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Research on the Green Transition Path of Airport Development under the Mechanism of Tripartite Evolutionary Game Model

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  • Yangyang Lv

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Lili Wan

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Naizhong Zhang

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Zhan Wang

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Yong Tian

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Wenjing Ye

    (Zhejiang Scientific Research Institute of Transport, Hangzhou 311305, China)

Abstract

Since existing studies primarily explore green development measures from the static perspective of a single airport stakeholder, this paper constructs an evolutionary game model to analyze the strategic choices of three key stakeholders: airport authorities, third-party organizations, and government departments, based on evolutionary game theory. By solving the stable strategy of the tripartite evolution using the Jacobian matrix, the green transition of airport development can be divided into three stages: “initiation”, “development”, and “maturity”, allowing for the exploration of key factors influencing the green transition of airport development. A simulation analysis is conducted based on real Guangzhou Baiyun International Airport data. The results indicate that the tripartite evolutionary game strategy is stable at E 4 ( 0 , 0 , 1 ) and the green transition of Baiyun Airport remains in the development stage. By improving the reward and punishment mechanisms of government departments, the evolutionary game strategy can be stabilized at E 8 ( 1 , 1 , 1 ) , promoting the green transition of airport development toward the mature stage. By adjusting the game parameters, the dynamic process of green transition in airports at different levels of development and under varying regulatory environments can be effectively captured, supporting the precise formulation of corresponding policies.

Suggested Citation

  • Yangyang Lv & Lili Wan & Naizhong Zhang & Zhan Wang & Yong Tian & Wenjing Ye, 2024. "Research on the Green Transition Path of Airport Development under the Mechanism of Tripartite Evolutionary Game Model," Sustainability, MDPI, vol. 16(18), pages 1-28, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:8074-:d:1478867
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    References listed on IDEAS

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    1. Christian Hilbe & Štěpán Šimsa & Krishnendu Chatterjee & Martin A. Nowak, 2018. "Evolution of cooperation in stochastic games," Nature, Nature, vol. 559(7713), pages 246-249, July.
    2. Martin Thomas Falk & Eva Hagsten, 2020. "Time for carbon neutrality and other emission reduction measures at European airports," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1448-1464, March.
    3. Wang, Qiang & He, Nanrong & Chen, Xiaojie, 2018. "Replicator dynamics for public goods game with resource allocation in large populations," Applied Mathematics and Computation, Elsevier, vol. 328(C), pages 162-170.
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