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The effects of surge pricing on driver behavior in the ride‐sharing market: Evidence from a quasi‐experiment.
- Source :
- Journal of Operations Management; Jul2023, Vol. 69 Issue 5, p794-822, 29p
- Publication Year :
- 2023
-
Abstract
- Surge pricing has been used to coordinate supply and demand in the ride‐sharing industry, but its causal effects on driver behavior remain unclear. This motivates us to examine how surge pricing causally affects driver earnings and labor supply by leveraging a unique quasi‐experiment, in which a leading ride‐sharing company in China introduced surge pricing in two cities at different times. Using a difference‐in‐differences design with the causal forest method, we find that surge pricing led to increases in drivers' weekly revenue. Decomposing the weekly revenue into "intensive margin" and "extensive margin" factors, we discover two countervailing effects at play: a cherry‐picking effect and a competition effect, and the daily revenue decreased because the latter dominated. Consequently, the increased weekly revenue can be explained by the extensive margin: drivers worked on more days to compensate for the decreased daily revenue, a result consistent with the income targeting behavior. Finally, we examine heterogeneous treatment effects across drivers, and find that surge pricing enticed more part‐time drivers to flood the market and crowd out full‐time drivers, and that the increase in the drivers' weekly revenue was primarily driven by part‐time drivers. Therefore, the benefit of surge pricing was unevenly distributed across drivers. Highlights: While surge pricing enlarged the size of the pie by enhancing overall operational efficiency, the induced increase in the driver pool resulted in a smaller slice per driver and decreased daily revenue for all drivers.The impact of surge pricing differed significantly across driver segments: full‐time drivers became worse off and earned less due to intensified competition from part‐time drivers; part‐time drivers earned more by increasing the weekly number of working days.When designing a new policy, platforms should be mindful of participants' bounded rationality and heterogeneous responses to the policy. [ABSTRACT FROM AUTHOR]
- Subjects :
- PRICES
LABOR supply
RIDESHARING
BOUNDED rationality
TRAFFIC safety
SUPPLY & demand
Subjects
Details
- Language :
- English
- ISSN :
- 02726963
- Volume :
- 69
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Journal of Operations Management
- Publication Type :
- Academic Journal
- Accession number :
- 164915394
- Full Text :
- https://doi.org/10.1002/joom.1223