Evolutionary Game and Simulation Analysis of Food Safety Regulation under Time Delay Effect

Abstract

This study develops a tripartite evolutionary game dynamic model with a time delay effect to analyze the interactions among food enterprise, government regulatory, and food inspection agencies in managing food safety risks. This model enables government regulatory agencies to more accurately assess and predict food safety risks, thereby implementing more effective preventative measures, ensuring the maximization of policy effectiveness and reducing food safety incidents. The results emphasize the significance of recent company performance by showing that regulatory and inspection entities’ strategic decisions are significantly impacted by delay effects from food companies. This study also shows that negative self-feedback intensity drives food enterprises to develop safer products and encourages tighter government oversight. Recommendations include improving consumer reporting channels, changing government incentives and penalties, allocating resources efficiently, and advancing information technology to decrease the effects of time delays and improve food safety management. Governments can improve food safety regulation by using strategic insights from numerical simulations.

Low-Carbon Construction in China’s Construction Industry from the Perspective of Evolutionary Games

“…Evolutionary game theory is commonly employed to analyze the dynamics of interactions among distinct groups [22]. Evolutionary game theory has been extensively utilized in other sectors such as energy [23], agriculture [24], ecological governance [25], and food safety [26], and it is also relevant to this study. Existing studies on study subjects have recognized the significant impact of government regulation and aim to investigate the interest dynamics between the government and other entities [27][28][29].…”