ORIGINAL RESEARCH
Impact of Industrial Agglomeration in Heavily
Polluting Industries on Environmental
Performance Based on DEA-SBM and Location
Quotient in China
More details
Hide details
1
Department of Economics and Management, North China Electric Power University, Baoding, Hebei, 071003, China
Submission date: 2021-10-22
Final revision date: 2022-02-05
Acceptance date: 2022-02-07
Online publication date: 2022-05-05
Publication date: 2022-06-20
Corresponding author
Zhibin Liu
Department of Economics and Management, North China Electric Power University, China
Pol. J. Environ. Stud. 2022;31(4):3207-3220
KEYWORDS
TOPICS
ABSTRACT
With the growth of China’s economy, environmental pollution has become more serious. Heavy
polluting industries received more attention due to their high pollution and high-energy production
methods. This paper studied the impact of industrial agglomeration of heavily polluting industries
on the environmental performance, which can help realize the sustainable development of China’s
economy and environment. In this paper, the employment number of heavily polluting industries
in 30 provinces from 2013 to 2017 was selected, and the location quotient method was used to
measure the industrial agglomeration of the heavily polluting industries. For the explained variable,
environmental performance, this paper used the DEA-SBM method and selected an inseparable
undesired output model to measure. In addition, the panel data were chosen for descriptive analysis, and
the Z-score method was used to standardize the data. Then the correlation analysis and multiple linear
regression analysis were conducted on the standardized data, mainly to study the impact of industrial
agglomeration of heavily polluting industries on provincial environmental performance. Research
results showed that the agglomeration degree of heavily polluting industries has a U-shaped influence
on environmental performance. Finally, this paper proposed viable suggestions from three aspects:
government, society, and industry.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
CITATIONS (5):
1.
Analysis of spatiotemporal evolution characteristics and driving mechanisms of provincial high-quality development in China’s eastern, central, and western regions
Shijia Xu, Wei Zhang, Lili Zhang, Yidong Wang, Qiang Li, Shufang Wang, Bin Wang, Xinyue Liu
GeoJournal
2.
Optimization of closed-loop heat pump drying systems using response surface methodology-based location quotient
Yongchang Zhou, Peng Li, Changjian Zhang, Yongbiao Wan, Jinghui Luo, Wenshan Yuan, Zhao Wang
Case Studies in Thermal Engineering
3.
The Interaction Mechanism of Fiscal Pressure, Local Government Behavioral Preferences and Environmental Governance Efficiency: Evidence from the Yangtze River Delta Region of China
Tinghui Wang, Qi Fu, Yue Wang, Mengfan Gao, Jinhua Chen
International Journal of Environmental Research and Public Health
4.
RETRACTED ARTICLE: Enhancing Producer Service Distribution through High-Speed Railways: A Knowledge Economy Perspective
Yanpeng Gou
Journal of the Knowledge Economy
5.
Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction
Satoshi Honma, Yoshiaki Ushifusa, Soyoka Okamura, Lilu Vandercamme
Resources Policy