Evaluating the efficiency of industrial environmental regulation in China:A three-stage data envelopment analysis approach

被引:45
作者
Feng, Mei [1 ]
Li, Xinyi [1 ]
机构
[1] Univ Sci & Technol Beijing, Donlinks Sch Econ & Management, Beijing 100083, Peoples R China
关键词
Environmental regulation; Industrial sectors; Efficiency measurement; 3-Stage DEA; POLLUTION HAVEN HYPOTHESIS; TECHNOLOGICAL-INNOVATION; ECONOMIC-DEVELOPMENT; PORTER HYPOTHESIS; ECO-EFFICIENCY; KUZNETS CURVE; ENERGY; COMPETITIVENESS; PRODUCTIVITY; EMISSIONS;
D O I
10.1016/j.jclepro.2019.118535
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Environmental regulation is of great concern to international academics and policy makers. Previous studies often regarded environmental regulation as an influencing factor when calculating eco-efficiency or energy efficiency. More attention should be given to the efficiency of environmental regulation, especially in industrial field. According to exiting studies, industrial environmental regulation efficiency (IERE) may be influenced by external environmental factors, to explore the influence and obtain an actual efficiency, this paper calculated IERE in China by using the panel data of 30 regions from 2011 to 2015 (the 12th Five-Year Plan period) through the three-stage data envelopment analysis approach. Firstly, the Undesirable-slacks-based model method was used to calculate the original IERE. Secondly, the economic base, industrial structure, urbanization level, and education level were taken as external environmental variables, and the effect of external environmental factors and stochastic disturbance were excluded. Thirdly, the actual IERE can be calculated after adjusting input values. The results showed that China's IERE was underestimated due to the impact from external environmental factors. Moreover, the IERE was more influenced by pure technical efficiency than scale efficiency. The IERE of each region varied, thus, targeted policies should be formulated according to local conditions. This research provided a new analytical method for calculating environmental regulation efficiency. The method can be applied either in other countries or in other sectors. (c) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:13
相关论文
共 50 条
[21]   Energy efficiency measures in China: A three-stage DEA analysis [J].
Cai, Yu ;
Xiong, Siqin ;
Ma, Xiaoming .
3RD INTERNATIONAL CONFERENCE ON ENERGY MATERIALS AND ENVIRONMENT ENGINEERING, 2017, 61
[22]   Life-cycle data envelopment analysis to measure efficiency and cost-effectiveness of environmental regulation in China?s transport sector [J].
Yang, Fan ;
Choi, Yongrok ;
Lee, Hyoungsuk .
ECOLOGICAL INDICATORS, 2021, 126
[23]   A nonseparable undesirable output modified three-stage data envelopment analysis application for evaluation of agricultural green total factor productivity in China [J].
Liu, Shuai ;
Lei, Pengfei ;
Li, Xing ;
Li, Yafei .
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 838
[24]   Evaluating China's urban environmental sustainability with Data Envelopment Analysis [J].
Yu, Yan ;
Wen, Zongguo .
ECOLOGICAL ECONOMICS, 2010, 69 (09) :1748-1755
[25]   Environmental efficiency analysis of China's regional industry: a data envelopment analysis (DEA) based approach [J].
Chen, Liang ;
Jia, Guozhu .
JOURNAL OF CLEANER PRODUCTION, 2017, 142 :846-853
[26]   The Environmental Efficiency Analysis Based on the Three-Step Method for Two-Stage Data Envelopment Analysis [J].
Yan, Qingyou ;
Zhao, Fei ;
Wang, Xu ;
Balezentis, Tomas .
ENERGIES, 2021, 14 (21)
[27]   EVALUATING ECO-EFFICIENCY OF BEVERAGE PACKAGING MATERIALS: A DATA ENVELOPMENT ANALYSIS APPROACH [J].
Natasa, Petrovic B. ;
Gordana, Savic ;
Dusan, Andrijasevic ;
Milan, Stanojevic ;
Marko, Cirovic ;
Dragoslav, Slovic ;
Radakovic, Jelena Andreja .
FRESENIUS ENVIRONMENTAL BULLETIN, 2016, 25 (08) :2958-2963
[28]   The impact of environmental regulation on green investment efficiency of thermal power enterprises in China-based on a three-stage exogenous variable model [J].
Ren, Fang-rong ;
Wu, Tao-feng ;
Ren, Yang-jun ;
Liu, Xiao-yan ;
Yuan, Xiaomei .
SCIENTIFIC REPORTS, 2024, 14 (01)
[29]   Impact of environment regulation on the efficiency of regional construction industry: A 3-stage Data Envelopment Analysis (DEA) [J].
Zhang, Jingxiao ;
Li, Hui ;
Xia, Bo ;
Skitmore, Martin .
JOURNAL OF CLEANER PRODUCTION, 2018, 200 :770-780
[30]   Operational Efficiency of Chinese Provincial Electricity Grid Enterprises: An Evaluation Employing a Three-Stage Data Envelopment Analysis (DEA) Model [J].
Zhao, Haoran ;
Zhao, Huiru ;
Guo, Sen .
SUSTAINABILITY, 2018, 10 (09)