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Research on the Optimization of Collaborative Decision Making in Shipping Green Fuel Supply Chains Based on Evolutionary Game Theory

Author

Listed:
  • Lequn Zhu

    (Policy Research Center, Tianjin Research Institute for Water Transport Engineering, Tianjin 300456, China)

  • Ran Zhou

    (Policy Research Center, Tianjin Research Institute for Water Transport Engineering, Tianjin 300456, China)

  • Xiaojun Li

    (Policy Research Center, Tianjin Research Institute for Water Transport Engineering, Tianjin 300456, China)

  • Shaopeng Lu

    (Policy Research Center, Tianjin Research Institute for Water Transport Engineering, Tianjin 300456, China)

  • Jingpeng Liu

    (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

Abstract

In the context of global climate governance and the International Maritime Organization’s (IMO) stringent carbon reduction targets, the transition to green shipping fuels faces systemic challenges in supply chain coordination. This study focuses on the strategic interactions between governments and enterprises in the construction of green fuel supply chains. By constructing a multidimensional scenario framework encompassing time, technological development, social attention, policy intensity, and market competition, and using evolutionary game models and system dynamics simulations, we reveal the dynamic evolution mechanism of government–enterprise decision making. System dynamics simulations reveal that (1) short-term government intervention accelerates infrastructure development but risks subsidy inefficiency; (2) medium-term policy stability and market-driven mechanisms are critical for sustaining enterprise investments; and (3) high social awareness and mature technologies significantly reduce strategic uncertainty. This research advances the application of evolutionary game theory in sustainable supply chains and offers a decision support framework for balancing governmental roles and market forces in maritime decarbonization.

Suggested Citation

  • Lequn Zhu & Ran Zhou & Xiaojun Li & Shaopeng Lu & Jingpeng Liu, 2025. "Research on the Optimization of Collaborative Decision Making in Shipping Green Fuel Supply Chains Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 17(11), pages 1-25, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:5186-:d:1672134
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    References listed on IDEAS

    as
    1. Monika Bortnowska & Arkadiusz Zmuda, 2024. "The Possibility of Using Hydrogen as a Green Alternative to Traditional Marine Fuels on an Offshore Vessel Serving Wind Farms," Energies, MDPI, vol. 17(23), pages 1-35, November.
    2. Jun Yao & Dongyan Chen & Hui Yu, 2022. "Decision-Making and Coordination of Remanufacturing Closed-Loop Supply Chain with PIR under the Different Government Subsidy Strategies," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
    3. Guohua Qu & Yanfang Wang & Ling Xu & Weihua Qu & Qiang Zhang & Zeshui Xu, 2021. "Low-Carbon Supply Chain Emission Reduction Strategy Considering the Supervision of Downstream Enterprises Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    4. Song Shi & Guilin Liu & Liu Zhi, 2022. "Pricing and Coordination Decisions in a Low-Carbon Supply Chain with Risk Aversion under a Carbon Tax," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-13, January.
    5. Yan Chen & Zhuying Wang & Yan Liu & Zongchao Mou, 2023. "Coordination Analysis of the Recycling and Remanufacturing Closed-Loop Supply Chain Considering Consumers’ Low Carbon Preference and Government Subsidy," Sustainability, MDPI, vol. 15(3), pages 1-24, January.
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