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On-demand ride-hailing platforms in competition with the taxi industry: Pricing strategies and government supervision

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  • Zhong, Yuanguang
  • Yang, Tong
  • Cao, Bin
  • Cheng, T.C.E.

Abstract

We consider the case where a large-scale entry of ride-hailing vehicles have significant impacts on the taxi market, which may result in many taxi drivers being forced to withdraw from the transport industry or promote the development of the whole transport industry. Specifically, we examine how an on-demand ride-hailing platform in competition with the traditional taxi industry designs its pricing strategies under the unregulated and regulated pricing scenarios, and we focus on government supervision strategies in the transport industry in view of the development of on-demand ride-hailing platforms and their impacts on both society and the traditional taxi industry. We find that the monopolistic on-demand ride-hailing platform's price rate and profit under the unregulated pricing scenario are relatively higher than those under the regulated pricing scenario. We also find that the government should encourage competition between on-demand ride-hailing platforms and the traditional taxi industry. In addition, the government's regulatory measures should depend on its situation and its degrees of attention to various stakeholders because the adjustment effects of the regulatory measures are different. When the taxi supply is less than customer demand, increasing the total number of taxis is the best regulatory measure, but when the taxi supply exceeds customer demand, the best regulatory measure depends on the specific situation. This suggests that the government should adopt pertinent supervisory policies to maximize the overall social welfare and profit based on the actual situation it is in.

Suggested Citation

  • Zhong, Yuanguang & Yang, Tong & Cao, Bin & Cheng, T.C.E., 2022. "On-demand ride-hailing platforms in competition with the taxi industry: Pricing strategies and government supervision," International Journal of Production Economics, Elsevier, vol. 243(C).
  • Handle: RePEc:eee:proeco:v:243:y:2022:i:c:s0925527321002772
    DOI: 10.1016/j.ijpe.2021.108301
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    References listed on IDEAS

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    1. Gérard P. Cachon & Kaitlin M. Daniels & Ruben Lobel, 2017. "The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 368-384, July.
    2. Sanyal, Romola & Ferreri, Mara, 2018. "Platform economies and urban planning: Airbnb and regulated deregulation in London," LSE Research Online Documents on Economics 87473, London School of Economics and Political Science, LSE Library.
    3. Tong, Tingting & Dai, Hongyan & Xiao, Qin & Yan, Nina, 2020. "Will dynamic pricing outperform? Theoretical analysis and empirical evidence from O2O on-demand food service market," International Journal of Production Economics, Elsevier, vol. 219(C), pages 375-385.
    4. Terry A. Taylor, 2018. "On-Demand Service Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 704-720, October.
    5. Vibhanshu Abhishek & Kinshuk Jerath & Z. John Zhang, 2016. "Agency Selling or Reselling? Channel Structures in Electronic Retailing," Management Science, INFORMS, vol. 62(8), pages 2259-2280, August.
    6. Choi, Tsan-Ming & Guo, Shu & Liu, Na & Shi, Xiutian, 2020. "Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1031-1042.
    7. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    8. Jiayi Joey Yu & Christopher S. Tang & Zuo-Jun Max Shen & Xiqun Michael Chen, 2020. "A Balancing Act of Regulating On-Demand Ride Services," Management Science, INFORMS, vol. 66(7), pages 2975-2992, July.
    9. Sun, Luoyi & Teunter, Ruud H. & Babai, M. Zied & Hua, Guowei, 2019. "Optimal pricing for ride-sourcing platforms," European Journal of Operational Research, Elsevier, vol. 278(3), pages 783-795.
    10. Jiaru Bai & Kut C. So & Christopher S. Tang & Xiqun (Michael) Chen & Hai Wang, 2019. "Coordinating Supply and Demand on an On-Demand Service Platform with Impatient Customers," Manufacturing & Service Operations Management, INFORMS, vol. 21(3), pages 556-570, July.
    11. Timothy W. McGuire & Richard Staelin, 1983. "An Industry Equilibrium Analysis of Downstream Vertical Integration," Marketing Science, INFORMS, vol. 2(2), pages 161-191.
    12. Gad Allon & Achal Bassamboo & Eren B. Çil, 2012. "Large-Scale Service Marketplaces: The Role of the Moderating Firm," Management Science, INFORMS, vol. 58(10), pages 1854-1872, October.
    13. Zhong, Yuanguang & Lin, Zhaozhan & Zhou, Yong-Wu & Cheng, T.C.E. & Lin, Xiaogang, 2019. "Matching supply and demand on ride-sharing platforms with permanent agents and competition," International Journal of Production Economics, Elsevier, vol. 218(C), pages 363-374.
    14. Jagmohan S. Raju & Raj Sethuraman & Sanjay K. Dhar, 1995. "The Introduction and Performance of Store Brands," Management Science, INFORMS, vol. 41(6), pages 957-978, June.
    15. Xiaogang Lin & Yong-Wu Zhou, 2019. "Pricing policy selection for a platform providing vertically differentiated services with self-scheduling capacity," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(7), pages 1203-1218, July.
    Full references (including those not matched with items on IDEAS)

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