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Online Car-Hailing Market Regulation Strategy in China: From the Perspective of Quadrilateral Evolutionary Games.

Authors :
Peng, Yong
Hou, YaPing
Gao, ShuHan
Source :
Computational Economics; Aug2024, Vol. 64 Issue 2, p815-840, 26p
Publication Year :
2024

Abstract

This paper fully considers the influence of the government, platforms, drivers and passengers on the regulation of online car-hailing market, and constructs an evolutionary game model of four parties. Then, the strategic stability of evolutionary game model is analyzed. Eleven strategies satisfying the stability conditions are obtained. Finally, the simulation verify the results of analysis. The simulation shows that parties' decisions will be changed by the strength of the initial willingness. When the rewards and punishments increase, the self-restraint ability of the platform and the drivers can be strengthened. And then, by analyzing the managerial cost, this paper finds that reducing cost can accelerate the system to the stable state. Based on this, the paper puts forward relevant policy suggestions to promote the regulation of online car-hailing market. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09277099
Volume :
64
Issue :
2
Database :
Complementary Index
Journal :
Computational Economics
Publication Type :
Academic Journal
Accession number :
179711664
Full Text :
https://doi.org/10.1007/s10614-023-10461-9