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

Lequn Zhu, Ran Zhou (), Xiaojun Li, Shaopeng Lu () and Jingpeng Liu
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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

Sustainability, 2025, vol. 17, issue 11, 1-25

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.

Keywords: green shipping fuels; evolutionary game; supply chain collaboration; policy optimization; system dynamics simulation; government–enterprise decision making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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