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Impact of Transportation Network Companies on Labor Supply and Wages for Taxi Drivers

Author

Listed:
  • Lu Ling
  • Xinwu Qian
  • Satish V. Ukkusuri

Abstract

While the growth of TNCs took a substantial part of ridership and asset value away from the traditional taxi industry, existing taxi market policy regulations and planning models remain to be reexamined, which requires reliable estimates of the sensitivity of labor supply and income levels in the taxi industry. This study aims to investigate the impact of TNCs on the labor supply of the taxi industry, estimate wage elasticity, and understand the changes in taxi drivers' work preferences. We introduce the wage decomposition method to quantify the effects of TNC trips on taxi drivers' work hours over time, based on taxi and TNC trip record data from 2013 to 2018 in New York City. The data are analyzed to evaluate the changes in overall market performances and taxi drivers' work behavior through statistical analyses, and our results show that the increase in TNC trips not only decreases the income level of taxi drivers but also discourages their willingness to work. We find that 1% increase in TNC trips leads to 0.28% reduction in the monthly revenue of the yellow taxi industry and 0.68% decrease in the monthly revenue of the green taxi industry in recent years. More importantly, we report that the work behavior of taxi drivers shifts from the widely accepted neoclassical standard behavior to the reference-dependent preference (RDP) behavior, which signifies a persistent trend of loss in labor supply for the taxi market and hints at the collapse of taxi industry if the growth of TNCs continues. In addition, we observe that yellow and green taxi drivers present different work preferences over time. Consistently increasing RDP behavior is found among yellow taxi drivers. Green taxi drivers were initially revenue maximizers but later turned into income targeting strategy

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  • Lu Ling & Xinwu Qian & Satish V. Ukkusuri, 2023. "Impact of Transportation Network Companies on Labor Supply and Wages for Taxi Drivers," Papers 2307.13620, arXiv.org.
    • Handle: RePEc:arx:papers:2307.13620
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    1. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 407-441.
    2. Qian, Xinwu & Ukkusuri, Satish V., 2017. "Taxi market equilibrium with third-party hailing service," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 43-63.
    3. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    4. Orley Ashenfelter & Kirk Doran & Bruce Schaller, 2010. "A Shred of Credible Evidence on the Long‐run Elasticity of Labour Supply," Economica, London School of Economics and Political Science, vol. 77(308), pages 637-650, October.
    5. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    6. Doran, Kirk, 2014. "Are long-term wage elasticities of labor supply more negative than short-term ones?," Economics Letters, Elsevier, vol. 122(2), pages 208-210.
    7. Contreras, Seth D. & Paz, Alexander, 2018. "The effects of ride-hailing companies on the taxicab industry in Las Vegas, Nevada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 63-70.
    8. Orley Ashenfelter & Kirk Doran & Bruce Schaller, 2010. "A Shred of Credible Evidence on the Long‐run Elasticity of Labour Supply," Economica, London School of Economics and Political Science, vol. 77(308), pages 637-650, October.
    9. Kfir Eliaz & Ran Spiegler, 2014. "Reference Dependence and Labor Market Fluctuations," NBER Macroeconomics Annual, University of Chicago Press, vol. 28(1), pages 159-200.
    10. repec:pri:cepsud:199ashenfelter is not listed on IDEAS
    11. Beesley, Michael E & Glaister, Stephen G, 1983. "Information for Regulating: The Case of Taxis," Economic Journal, Royal Economic Society, vol. 93(371), pages 594-615, September.
    12. Hall, Jonathan D. & Palsson, Craig & Price, Joseph, 2018. "Is Uber a substitute or complement for public transit?," Journal of Urban Economics, Elsevier, vol. 108(C), pages 36-50.
    13. Guillaume R. Fréchette & Alessandro Lizzeri & Tobias Salz, 2019. "Frictions in a Competitive, Regulated Market: Evidence from Taxis," American Economic Review, American Economic Association, vol. 109(8), pages 2954-2992, August.
    14. Yang, Hai & Wong, S. C., 1998. "A network model of urban taxi services," Transportation Research Part B: Methodological, Elsevier, vol. 32(4), pages 235-246, May.
    15. Yang, Hai & Ye, Min & Tang, Wilson H. & Wong, S.C., 2005. "Regulating taxi services in the presence of congestion externality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(1), pages 17-40, January.
    16. Henry S. Farber, 2008. "Reference-Dependent Preferences and Labor Supply: The Case of New York City Taxi Drivers," American Economic Review, American Economic Association, vol. 98(3), pages 1069-1082, June.
    17. Yang, Hai & Fung, C.S. & Wong, K.I. & Wong, S.C., 2010. "Nonlinear pricing of taxi services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 337-348, June.
    18. Çetin, Tamer & Yasin Eryigit, Kadir, 2013. "The economic effects of government regulation: Evidence from the New York taxicab market," Transport Policy, Elsevier, vol. 25(C), pages 169-177.
    19. Henry S. Farber, 2005. "Is Tomorrow Another Day? The Labor Supply of New York City Cabdrivers," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 46-82, February.
    20. Asamer, Johannes & Reinthaler, Martin & Ruthmair, Mario & Straub, Markus & Puchinger, Jakob, 2016. "Optimizing charging station locations for urban taxi providers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 233-246.
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