Explore emission reduction strategy and evolutionary mechanism under central environmental protection inspection system for multi-agent based on evolutionary game theory

被引:34
作者
Chong, Dashuang [1 ]
Sun, Na [1 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Business, Shanghai 200093, Peoples R China
基金
中国国家自然科学基金;
关键词
Environmental regulation; Central environmental protection inspection; Evolutionary game; Stability; FISCAL DECENTRALIZATION; EMPIRICAL-ANALYSIS; CHINA; INNOVATION; DIFFUSION; ECONOMICS; DYNAMICS; POLICIES; MODEL;
D O I
10.1016/j.comcom.2020.02.086
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In response to the deteriorating environmental pollution, China has formulated a series of environmental regulation policies. However, political centralization and economic decentralization have subjected the local governments (LGs) to the dual constraints of environmental protection and economic development during the implementation of environmental regulation, which has resulted in the failure of conventional environmental regulation. To this end, the central government (CG) has established a central environmental protection inspection system (CEPIS). However, the existing literature has insufficiently studied the role and policy tools of the CG for inspecting the LGs and the polluting enterprises (PEs) to implement environmental regulation, and lacked systematic analysis of the strategic interactions and policy effects caused by CEPIS. Evolutionary game theory (EGT) provides a powerful tool with which to unpack the interactive strategies of Multi-Agent in China. By exploring the evolution of different participants' behavior and their evolutionary stable strategy (ESS), EGT enables a robust, quantitative analysis of this three-party game. Simultaneously, some numerical examples serve to verify the theoretical results and support four key insights. First, the selection of environmental strategies manifests in a dynamic process of constant adjustment and optimization. Second, the whole evolutionary game system can converge on an ideal state under certain conditions. Third, increasing the investments in the special transfer payments of environmental protection, expanding the scale of emissions trading market, and improving the emission reduction benefits can motivate the PEs to reduce their emissions and the LGs to perform their duties. Fourth, in some scenarios, simply increasing the political penalties for the LGs fails to motivate the LGs to perform their duties. This research can provide the evolutionary mechanism and broaden our understanding of relationship between environmental regulation and emission reduction strategies. Related implications are finally proposed, which can offer valuable guidance on reforming the environmental regulation and improve market outcomes in China.
引用
收藏
页码:77 / 90
页数:14
相关论文
共 46 条
  • [21] PATENTING OR SECRET? THE INTERACTION BETWEEN LEADING FIRMS AND FOLLOWING FIRMS BASED ON EVOLUTIONARY GAME THEORY AND MULTI-AGENT SIMULATION
    Zhao, Xiaoyang
    INTERNATIONAL JOURNAL OF INNOVATION MANAGEMENT, 2019, 23 (07)
  • [22] Evolutionary Game Strategies Analysis of Economic Development and Environmental Protection between Local Governments under Central Supervision Mechanism in China
    Wang, Lin
    Pan, Feng
    Li, Yingjie
    SUSTAINABILITY, 2022, 14 (19)
  • [23] Study on Multi-Agent Evolutionary Game of Emergency Management of Public Health Emergencies Based on Dynamic Rewards and Punishments
    Fan, Ruguo
    Wang, Yibo
    Lin, Jinchai
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (16)
  • [24] A single-task and multi-decision evolutionary game model based on multi-agent reinforcement learning
    MA Ye
    CHANG Tianqing
    FAN Wenhui
    Journal of Systems Engineering and Electronics, 2021, 32 (03) : 642 - 657
  • [25] A single-task and multi-decision evolutionary game model based on multi-agent reinforcement learning
    Ma Ye
    Chang Tianqing
    Fan Wenhui
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2021, 32 (03) : 642 - 657
  • [26] An evolutionary game-based simulation study of a multi-agent governance system for smart senior care services in China
    Qiannan Shi
    Shumian Yang
    Na Wang
    Shu-e Zhang
    Yanping Wang
    Bing Wu
    Xinyuan Lu
    Yining She
    Zhihao Yue
    Lei Gao
    Zhong Zhang
    BMC Geriatrics, 23
  • [27] Impact of three carbon emission reduction policies on carbon verification behavior: An analysis based on evolutionary game theory
    Wu, Xiaoping
    Liu, Peng
    Yang, Lin
    Shi, Zhuangfei
    Lao, Yongshuai
    ENERGY, 2024, 295
  • [28] Urban food waste management with multi-agent participation: A combination of evolutionary game and system dynamics approach
    Zhu, Chaoping
    Fan, Ruguo
    Luo, Ming
    Lin, Jinchai
    Zhang, Yingqing
    JOURNAL OF CLEANER PRODUCTION, 2020, 275
  • [29] Implementation of Construction Waste Recycling under Construction Sustainability Incentives: A Multi-Agent Stochastic Evolutionary Game Approach
    Sun, Ying
    Gu, Zhaolin
    SUSTAINABILITY, 2022, 14 (06)
  • [30] Tackling China's local environmental policy implementation gap: An evolutionary game analysis of China's environmental protection inspection system
    Guo, Shihong
    JOURNAL OF CLEANER PRODUCTION, 2023, 416