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How to Promote Logistics Enterprises to Participate in Reverse Emergency Logistics: A Tripartite Evolutionary Game Analysis

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  • Yumei Luo

    (School of Business and Tourism Management, Yunnan University, Kunming 650106, China)

  • Yuke Zhang

    (School of Business and Tourism Management, Yunnan University, Kunming 650106, China)

  • Lei Yang

    (School of Business and Tourism Management, Yunnan University, Kunming 650106, China)

Abstract

Considering the emergency risks and uncertainties of emergency recycling processes, this research builds a tripartite evolutionary game model of government, logistics enterprises, and environmental non-governmental organizations (NGOs) to study the interaction mechanism. Based on the analysis of evolutionary stable strategy (ESS), this research uses MATLAB R2018b to mainly show the strategy choice trends of logistics enterprises in various scenarios including “Government Failure”, as well as the mutual impacts of government and environmental NGOs’ strategy selection. The research found that (1) the government has an important role in efficiently promoting logistics enterprises’ participation; (2) the net benefits of logistics enterprises and environmental NGOs, as key factors that directly affect the game results, are influenced by emergency risks and uncertainty, respectively; (3) environmental NGOs not only play an effective complementary role to government functions, including in the “Government Failure” context, but can also urge the government to perform regulatory functions. This research enriches the study in the field of the combination of evolutionary game theory and reverse emergency logistics as well as providing a reference for the government in developing economic and administrative policies to optimize the recycling and disposal of emergency relief.

Suggested Citation

  • Yumei Luo & Yuke Zhang & Lei Yang, 2022. "How to Promote Logistics Enterprises to Participate in Reverse Emergency Logistics: A Tripartite Evolutionary Game Analysis," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12132-:d:924771
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    References listed on IDEAS

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    1. Gu, Wei & Wei, Lirong & Zhang, Wenqing & Yan, Xiangbin, 2019. "Evolutionary game analysis of cooperation between natural resource- and energy-intensive companies in reverse logistics operations," International Journal of Production Economics, Elsevier, vol. 218(C), pages 159-169.
    2. Cai, Gangshu & Kock, Ned, 2009. "An evolutionary game theoretic perspective on e-collaboration: The collaboration effort and media relativeness," European Journal of Operational Research, Elsevier, vol. 194(3), pages 821-833, May.
    3. Rob Gray & Jan Bebbington & David Collison, 2006. "NGOs, civil society and accountability: making the people accountable to capital," Accounting, Auditing & Accountability Journal, Emerald Group Publishing, vol. 19(3), pages 319-348, April.
    4. Xiaoqing Zhang & Yingsheng Su & Xigang Yuan, 2018. "Government Reward-Penalty Mechanism in Closed-Loop Supply Chain Based on Dynamics Game Theory," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-10, July.
    5. Zhou, Quan Spring & Olsen, Tava Lennon, 2017. "Inventory rotation of medical supplies for emergency response," European Journal of Operational Research, Elsevier, vol. 257(3), pages 810-821.
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    1. Guangcan Xu & Jieyu Chen & Dennis Z. Yu & Yong Liu, 2024. "Evolutionary Game Analysis of Electric Vehicle Distribution Entities with Shared Charging Facilities," Mathematics, MDPI, vol. 12(21), pages 1-21, October.
    2. Yanhu Bai & Hansheng Wu & Minmin Huang & Jianli Luo & Zhuodong Yang, 2023. "How to build a cold chain supply chain system for fresh agricultural products through blockchain technology—A study of tripartite evolutionary game theory based on prospect theory," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-27, November.

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