globalchange  > 气候减缓与适应
WOS记录号: WOS:000461678300361
论文题名:
Enterprise Supervision Research on Carbon Emission Based on Perfect Bayesian Equilibrium
作者: Wang, Xianjia1,2; Shen, Jing1
通讯作者: Shen, Jing
刊名: EKOLOJI
ISSN: 1300-1361
出版年: 2019
卷: 28, 期:107, 页码:3227-3234
语种: 英语
英文关键词: perfect Bayesian equilibrium ; carbon emission ; supervision
WOS关键词: ENVIRONMENTAL-REGULATIONS ; GAME-THEORY ; STABILIZATION ; POLICIES ; IMPACT ; TAXES
WOS学科分类: Ecology
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

With the prominence of global warming, national governments concentrate on carbon emission problems more and more and environmental regulations of governments have become the significant content of social regulations. Governments' supervision of carbon emission in order to realize low carbon emission reduction has become urgent affairs to relieve environmental pressure. This paper established a Bayes dynamic game model of government environment supervision authority and carbon emission enterprises. This paper introduced the monitoring system as the method of mastering enterprises' real time carbon emission for the first time and considered the situation of enterprises' disclosing their carbon information to avoid the examination of government authorities. From model analysis, this paper drew the conclusion that the accuracy of monitoring system and whether the enterprise announce its carbon information have great impact on the strategy choice of both sides in the game. The research results of this paper have great practical significance on improving carbon emission regulation policy, restraining over-emission and secret emission problems of enterprises and enhancing carbon emission regulation efficiency.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/125972
Appears in Collections:气候减缓与适应

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作者单位: 1.Wuhan Univ, Econ & Management Sch, Wuhan, Hubei, Peoples R China
2.Wuhan Univ, Inst Syst Engn, Wuhan, Hubei, Peoples R China

Recommended Citation:
Wang, Xianjia,Shen, Jing. Enterprise Supervision Research on Carbon Emission Based on Perfect Bayesian Equilibrium[J]. EKOLOJI,2019-01-01,28(107):3227-3234
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