详情

原文传递 Investigating the Influence of a New Ride-Hailing Policy on Air Quality Using Regression Discontinuity Design

题名：	Investigating the Influence of a New Ride-Hailing Policy on Air Quality Using Regression Discontinuity Design
正文语种：	eng
作者：	Mengna Li;Xiongfeng Pan;Sai Yuan;Shenghan Feng
作者单位：	Dalian Univ. of Technology;Dalian Univ. of Technology;Dalian Univ. of Technology;Dalian Univ. of Technology
关键词：	New ride-hailing policy;Air quality;Regression discontinuity design (RDD)
摘要：	Abstract With the increase in the number of ride-hailing, traffic congestion and environmental pollution have been exacerbated. A new ride-hailing policy was formed as a means of administrative control to reduce the negative externalities. However, the improvement in air quality caused by the new ride-hailing policy has not been effectively verified. This study employed regression discontinuity design (RDD) to explore the causal relationship between the air quality in Beijing and the new ride-hailing policy to reduce the endogeneity problems. The main results show that the implementation of the new policy reduces air quality index (AQI), particulate matter 10 (PM10), and ozone (O3) by 14%, 12%, and 16%, respectively, in the ordinary least squares (OLS) regression analysis. After applying the RDD, this study finds that the implementation of the new policy reduces AQI, PM10, and O3 by 43%, 30%, and 42%, respectively. The regression value of RDD is higher than that of OLS regression. Additionally, the robustness test reveals that RDD is reasonable. The findings suggest that the implementation of the new ride-hailing policy exerts an improvement effect on air quality. Policy implications to further promote the new ride-hailing policy are hence discussed.
出版年：	2023
期刊名称：	Journal of Urban Planning and Development
卷：	149
期：	1
页码：	05022051.1-05022051.11