Evolutionary Game Analysis of Enterprise's Behavior of Carbon Reduction

Author(s):  
Guoxing Zhang ◽  
Peng Liu ◽  
Jianpeng Zhou
2021 ◽  
Author(s):  
Guochang Fang ◽  
Yu He ◽  
Lixin Tian

Abstract This paper explores the evolutionary game of government and enterprises carbon-reduction with public willingness constraints. On the basis of the features of government and enterprises in energy saving and emission reduction system, the novel evolutionary game model is constructed. The effects of behavioral strategy and willingness constraint strength are visualized by system dynamics theory. With the aid of these visual indicators, the varying dynamic evolution path under different situations is put forward. The economic interpretation of evolutionary stable strategies is discussed. The results show that, public willingness can promote government-enterprise to achieve the optimal state (action, carbon-reduction) spontaneously. The initial willingness can speed up the convergence rate of these two players’ behaviors. The residents’ willingness further restrains the behaviors of government and enterprises, which can eliminate the possibility of adopting passive strategies and reduce the lag of strategies for both parties.


Author(s):  
Hua Li ◽  
Qingqing Lou ◽  
Qiubai Sun ◽  
Bowen Li

In order to solve the conflict of interests of institutional investors, this paper uses evolutionary game model. From the point of view of information sharing, this paper discusses four different situations. Only when the sum of risk and cost is less than the penalty of free riding, the evolution of institutional investors will eventually incline to the stable state of information sharing. That is, the phenomenon of hugging. The research shows that the institutional investors are not independent of each other, but the relationship network of institutional investors for the purpose of information exchange. The content of this paper enriches the research on information sharing of institutional investors.


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