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Regulate or Ignore: The Role of Dynamic Commissions in Ride-Hailing Markets

https://doi.org/10.18288/1994-5124-2026-2-66-89

Abstract

This paper examines the role of dynamic commissions for ride-hailing platforms and finds they are a crucial pricing mechanism that directly balances the interests of passengers, drivers, and the platform itself. Dynamic commissions are a part of the ride-hailing platforms’ pricing used to balance supply and demand when trip intensity fluctuates and spatial distribution of demand is uneven. The objective of this paper is to analyze the advantages and limitations of dynamic commissions compared to fixed ones and to understand how dynamic commissions affect the resilience of platform markets and their ability to adapt to evolving market conditions. The methodology employed theoretical modeling of market equilibria in ride-hailing markets and was subjected to empirical verification using publicly available data. This approach provided a comprehensive evaluation of various strategies for managing commissions. The findings demonstrate that flexible commissions enhance platform adaptability to market fluctuations, reduce matching failures, increase driver earnings, and ultimately improve quality of service for passengers. Conversely, fixed commissions constrain a platform’s ability to maintain market equilibrium and result in decreased profitability, deterioration of service, and reduction in social benefit from it. These findings have significant implications for regulatory frameworks governing digital platforms in passenger transportation markets. The study underscores the necessity of adopting a hybrid approach to commission management that accommodates the interests of all stakeholders and promotes sustainable development within platform markets.

About the Authors

O. A. Markova
Lomonosov Moscow State University
Russian Federation

Olga A. Markova, Cand. Sci. (Econ.), Senior Researcher, Department of Competition and Industrial Policy, Economics Faculty 

1–46, Leninskie Gory, Moscow, 119234

 



A. Y. Stavniychuk
Lomonosov Moscow State University
Russian Federation

Anna Y. Stavniychuk, Cand. Sci. (Econ.), Researcher, Department of Competition and Industrial Policy, Economics Faculty 

1–46, Leninskie Gory, Moscow, 119234



References

1. Markova O. A., Stavniychuk A. Yu., Ionkina K. A. Raspredelenie resursov na osnove dinamicheskogo tsenoobrazovaniya: v chem sila? [Resource Allocation Based on Dynamic Pricing: What Is Its Source of Power?]. Nauchnye issledovaniya ekonomicheskogo fakul’teta. Elektronnyy zhurnal [Scientific Research of the Faculty of Economics. Electronic Journal], 2025, vol. 17, no. 1, pp. 79-97. DOI: 10.38050/2078-3809-2025-171-79-97. (In Russ.)

2. Shastitko A. E., Kurdin A. A., Markova O. A., Meleshkina A. I., Morozov A. N., Morosanova A. A. Effekty gosudarstvennogo regulirovaniya rynka perevozok passazhirov i bagazha legkovym taksi [Effects of State Regulation of the Passenger and Luggage Taxi Market]. Moscow, Faculty of Economics, Lomonosov Moscow State University, 2021. (In Russ.)

3. Shastitko A. E., Markova O. A. Staryy drug luchshe novykh dvukh? Podkhody k issledovaniyu rynkov v usloviyakh tsifrovoy transformatsii dlya primeneniya antimonopol’nogo zakonodatel’stva [An Old Friend Is Better Than Two New Ones? Approaches to Market Research in the Context of Digital Transformation for the Antitrust Laws Enforcement]. Voprosy ekonomiki, 2020, no. 6, pp. 37-55. DOI: 10.32609/0042-8736-2020-6-37-55. (In Russ.)

4. Angrist J. D., Caldwell S., Hall J. V. Uber vs. Taxi: A Driver’s Eye View. American Economic Journal: Applied Economics, 2021, vol. 13, no. 3, pp. 272-308. DOI: 10.1257/app.20190655.

5. Bai J., So K. C., Tang C. S., Chen X., Wang H. Coordinating Supply and Demand on an OnDemand Service Platform With Impatient Customers. Manufacturing & Service Operations Management, 2018, vol. 21, no. 3, pp. 556-570. DOI: 10.1287/msom.2018.0707.

6. Becchio G. The Two Blades of Occam's Razor in Economics: Logical and Heuristic. Economic Thought, 2020, vol. 9, no. 1, pp. 1-17.

7. Buchholz N., Shum M., Xu H. Rethinking Reference Dependence: Wage Dynamics and Optimal Taxi Labor Supply. Princeton University Economics Department, Working Paper, 2023.

8. Bimpikis K., Candogan O., Saban D. Spatial Pricing in Ride-Sharing Networks. Operations Research, 2019, vol. 67, no. 3, pp. 744-769. DOI: 10.1287/opre.2018.1800.

9. Cachon G. P., Daniels K. M., Lobel R. The Role of Surge Pricing on a Service Platform With Self-Scheduling Capacity. Manufacturing & Service Operations Management, 2017, vol. 19, no. 3, pp. 368-384. DOI: 10.1287/msom.2017.0618.

10. Castillo J. C., Knoepfle D. T., Weyl E. G. Matching and Pricing in Ride Hailing: Wild Goose Chases and How to Solve Them. Management Science, 2025, vol. 71, no. 5, pp. 4377-4395. DOI: 10.1287/mnsc.2022.00096.

