Investment in enhancing resilience safety of chemical parks under blockchain technology: From the perspective of dynamic reward and punishment mechanisms

Abstract

Industry and academia have long focused on safety risk management in chemical parks, and resilient safety is becoming a new goal for risk and emergency management in parks. In the context of blockchain, what is the behavioral law of chemical enterprises investing for resilient safety is a scientific question that needs to be studied urgently. This paper effectively combines prospect theory, mental account and evolutionary game theory, considers the herd effect, establishes a hypothetical model of limited rationality of chemical park resilience safety investment actors (core enterprises, supporting enterprises and local government regulators), analyzes the evolutionary stabilization strategies of the core enterprises, supporting enterprises and local government regulators under the static and dynamic rewards and punishments mechanisms, and finally, further conducts a Finally, numerical simulation analysis is further carried out. The results show that (1) the resilient safety investment of chemical park enterprises is jointly influenced by multiple factors, including external incentives and subjective factors of decision makers. (2) The government's dynamic reward and punishment mechanism can more effectively incentivize enterprises to invest in resilience safety. (3) Reducing the psychological pressure among supporting enterprises and reducing the influence of herd effect can push the system to tend to the state of positive investment. The marginal contribution of this paper is to reveal the evolution law of chemical park resilience safety investment behavior under blockchain technology. The findings provide empirical evidence for promoting resilient safety investment in chemical parks and enhancing the level of resilient safety in the parks.