Analysis of industrial eco-efficiency and its influencing factors in China

被引:28
|
作者
Zhou, Yong [1 ,2 ]
Liu, Zhiying [1 ]
Liu, Shidong [3 ]
Chen, Mingchun [4 ]
Zhang, Xiaolu [2 ]
Wang, Yong [2 ]
机构
[1] Univ Sci & Technol China, Sch Management, Hefei 230026, Peoples R China
[2] Anhui Inst Ind & Informat Technol, Econ & Informat Technol Dept Anhui, Hefei 230000, Peoples R China
[3] Anhui Univ Finance & Econ, Inst Econ, Bengbu 233030, Peoples R China
[4] Shenwan Hongyuan Secur Co Ltd, 171 Changshu Rd, Shanghai 200031, Peoples R China
关键词
Eco-efficiency; Industrial heterogeneity; DEA model; Capital intensity; Environmental economics; ENERGY EFFICIENCY; SECTOR EVIDENCE; PRODUCTIVITY;
D O I
10.1007/s10098-020-01943-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Industry is the largest sector for energy consumption and pollution emissions in China. Thus, improving industrial eco-efficiency is necessary for China to achieve sustainable development. Based on panel data from 31 industrial sectors from 2001 to 2015, a three-stage data envelopment analysis model was used to empirically explore industrial eco-efficiency and its influencing factors from the perspective of industrial heterogeneity. The results show that the overall level of industrial eco-efficiency in China is not high, first declining and then rising during the study period. Low eco-efficiency was mainly due to low scale efficiency. After removing the influences of external environmental factors and noise, industry profit rates, ownership structures, and foreign direct investments were all significantly and positively correlated with eco-efficiency. Environmental regulations were significantly and negatively correlated, while the intensity of research and development exhibited no linear relationship. Industrial heterogeneity significantly affects eco-efficiency. Capital-intensive industries had the highest eco-efficiencies, followed by resource-intensive industries and labor-intensive industries, respectively. [GRAPHICS] .
引用
收藏
页码:2023 / 2038
页数:16
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