Evolutionary Game-Based Research on Risk Sharing in Major Projects under the EPC+PPP Mode Considering Secondary Risks

Abstract

Existing research on risk sharing management often ignores the adverse consequences of secondary risks. This study addresses secondary risks that emerge from the implementation of specific risk mitigation measures. Addressing the limitations of existing research that overlooks secondary risks and exploring the impact of secondary risks on the outcome of risk sharing, this paper integrates secondary risks into a game model that examines risk sharing between the public and private sectors in EPC+PPP projects. Utilizing a risk-control benefit model, an evolutionary game model is established to determine the evolutionary stability strategy under various conditions. This encompasses factors such as project income distribution, risk control capability, imbalanced status, and risk compensation. The findings indicate that secondary risks impact the risk-sharing strategies of both parties. Furthermore, a stronger risk-control ability correlates with a greater inclination toward risk-taking. The public sector can motivate risk sharing for the private sector through risk compensation, with a discernible lower limit. Ultimately, risk sharing becomes an active choice for both public and private entities when the risk cost is below the difference in returns between risks.

The Construction and Application of Work and Production Resuming Behavior System Dynamics Evolutionary Game Regulation and Control Model

“…Leng constructed a system dynamics of basic in-tree model of evolutionary game flow rate [22] . At present, evolutionary game has been widely used in the dynamic evolution of behavior, such as in the study of logistics enterprise strategy [23] , risk sharing strategy selection [24] , and medical behavior evolution [25] . In order to achieve the resumption of work and production, it is necessary to increase the probability of enterprises choosing the behaviour or the proportion of participation of the behavior to 100% with the help of relevant government policies.…”