scholarly journals Evolutionary Game Analysis of Government and Enterprises Carbon-Reduction based on Public Willingness

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.

2019 ◽  
Vol 11 (19) ◽  
pp. 5319 ◽  
Author(s):  
Chanchan Hao ◽  
Qiang Du ◽  
Youdan Huang ◽  
Long Shao ◽  
Yunqing Yan

With the increasingly fierce global competition, supply chain members have to collaborate to respond to constant changes. Efficient knowledge sharing is the basis for the collaborative operation of the supply chain. Combined with evolutionary game theory, this paper studies the evolution path and stable strategies of knowledge-sharing behavior between construction supply chain enterprises, analyzing the factors that influence the establishment of a knowledge-sharing alliance. A numerical simulation is conducted to verify theoretical results and the effects of parameter adjustments on behavioral evolution. The results indicate that under different income relationships, knowledge-sharing behavior in construction supply chains presents different evolutionary trajectories. In addition, the probability of accepting the sharing strategy is positively correlated with the penalty coefficient, incentive coefficient, trust level, and synergy coefficient and negatively correlated with cost. This study provides a new perspective and theoretical guidance for establishing stable knowledge collaboration between enterprises and promoting the sustainable development of the construction supply chain.


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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