Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis

出租车 TRIPS体系结构 激励 道德风险 业务 计算机科学 布线(电子设计自动化) 运筹学 运输工程 经济 微观经济学 工程类 计算机网络
作者
Meng Liu,Erik Brynjolfsson,Jason Dowlatabadi
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:67 (8): 4665-4685 被引量:78
标识
DOI:10.1287/mnsc.2020.3721
摘要

Digital platforms provide a variety of technology-enabled tools that enhance market transparency, such as real-time monitoring, ratings of buyers and sellers, and low-cost complaint channels. How do these innovations affect moral hazard and service quality? We investigate this problem by comparing driver routing choices and efficiency on a large digital platform, Uber, with traditional taxis. The identification is enabled by matching taxi and Uber trips at the origin-destination-time level so they are subject to the same underlying optimal route, by exploiting characteristics of the pricing schemes that differentially affect the incentives of taxi and Uber drivers in various circumstances, and by examining changes in behavior when drivers switch from taxis to Uber. We find that (1) taxi drivers route longer in distance than matched Uber drivers on metered airport routes by an average of 8%, with nonlocal passengers on airport routes experiencing even longer routing; (2) no such long routing is found for short trips in dense markets (e.g., within-Manhattan trips) or airport trips with a flat fare; and (3) long routing in general leads to longer travel time, instead of saving passengers time. These findings are consistent with digital platform designs reducing driver moral hazard, but not with competing explanations such as driver selection or differences in driver navigation technologies. We also find evidence of Uber drivers’ long routing on airport trips in times of surge pricing, suggesting that the tech-enabled market designs may not be binding in our setting. This paper was accepted by Chris Forman, information systems.
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