Evolutionary Game and Simulation Analysis of Food Safety Regulation under Time Delay Effect
Tianjun Su,
Linhai Wu and
Jingxiang Zhang ()
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Tianjun Su: School of Science, Jiangnan University, Wuxi 214122, China
Linhai Wu: School of Business, Institute for Food Safety Risk Management, Jiangnan University, Wuxi 214122, China
Jingxiang Zhang: School of Science, Jiangnan University, Wuxi 214122, China
Mathematics, 2024, vol. 12, issue 8, 1-23
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.
Keywords: time-delay; evolutionary game model; food safety; government regulation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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