IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i9p3895-d1642730.html
   My bibliography  Save this article

A Tripartite Evolutionary Game Study on the Carbon Emission Reduction of Shipping Enterprises Considering Government and Shipper Behavior

Author

Listed:
  • Jing Liang

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

  • Yuying Dou

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

  • Yatong Song

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

Abstract

This paper constructs a tripartite evolutionary game model involving governments, shipping enterprises, and shippers to analyze the dynamic interactions and strategic decision-making regarding carbon emission reduction within the shipping industry. The model examines how subsidies, penalties, and supervisory mechanisms influence stakeholders’ behavioral trajectories and equilibrium outcomes. The key findings reveal that the government’s active regulatory strategy evolves inversely with the probabilities of proactive emission reduction by enterprises and shipper supervision, while the likelihood of enterprises adopting low-carbon strategies increases with governmental and shipper engagement. Under a single reward-and-penalty framework, only subsidies can guide the studied system toward an evolutionary equilibrium characterized by active regulation, proactive emission reduction, and supervision. In a mixed reward-and-penalty scenario, increasing subsidy levels is crucial to achieving an equilibrium between passive regulation, proactive emission reduction, and supervision. Our sensitivity analysis highlights that subsidies for enterprises and shippers have a greater impact than penalties, although excessive subsidies may strain governmental budgets. Additional emission reduction costs and benefits are also key factors that affect the carbon emission reduction strategies of shipping enterprises.

