The Dynamic Evolution of Firms’ Pollution Control Strategy under Graded Reward-Penalty Mechanism
Joint Authors
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-03
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
The externality of pollution problem makes firms lack enough incentive to reduce pollution emission.
Therefore, it is necessary to design a reasonable environmental regulation mechanism so as to effectively urge firms to control pollution.
In order to inspire firms to control pollution, we divide firms into different grades according to their pollution level and construct an evolutionary game model to analyze the interaction between government’s regulation and firms’ pollution control under graded reward-penalty mechanism.
Then, we discuss stability of firms’ pollution control strategy and derive the condition of inspiring firms to control pollution.
Our findings indicate that firms tend to control pollution after long-term repeated games if government’s excitation level and monitoring frequency meet some conditions.
Otherwise, firms tend to discharge pollution that exceeds the stipulated standards.
As a result, in order to effectively control pollution, a government should adjust its excitation level and monitoring frequency reasonably.
American Psychological Association (APA)
Chen, Li Ming& Wang, Wen Ping. 2016. The Dynamic Evolution of Firms’ Pollution Control Strategy under Graded Reward-Penalty Mechanism. Discrete Dynamics in Nature and Society،Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1103577
Modern Language Association (MLA)
Chen, Li Ming& Wang, Wen Ping. The Dynamic Evolution of Firms’ Pollution Control Strategy under Graded Reward-Penalty Mechanism. Discrete Dynamics in Nature and Society No. 2016 (2016), pp.1-5.
https://search.emarefa.net/detail/BIM-1103577
American Medical Association (AMA)
Chen, Li Ming& Wang, Wen Ping. The Dynamic Evolution of Firms’ Pollution Control Strategy under Graded Reward-Penalty Mechanism. Discrete Dynamics in Nature and Society. 2016. Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1103577
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1103577