Corporate Environmental Investment Behavior and Cooperation Evolution Considering Centralized Sanction and Reference Dependence
As important participants of society,enterprises should take responsibility of investing in the public environment production.However,the enterprises may be non-cooperative during the investment due to the public attributes of environmental resources and the externality characteristics of environmental investment,which may lead to the undercapitalization,and thus the cooperation would get to the collective action dilemma.Based on the perspective of combining centralized punishment and reference dependence,an evolutionary game model of enterprise environmental investment cooperation is constructed,and different application scenarios of cooperation invest are simulated that with/without the influence factors of reference dependence strategy interac-tion rules,centralized punishment mechanism,different penalties,etc.Then,by the statistical testing methods,the impact of centralized punishment and enterprise reference dependence strategy interaction on enterprise environmental investment cooperation is analyzed under different penalties.It is found that(1)With appropriate penalties,the centralized punishment mechanism can improve the level of enterprise environmental investment cooperation;(2)Under different penalties,there is a significant difference in the benefits of collec-tive action in enterprise environmental investment cooperation.Under certain conditions,there is an optimal threshold for the penalty of enterprises,which can maximize the benefits of collective action;(3)When considering the incentive factors of punishment only,it is not enough to maintain enterprise environmental investment cooperation.More importantly,the formation of a benign strategic interaction based on reference dependence between enterprises can fully stimulate enterprises to actively participate in environmental invest-ment cooperation actions.The above conclusions provide new ideas for improving the ecological environment.
NETL
NSTL
万方数据
