Effects of Threshold-Based Incentives on Drivers' Labor Supply Behavior

29 Pages Posted: 22 Aug 2022 Last revised: 2 May 2023

See all articles by Tianming Liu

Tianming Liu

University of Michigan at Ann Arbor - Department of Civil and Environmental Engineering

Zhengtian Xu

George Washington University - Department of Civil and Environmental Engineering

Daniel Vignon

New York University (NYU) - NYU Tandon School of Engineering

Yafeng Yin

University of Michigan, Ann Arbor

Qingyang Li

DiDi Labs

Zhiwei Qin

DiDi Labs

Date Written: August 15, 2022

Abstract

In recent years, driver incentives have become a vital tool for ride-sourcing operators to deal with supply management challenges brought by a high level of labor flexibility and scarcity. However, despite its large-scale implementation in the industry, an understanding of the influence of threshold-based incentives on driver labor supply has been lacking. This lack of understanding could greatly reduce the efficiency of incentives for regulating the labor supply. Thus, in this study, using an extensive ride-sourcing dataset, we conduct a comprehensive analysis of the treatment effect of driver incentives on ride-sourcing drivers' behavior. Our results suggest that although threshold-based incentives positively impact drivers' labor supply along the intensive and extensive margin, their effectiveness is limited by their design and drivers' working schedules. The incentives cannot alter the drivers' participation outside their normal schedule and have limited effective ranges within drivers' shifts. We also find that the incentives only have an impact on drivers' working decisions before the incentive threshold is reached and the reward collected, but not after.

Keywords: Ride sourcing, driver behavior, incentive effects, supply management

Suggested Citation

Liu, Tianming and Xu, Zhengtian and Vignon, Daniel and Yin, Yafeng and Li, Qingyang and Qin, Zhiwei, Effects of Threshold-Based Incentives on Drivers' Labor Supply Behavior (August 15, 2022). Available at SSRN: https://ssrn.com/abstract=4190573 or http://dx.doi.org/10.2139/ssrn.4190573

Tianming Liu

University of Michigan at Ann Arbor - Department of Civil and Environmental Engineering ( email )

2350 Hayward Street
2340 GG Brown Building
Ann Arbor, MI 48109-2125
United States

Zhengtian Xu (Contact Author)

George Washington University - Department of Civil and Environmental Engineering ( email )

800 22nd Street NW
Washington, DC 200052
United States

Daniel Vignon

New York University (NYU) - NYU Tandon School of Engineering ( email )

6 MetroTech Center
Brooklyn, NY 11201
United States

Yafeng Yin

University of Michigan, Ann Arbor ( email )

2350
Hayward Street
Ann Arbor, MI 48109
United States

Qingyang Li

DiDi Labs

450 National Ave
Mountain View, CA 94043
United States

Zhiwei Qin

DiDi Labs

450 National Ave
Mountain View, CA 94043
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
151
Abstract Views
784
Rank
425,210
PlumX Metrics