Suggested Citation

  • Jing Liang & Yuying Dou & Yatong Song, 2025. "A Tripartite Evolutionary Game Study on the Carbon Emission Reduction of Shipping Enterprises Considering Government and Shipper Behavior," Sustainability, MDPI, vol. 17(9), pages 1-24, April.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:3895-:d:1642730
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/9/3895/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/9/3895/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoping Wu & Peng Liu & Qi Wei, 2021. "Analysis on Evolutionary Stability Strategies of Carbon Emission of Logistics Enterprises Based on Carbon Tax," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-11, December.
    2. Haiying Zhou & Wenjing Zhang, 2022. "Choice of Emission Control Technology in Port Areas with Customers’ Low-Carbon Preference," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    3. Zhihang Bei & Juan Wang & Yalun Li & Hewu Wang & Minghai Li & Feng Qian & Wenqiang Xu, 2024. "Challenges and Solutions of Ship Power System Electrification," Energies, MDPI, vol. 17(13), pages 1-25, July.
    4. Xinjia Gao & Aoshuang Zhu & Qifeng Yu, 2023. "Exploring the Carbon Abatement Strategies in Shipping Using System Dynamics Approach," Sustainability, MDPI, vol. 15(18), pages 1-25, September.
    5. Wang, Tingsong & Wang, Xinchang & Meng, Qiang, 2018. "Joint berth allocation and quay crane assignment under different carbon taxation policies," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 18-36.
    6. Zhibo He & Dan Wang & Jiawei Li & Wanwei Fang & Yilin Yang & Mingjun Ji, 2024. "An Evolutionary Stability Study of Zero-Carbon Transition for Shipping Enterprises Considering Dynamic Penalty and Carbon Quota Trading Mechanisms," Sustainability, MDPI, vol. 16(23), pages 1-23, December.
    7. Sufeng Li & Chenxin Dong & Lei Yang & Xinpeng Gao & Wei Wei & Ming Zhao & Weiqi Xia, 2022. "Research on Evolutionary Game Strategy Selection and Simulation Research of Carbon Emission Reduction of Government and Enterprises under the “Dual Carbon” Goal," Sustainability, MDPI, vol. 14(19), pages 1-18, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tian, Xuecheng & Yan, Ran & Liu, Yannick & Wang, Shuaian, 2023. "A smart predict-then-optimize method for targeted and cost-effective maritime transportation," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 32-52.
    2. Jie Gao & Qingmei Tan & Bo Cui, 2024. "Reducing Carbon Emissions from Coal-Fired Power Plants: An Analysis Using Evolutionary Game Theory," Sustainability, MDPI, vol. 16(23), pages 1-17, December.
    3. Zhen, Lu & Zhuge, Dan & Wang, Shuaian & Wang, Kai, 2022. "Integrated berth and yard space allocation under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 1-27.
    4. Tostado-Véliz, Marcos & Horrillo-Quintero, Pablo & García-Triviño, Pablo & Fernández-Ramírez, Luis M. & Jurado, Francisco, 2024. "Optimal sitting and sizing of hydrogen refilling stations in distribution networks under locational marginal prices," Applied Energy, Elsevier, vol. 374(C).
    5. Ang Yang & Xiangyu Meng & He He & Liang Wang & Jing Gao, 2022. "Towards Optimized ARMGs’ Low-Carbon Transition Investment Decision Based on Real Options," Energies, MDPI, vol. 15(14), pages 1-16, July.
    6. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    7. Wang, Jian & Zhu, Wenbo, 2023. "Analyzing the development of competition and cooperation among ocean carriers considering the impact of carbon tax policy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    8. Guoping Tu & Zhe Zan, 2025. "The Green Paradox of New Energy Vehicles: A System Dynamics Analysis," Sustainability, MDPI, vol. 17(9), pages 1-29, April.
    9. Epameinondas K. Koumaniotis & Fotios D. Kanellos, 2024. "Optimal Routing and Sustainable Operation Scheduling of Large Ships with Integrated Full-Electric Propulsion," Sustainability, MDPI, vol. 16(23), pages 1-18, December.
    10. Cao, Zhen & Wang, Wenyuan & Jiang, Ying & Xu, Xinglu & Xu, Yunzhuo & Guo, Zijian, 2022. "Joint berth allocation and ship loader scheduling under the rotary loading mode in coal export terminals," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 229-260.
    11. Li, Ruhuan & Zhou, Jun & Qiu, Zitong & Li, Haonan & Li, Jinman & Wu, Ji & Wu, Kai, 2025. "Bi-level optimization of hybrid energy conversion system based on a multi-distinct low-carbon microgrid," Renewable Energy, Elsevier, vol. 239(C).
    12. Wu, Jiaming & Kulcsár, Balázs & Ahn, Soyoung & Qu, Xiaobo, 2020. "Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 223-239.
    13. Lefeng Cheng & Mengya Zhang & Pengrong Huang & Wentian Lu, 2024. "Game-Theoretic Approaches for Power-Generation Companies’ Decision-Making in the Emerging Green Certificate Market," Sustainability, MDPI, vol. 17(1), pages 1-53, December.
    14. Liu, Changchun, 2020. "Iterative heuristic for simultaneous allocations of berths, quay cranes, and yards under practical situations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    15. Wang, Tingsong & Cheng, Peiyue & Zhen, Lu, 2023. "Green development of the maritime industry: Overview, perspectives, and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    16. Yuzhe Wu & Jia Ao & Yuhang Ren, 2023. "Allocation of Land Factors in China Looking Forward to 2035: Planning and Market," IJERPH, MDPI, vol. 20(4), pages 1-16, February.
    17. Chargui, Kaoutar & Zouadi, Tarik & Sreedharan, V. Raja & El Fallahi, Abdellah & Reghioui, Mohamed, 2023. "A novel robust exact decomposition algorithm for berth and quay crane allocation and scheduling problem considering uncertainty and energy efficiency," Omega, Elsevier, vol. 118(C).
    18. Nuno Costa & João Lourenço, 2022. "Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    19. Tomasz Cepowski, 2024. "Utilizing Artificial Neural Network Ensembles for Ship Design Optimization to Reduce Added Wave Resistance and CO 2 Emissions," Energies, MDPI, vol. 17(21), pages 1-22, October.
    20. Meixian Jiang & Fangzheng Ma & Yuqiu Zhang & Shuying Lv & Zhi Pei & Guanghua Wu, 2024. "Collaborative Scheduling Optimization of Container Port Berths and Cranes under Low-Carbon Environment," Sustainability, MDPI, vol. 16(7), pages 1-26, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:3895-:d:1642730. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.