM2.5) in China's cities using spatial regression and the geographical detector technique [J].
Zhou, Chunshan ;
Chen, Jing ;
Wang, Shaojian .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 619 :436-445
[67]   The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression [J].
Zhu, Huiming ;
Duan, Lijun ;
Guo, Yawei ;
Yu, Keming .
ECONOMIC MODELLING, 2016, 58 :237-248
[68]   The impact of foreign direct investment on SO2 emissions in the Beijing-Tianjin-Hebei region: A spatial econometric analysis [J].
Zhu, Lin ;
Gan, Qingmei ;
Liu, Yan ;
Yan, Zhijun .
JOURNAL OF CLEANER PRODUCTION, 2017, 166 :189-196
[69]   How does Foreign Direct Investment Affect Pollution? Toward a Better Understanding of the Direct and Conditional Effects [J].
Zugravu-Soilita, Natalia .
ENVIRONMENTAL & RESOURCE ECONOMICS, 2017, 66 (02) :293-338