Game modeling and policy research on the system dynamics-based tripartite evolution for government environmental regulation

被引:1
|
作者
Wei Duan
Changqing Li
Pei Zhang
Qing Chang
机构
[1] Inner Mongolia University of Technology,Chemical Engineering College
[2] Inner Mongolia University of Technology,Management College
来源
Cluster Computing | 2016年 / 19卷
关键词
System dynamic; Evolutionary game; Policy strategy; Environmental regulation;
D O I
暂无
中图分类号
学科分类号
摘要
Government regulation and policy strategies play very important roles in environmental pollution control. In this study on the evolutionary game theories and the relationship between the government, businesses, and the overall interests of society, we build two system dynamics-based tripartite evolutionary game models: a government environmental regulation-static punishment model and a dynamic punishment model. By factoring various policy strategies in the two models, including adjustments to the “Budget of pollution inspection”, “Reward for no pollution discharge”, “Enterprise production gain”, and “Punishment coefficient” and additional combinations of the adjustment schemes; this study observes the changes in the action and the data outputs of the two models. Finally, the operation of the two models under the same policy strategy is compared and analyzed. The results show that loss of integrated social benefit and the type of punishment mechanism will significantly impact the selection of the environmental regulation strategies. However, compared with a single strategy, a combination of policy strategies could work better in promoting the environmental regulatory model to achieve an “ideal state”.
引用
收藏
页码:2061 / 2074
页数:13
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