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Labor market outcomes under digital platform business models in the sharing economy: the case of the taxi services industry

Author

Listed:
  • Sanae Tashiro

    (Rhode Island College)

  • Stephen Choi

    (California State University Fresno)

Abstract

This research investigates the effects of ride-sharing online platforms on the taxi and limousine industry. It also compares and contrasts labor market outcomes between conventional taxi drivers and Uber drivers during the Covid-19 pandemic. The empirical study finds that Uber’s online platform has an inconsequential impact on labor supply and earnings among conventional taxi drivers. It suggests that taxi drivers under the traditional employment system behave differently from Uber drivers under an online business platform in the sharing economy, which is further construed by a standard theory that illustrates the operations of the sharing economy.

Suggested Citation

  • Sanae Tashiro & Stephen Choi, 2021. "Labor market outcomes under digital platform business models in the sharing economy: the case of the taxi services industry," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 240-251, October.
    • Handle: RePEc:pal:buseco:v:56:y:2021:i:4:d:10.1057_s11369-021-00237-0
    DOI: 10.1057/s11369-021-00237-0
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    References listed on IDEAS

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    Cited by:

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    2. Muntaser Mohamed Nuttah & Paolo Roma & Giovanna Lo Nigro & Giovanni Perrone, 2024. "The Short- and Long-Term Impacts of COVID-19 Pandemic on the Sharing Economy: Distinguishing Between “Symptomatic” and “Asymptomatic” Platforms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 9238-9287, June.

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