平台对供给侧行为的影响机制:基于出租车司机使用网约车应用的纵向调查

Xuan Li, Yuan Liu
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引用次数: 0

摘要

本文研究了平台对供给侧行为的影响机制。具体来说,我们研究了出租车司机对滴滴出行的采用情况,滴滴出行是中国出租车行业的主要打车应用。我们通过减少信息不对称、降低信息搜索成本、匹配供给侧和需求侧来解决平台的影响机制。通过面板回归模型,我们发现优步对出租车司机线下运营行为的影响主要通过降低司机最佳行驶路线的信息搜索成本,以及在非高峰时段和城市地区对司机与乘客的匹配机制来实现。虽然我们没有发现统计数据支持app减少乘客出行信息不对称的机制,但我们认为该机制在未来的其他研究设置中仍值得进一步探索。本文的发现对于理解平台本身在影响平台玩家行为方面所扮演的角色至关重要。讨论了理论和实践意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The influence mechanisms of platform on supply-side behaviour: a longitudinal investigation on taxi drivers' adoption of a ride-hailing app
This paper investigates the influence mechanisms of platform on supply-side behaviour. Specifically, we examine taxi drivers' adoption of Didi Chuxing, a dominating ride-hailing app in the taxi industry in China. We address the influence mechanisms of the platform through reducing information asymmetry, reducing information search cost and matching the supply side with the demand side. By using a panel regression model, we find that the app exerts its influence on taxi drivers' offline operational behaviour mainly through the mechanisms of reducing information search cost on drivers' best driving route, and matching drivers with passengers in non-rush-hour periods and urban areas. Although we do not find a statistical support of the app's mechanism of reducing information asymmetry on passengers' trips, we believe that the mechanism is still worthwhile exploring further in other research settings in the future. The findings in this paper are essential to understand what the platform itself plays a role in influencing platform players' behaviour. Theoretical and practical implications are discussed.
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