Volume 41 Issue 6
Dec.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(6): 152-160
JIANG Jun, YANG Chen, CHEN Lixuan, MA Zhiming, LIN Li, FU Xiaona. An Analysis of Tripartite Evolutionary Game on Carbon Emission Reduction by Shipping Enterprises under the Goals of Carbon Peaking and Carbon Neutralization[J]. Journal of Transport Information and Safety, 2023, 41(6): 152-160. doi: 10.3963/j.jssn.1674-4861.2023.06.017
Citation: JIANG Jun, YANG Chen, CHEN Lixuan, MA Zhiming, LIN Li, FU Xiaona. An Analysis of Tripartite Evolutionary Game on Carbon Emission Reduction by Shipping Enterprises under the Goals of Carbon Peaking and Carbon Neutralization[J]. Journal of Transport Information and Safety, 2023, 41(6): 152-160. doi: 10.3963/j.jssn.1674-4861.2023.06.017
shu

An Analysis of Tripartite Evolutionary Game on Carbon Emission Reduction by Shipping Enterprises under the Goals of Carbon Peaking and Carbon Neutralization

doi: 10.3963/j.jssn.1674-4861.2023.06.017
  • 1.

    College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 40074, China

  • 2.

    Port and Shipping Administration Division, Dazu District Transportation Bureau of Chongqing Municipality Chongqing 402360, China

  • Received Date: 2023-08-05
    Available Online: 2024-04-03
    Abstract
  • Currently, the evolutionary game studies on carbon emission reduction in waterway transportation primarily focus on the interaction between enterprises and government, overlooking the impact of market consumers in the carbon reduction process. From the perspective of market consumers and by introducing shippers as game entities, the study of the tripartite game process involving shipping enterprises, regulatory government bodies, and shippers can provide a more comprehensive view of the carbon emission reduction pathways within the shipping industry. To balance the conflicting interests of shipping enterprises, regulatory government bodies, and shippers in the carbon reduction process, an evolutionary game model and dynamic replication equations among the three entities are constructed based on evolutionary game theory. The model is developed with sets of behavioral actions, probability combinations, and game behavior of the involved entities. Using MATLAB simulation tools, 12 equilibrium points of the model are solved, and a systematic analysis of their local stability is conducted. Through numerical simulation and analysis of the interactions and evolutionary processes among the three game entities, the influencing factors and mechanisms during the evolution are investigated. The study aims to explore the impacts of various parameters on the system's evolutionary outcomes. The simulation results indicate: ① As the benefits generated by low-carbon shipping technologies significantly surpass traditional technologies, the government begins to adopt more proactive regulatory strategies; ② During the evolutionary game, the strategy choices of participants are closely related to the probabilities of their initial strategy choices, suggesting that the initial strategies play a crucial guiding role in strategy evolution; ③ Under the dual influence of the government and shipping enterprises, shippers become a critical factor driving carbon emission reduction in the shipping industry; ④ The attitude of shipping enterprises towards new technology development is related to their benefits and government subsidies, challenging the traditional notion that associates it sorely with costs. The findings can provide valuable insights for strategy optimization in carbon emission reduction for shipping enterprises.

     

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