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Supervision of the Default Risk of Online Car-Hailing Platform from an Evolutionary Game Perspective

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  • Zhicheng Weng

    (School of Management, Fudan University, Shanghai 200433, China)

  • Pinliang Luo

    (School of Management, Fudan University, Shanghai 200433, China)

Abstract

Online car-hailing services are becoming a key component of the public transportation system, despite there being some certain risks, especially default risk. Turning to the evolutionary game method, this research constructed an evolutionary game model of online car-hailing platform, and then analyzed the equilibrium state of three scenarios (i.e., no supervision, internal supervision of platform enterprises, and external supervision of regulators), followed by carrying out a simulation. The results showed that to realize the evolution stability strategies (ESS) of default risk control, a strong credit constraint or the establishment of a coordinated supervision mode with appropriate intensity are needed. On this basis, this research puts forward the coordinated “platform enterprise + regulator” supervision mode, as well as the following four specific strategies: Promoting the construction of a credit system, strengthening the construction of laws and regulations, establishing a service process control mechanism, and introducing innovative regulatory means.

Suggested Citation

  • Zhicheng Weng & Pinliang Luo, 2021. "Supervision of the Default Risk of Online Car-Hailing Platform from an Evolutionary Game Perspective," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:555-:d:477167
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    Cited by:

    1. Wei Zhou & Feipeng Guo, 2022. "Precise Supervision of Enterprise Environmental Protection Behavior Based on Boolean Matrix Factorization under Low Carbon Background," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    2. Yong Peng & YaPing Hou & ShuHan Gao, 2024. "Online Car-Hailing Market Regulation Strategy in China: From the Perspective of Quadrilateral Evolutionary Games," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 815-840, August.
    3. Guangyu Mu & Yuhan Wang & Nan Gao & Xiurong Li, 2023. "A Novel Tripartite Evolutionary Game Model for Internet Consumer Financial Regulation," SAGE Open, , vol. 13(3), pages 21582440231, August.
    4. Dongpu Fu & Jiarui Sun & Cuiyou Yao & Fulei Shi, 2024. "The influence of policy incentives on the diffusion of battery-swapping taxis and stations: a coupled evolutionary game model in complex networks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26945-26969, October.

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