11. Castillo J. C., Knoepfle D. T., Weyl E. G. Surge Pricing Solves the Wild Goose Chase. In: Proceedings of the 2017 ACM Conference on Economics and Computation, Cambridge, MА, 26-30 June 2017. New York, NY, Association for Computing Machinery, 2017, pp. 241-242. DOI: 10.1145/3033274.3085098.

12. Crawford V. P., Meng J. New York City Cab Drivers’ Labor Supply Revisited: Reference-Dependent Preferences With Rational-Expectations Targets for Hours and Income. American Economic Review, 2011, vol. 101, no. 5, pp. 1912-1932. DOI: 10.1257/aer.101.5.1912.

13. Daniels K. M. Capacity Constrained Two-Sided Markets. Washington University in St. Louis, Working Paper, 2017.

14. Easterbrook F. H. Limits of Antitrust. Texas Law Review, 1984, vol. 63, no. 1, pp. 1-40.

15. Fang Z., Huang L., Wierman A. Loyalty Programs in the Sharing Economy: Optimality and Competition. In: Proceedings of the Eighteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, Los Angeles, CA, 26-29 June 2018. New York, NY, Association for Computing Machinery, 2018, pp. 131-140. DOI: 10.1145/3209582.320959.

16. Fang Z., Huang L., Wierman A. Prices and Subsidies in the Sharing Economy. In: Proceedings of the 26th International Conference on World Wide Web, Perth, Australia, 3-7 April 2017. Switzerland, International World Wide Web Conferences Steering Committee Republic and Canton of Geneva, 2017, pp. 53-62. DOI: 10.1145/3038912.3052564.

17. Farber H. S. Reference-Dependent Preferences and Labor Supply: The Case of New York City Taxi Drivers. American Economic Review, 2008, vol. 98, no. 3, pp. 1069-1082. DOI: 10.1257/aer.98.3.1069.

18. Gomes R., Mantovani A. Regulating Platform Fees Under Price Parity. Journal of the European Economic Association, 2025, vol. 23, no. 1, pp. 190-235. DOI: 10.1093/jeea/ jvae014.

19. Hu M., Zhou Y. Price, Wage, and Fixed Commission in On-Demand Matching. SSRN, 31 August 2020. https://ssrn.com/abstract=2949513 or http://dx.doi.org/10.2139/ssrn.2949513. DOI: 10.2139/ssrn.2949513.

20. Kay B. S., Migueis M. How to Design Rules for Ex-Post Evaluation. Washington, DC, Board of Governors of the Federal Reserve System, 2025. DOI: 10.17016/2380-7172.3698.

21. Kovacic W. E. Using Ex Post Evaluations to Improve the Performance of Competition Policy Authorities. Journal of Corporation Law, 2006, vol. 31, no. 2, pp. 503.

22. Leng B., Du H., Wang J., Li L., Xiong Z. Analysis of Taxi Drivers’ Behaviors Within a Battle Between Two Taxi Apps. IEEE Transactions on Intelligent Transportation Systems, 2015, vol. 17, no. 1, pp. 296-300. DOI: 10.1109/TITS.2015.2461000.

23. Manne G. A. Error Costs in Digital Markets. The Global Antitrust Institute Report on the Digital Economy. SSRN, 11 November 2020. https://ssrn.com/abstract=3733662 or http:// dx.doi.org/10.2139/ssrn.3733662. DOI: 10.2139/ssrn.3733662.

24. Rammohan S., Marathe R. R., Sudarsanam N. Recent Advancements in Revenue Management of Taxi Services: A Systematic Review and Research Agenda. Management Review Quarterly, 2024, vol. 74, no. 2, pp. 1029-1055. DOI: 10.1007/s11301-023-00326-8.

25. Rill J., Dillickrath T.J. Type 1 Error and Uncertainty: Holding the Antitrust Enforcement Pendulum Steady. Antitrust Chronicle, 2009, vol. 11. https://competitionpolicyinternational.com/assets/0d358061e11f2708ad9d62634c6c40ad/RillNOV-09_1_.pdf.

26. Rochet J. C., Tirole J. Two‐Sided Markets: A Progress Report. The RAND Journal of Economics, 2006, vol. 37, no. 3, pp. 645-667. DOI: 10.1111/j.1756-2171.2006.tb00036.x.

27. Sappington D. E. M., Weisman D. L. Price Cap Regulation: What Have We Learned From 25 Years of Experience in the Telecommunications Industry? Journal of Regulatory Economics, 2010, vol. 38, no. 3, pp. 227-257. DOI: 10.1007/s11149-010-9133-0.

28. Thakral N., Tô L. T. Daily Labor Supply and Adaptive Reference Points. American Economic Review, 2021, vol. 111, no. 8, pp. 2417-2443. DOI: 10.1257/aer.20170768.

29. Wang H., Yang H. Ridesourcing Systems: A Framework and Review. Transportation Research Part B: Methodological, 2019, vol. 129, pp. 122-155. DOI: 10.1016/j.trb.2019.07.009.


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For citations:


Markova O.A., Stavniychuk A.Y. Regulate or Ignore: The Role of Dynamic Commissions in Ride-Hailing Markets. Economic Policy. 2026;21(2):66-89. (In Russ.) https://doi.org/10.18288/1994-5124-2026-2-66-89

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ISSN 1994-5124 (Print)
ISSN 2411-2658 (Online)