Influencing factors of environmental efficiency of strategic emerging industries and their power cooperation mechanism design

被引:14
|
作者
Xu, Shulin [1 ]
Zhu, Qingzhen [2 ]
Yang, Zhen [3 ]
机构
[1] Jinan Univ, Sch Econ, Guangzhou 510632, Peoples R China
[2] Jiangxi Normal Univ, Sch Finance, Nanchang 330022, Jiangxi, Peoples R China
[3] Dongbei Univ Finance & Econ, Sch Business Adm, 217 Jianshan St, Dalian 116025, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
SEIs; Environmental efficiency; Influencing factor; Evolutionary game; Numerical simulation; MULTILATERAL PRODUCTIVITY COMPARISONS; RESEARCH-AND-DEVELOPMENT; ENERGY EFFICIENCY; TECHNOLOGY INNOVATION; TECHNICAL EFFICIENCY; CHINA; PERFORMANCE; DEA; ECONOMIES; PROGRESS;
D O I
10.1007/s11356-022-23756-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We investigate the influencing factors of environmental efficiency of strategic emerging industries (SEIs) and cooperative game mechanism design amongst diversified actors by using China's provincial panel data from 2004 to 2019. Firstly, we find that the following factors improve the environmental efficiency of SEIs: rationalisation of the industrial structure, proportion of the tertiary industry, government's ability to intervene in the economy and fairness and integrity of environmental law enforcement. Conversely, factors, such as intensity of ecological construction and environmental regulation, hamper the environmental efficiency of SEIs. Secondly, evolutionary game analysis indicates that the behavioural strategies of game decision-making subjects depend on the behavioural decisions of the relative actors, social supervision and government regulation, which work together in influencing the environmental efficiency of SEIs. {innovation, supervision} is the optimal equilibrium state of the game. Thirdly, simulation results show that in the absence of government regulation, foreign direct investment (FDI) slows down the speed of firms tending to the equilibrium state of green innovation. The potential gain and loss of social supervision on corporate behaviour is an important factor affecting government behaviour decision making. Governments prefer punishment tools in environmental regulation, therefore influencing noninnovative firms in SEIs. We contribute to prior works by unifying various policy tools into the same econometric model framework based on an evolutionary game model.
引用
收藏
页码:10045 / 10070
页数:26
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