Evolutionary game analysis for third-party governance of environmental pollution

污染 业务 环境经济学 环境治理
作者
Ran Xu,Yanrong Wang,Wenbin Wang,Yongxin Ding
出处
期刊:Journal of Ambient Intelligence and Humanized Computing [Springer Nature]
卷期号:10 (8): 3143-3154 被引量:17
标识
DOI:10.1007/s12652-018-1034-6
摘要

Environmental pollution in China presents complex features include regional, agglomeration, periodicity, diversity and multiple. The government-led environmental pollution control mode has been unable to adapt to the current grim situation, so the inevitable trend of the development of Chinese environmental pollution governance system is the third-party governance with diversified participation. The tripartite evolutionary game model is built, including the governments, environmental services companies and pollutant discharging enterprise, and the key factors affecting the dynamic evolution of game equilibrium are explored. Then, the effects of third-party governance punishment strategy of environmental pollution under multiple scenarios and the stable equilibrium points are also discussed. Results are show as follow: (1) the “public-private-partnership” mode is the key point to increase the environmental public interest in the process of achieving economic benefits; (2) The government can not only take punishment as the main regulatory measures, but also need to establish a contractual “public and private” governance system. At the same time, government should establish governance authority and fulfill the roles and responsibilities of the coordinator, guider and supervisor; (3) the implementation of government supervision must be combined with Chinese economic and society development and environmental pollution, and guided by marketization, legalization, specialization, and industrialization. According to the degree of perfection of the system of third-party governance of environmental pollution, the penalties for illegal actions are dynamically adjusted in time. It is necessary to push the choice of “private subject” to public rationality, so as to guide environmental pollution control to Chinese good governance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
果果瑞宁完成签到,获得积分10
刚刚
1秒前
机智小虾米完成签到,获得积分20
1秒前
goldenfleece完成签到,获得积分10
2秒前
科研通AI2S应助学者采纳,获得10
2秒前
小杨完成签到,获得积分10
3秒前
sutharsons应助科研通管家采纳,获得30
4秒前
4秒前
Ava应助科研通管家采纳,获得10
4秒前
慕青应助科研通管家采纳,获得10
4秒前
所所应助科研通管家采纳,获得10
4秒前
在水一方应助科研通管家采纳,获得10
4秒前
小蘑菇应助科研通管家采纳,获得10
4秒前
科研通AI5应助科研通管家采纳,获得30
4秒前
传奇3应助科研通管家采纳,获得10
4秒前
科目三应助科研通管家采纳,获得10
4秒前
NexusExplorer应助科研通管家采纳,获得10
4秒前
CipherSage应助科研通管家采纳,获得30
4秒前
SciGPT应助科研通管家采纳,获得10
4秒前
Eric_Lee2000应助科研通管家采纳,获得10
4秒前
斯文败类应助科研通管家采纳,获得10
4秒前
4秒前
王子完成签到,获得积分10
5秒前
李繁蕊发布了新的文献求助10
6秒前
诚心的大碗应助明理念桃采纳,获得20
6秒前
7秒前
meng完成签到,获得积分10
7秒前
学者完成签到,获得积分10
7秒前
英俊的铭应助愉快盼曼采纳,获得10
8秒前
8秒前
小媛完成签到 ,获得积分10
9秒前
学术小白完成签到,获得积分20
9秒前
赘婿应助xiaomeng采纳,获得10
9秒前
Khr1stINK发布了新的文献求助10
9秒前
清新的苑博完成签到,获得积分10
9秒前
10秒前
果果瑞宁发布了新的文献求助10
11秒前
阿美发布了新的文献求助30
13秒前
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527961
求助须知:如何正确求助?哪些是违规求助? 3108159
关于积分的说明 9287825
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716926
科研通“疑难数据库(出版商)”最低求助积分说明 709808