An Empirical Investigation of Ridesharing and New Vehicle Purchase

Jing Gong, Brad N. Greenwood, Yiping Song
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引用次数: 4

Abstract

Problem definition: In this work, we examine how ridesharing platforms affect changes in short-term vehicle purchasing. On the one hand, if the introduction of such platforms motivates owners to use the idle capacity of their existing vehicles to accrue rents, vehicle sales might fall. On the other hand, if the platform induces would-be drivers to purchase new vehicles in order to participate, vehicle sales might rise. Academic/practical relevance: Whereas operations management researchers have begun to broach this subject analytically, this work provides empirical evidence of the impact of ridesharing platforms on new vehicle ownership. Further, we assess heterogeneity in the effect across vehicle type and location. Methodology: We examine this tension using a unique data set of new vehicle registrations in China. In doing so, we exploit the variation in the timing of Uber entry using a difference-in-difference approach. Results: Findings suggest Uber entry is associated with a significant short-term increase in private new vehicle ownership, indicating that consumers actively change their stock of held resources to capture excess rents offered by the platform. These effects exclusively manifest among vehicle brands that qualify for the platform. Further, inasmuch as sales of vehicles with smaller displacement increase more than large-displacement vehicles, results indicate that the effect of Uber entry varies considerably across vehicle types. Finally, results indicate that the effects are stronger in locations where established public transportation options are weaker. Managerial implications: Results provide initial evidence that manufacturers can benefit from the emergence of the sharing economy, especially manufacturers whose products align with the needs of platform participants. For policy makers, our findings further undercut claims made by platforms that the individuals working on them are exploiting already existing resources, suggesting some form of nascent professionalism on the part of platform workers. Funding: The research was supported by the Key Program of National Natural Science of China [Grant 71832010]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.1183 .
拼车与新车购买的实证研究
问题定义:在这项工作中,我们研究了拼车平台如何影响短期车辆购买的变化。一方面,如果这些平台的引入促使车主利用现有车辆的闲置产能来赚取租金,汽车销量可能会下降。另一方面,如果该平台诱导潜在司机购买新车以参与进来,汽车销量可能会上升。学术/实践相关性:尽管运营管理研究人员已经开始分析这个问题,但这项工作提供了拼车平台对新车拥有量影响的实证证据。此外,我们评估了车辆类型和地点的异质性。方法:我们使用中国新车登记的独特数据集来检验这种紧张关系。在这样做的过程中,我们利用差分中的差分方法来利用Uber进入时间的变化。结果:研究结果表明,进入Uber与私人新车保有量的短期显著增长有关,这表明消费者积极改变其持有的资源存量,以获取平台提供的超额租金。这些影响只在有资格使用该平台的汽车品牌中体现出来。此外,由于小排量车辆的销量比大排量车辆增长更多,结果表明Uber进入的影响在不同的车型之间差异很大。最后,研究结果表明,在现有公共交通选择较弱的地区,这种影响更强。管理意义:研究结果提供了初步证据,表明制造商可以从共享经济的出现中受益,尤其是那些产品符合平台参与者需求的制造商。对于政策制定者来说,我们的研究结果进一步削弱了平台的说法,即在平台上工作的个人正在利用现有资源,这表明平台工作人员具有某种形式的新兴专业精神。基金资助:国家自然科学重点项目[no . 71832010]。补充材料:在线附录可在https://doi.org/10.1287/msom.2022.1183上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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