scholarly journals EVOLUTIONARY GAME ANALYSIS OF ECOLOGICAL COMPENSATION IN THE ECONOMIC TRANSITION OF STATEOWNED FOREST AREAS

2019 ◽  
Vol 17 (6) ◽  
Author(s):  
J Y GUO
Keyword(s):  
Economic Transition ◽  
Evolutionary Game ◽  
Ecological Compensation ◽  
Game Analysis

scholarly journals The evolutionary game analysis of cross-regional ecological compensation - based on the perspective of the main functional area

2018 ◽  
Vol 53 ◽  
pp. 04043
Author(s):  
PAN He-si ◽  
LIU Hong-zhi
Keyword(s):  
Carrying Capacity ◽  
Local Governments ◽  
Evolutionary Game ◽  
Ecological Environment ◽  
Game Model ◽  
Functional Area ◽  
Ecological Compensation ◽  
Game Analysis ◽  
Root Cause ◽  
Upper Limit

Under the new normal, the carrying capacity of ecological environment in China has reached or approached the upper limit. The root cause is the lack of an endogenous mechanism for the protection and compensation of forest resources. Therefore, clarifying the game relationship between stakeholders can help to break through the dilemma. An evolutionary game model between beneficiary regions and the protected regions was constructed, based on the “restraint-encouragement” mechanism of the central government.The results show that in cross-regional ecological compensation, the optimal strategy of “ protectioncompensation” depend on the net profits of local governments and the central government's fines.

Evolutionary game analysis of information sharing by institutional investors

2021 ◽  
pp. 1-9
Author(s):  
Hua Li ◽  
Qingqing Lou ◽  
Qiubai Sun ◽  
Bowen Li
Keyword(s):  
Information Sharing ◽  
Institutional Investors ◽  
Information Exchange ◽  
Evolutionary Game ◽  
Stable State ◽  
Point Of View ◽  
Game Model ◽  
Game Analysis ◽  
Relationship Network ◽  
The Relationship

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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