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Evolutionary Games in the Agricultural Product Quality and Safety Information System: A Multiagent Simulation Approach

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Listed:
  • Xin Su
  • Shengsen Duan
  • Shubing Guo
  • Haolong Liu

Abstract

This paper aims at identifying the key factors to maintain the quality and safety of agricultural products in the agricultural product quality and safety information system (APQSIS). Based on the theoretical framework of information entropy and complexity, this paper uses the dynamic evolutionary game model and the multiagent modeling and simulation to discuss the APQSIS agents’ equilibrium strategies and the effects of their interactive behaviors on the APQSIS evolutionary stability with asymmetric information. The results show that the governmental supervision and intermediary organizations are significant to assuring agricultural product quality and safety (APQS) as well as the effective transmission of APQS information in stable environments with low complexity.

Suggested Citation

  • Xin Su & Shengsen Duan & Shubing Guo & Haolong Liu, 2018. "Evolutionary Games in the Agricultural Product Quality and Safety Information System: A Multiagent Simulation Approach," Complexity, Hindawi, vol. 2018, pages 1-13, March.
    • Handle: RePEc:hin:complx:7684185
    DOI: 10.1155/2018/7684185
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    References listed on IDEAS

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    Cited by:

    1. Song Yang & Jincai Zhuang & Aifeng Wang & Yancai Zhang, 2019. "Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels," Complexity, Hindawi, vol. 2019, pages 1-13, November.
    2. Tan, Yiheng & Huang, Xiying & Li, Wei, 2023. "Does blockchain-based traceability system guarantee information authenticity? An evolutionary game approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    3. Xin Cai & Dongdong Li & Chaofa Wang, 2024. "Auto parts quality certification and manufacturer regulation: An evolutionary game theory perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(4), pages 2459-2472, June.

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