Guangyu Cao , Li-An Zhou , Chang Liu , Jingxin Zhou
{"title":"The effects of the entries by bike-sharing platforms on urban air quality","authors":"Guangyu Cao , Li-An Zhou , Chang Liu , Jingxin Zhou","doi":"10.1016/j.ceqi.2023.09.003","DOIUrl":null,"url":null,"abstract":"<div><p>We study the effects of bike-sharing usage on urban air quality in China. Our Difference-in-Differences strategy exploits the staggered entries by two leading bike-sharing companies, ofo and Mobike, and utilizes city-day panel data. We find that the entries of the two bike-sharing platforms can reduce PM<sub>2.5</sub> by 3.832 μg/m<sup>3</sup>. Further analyses imply that the effects are more conspicuous on pollutants from the exhaust emission of vehicles, increase with the usage intensity of bike-sharing service, and are more pronounced in cities with well-developed rail transit or those located in the Beijing-Tianjin-Hebei Air Pollution Transmission Channel.</p></div>","PeriodicalId":100238,"journal":{"name":"China Economic Quarterly International","volume":"3 3","pages":"Pages 213-224"},"PeriodicalIF":1.9000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Economic Quarterly International","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666933123000333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
We study the effects of bike-sharing usage on urban air quality in China. Our Difference-in-Differences strategy exploits the staggered entries by two leading bike-sharing companies, ofo and Mobike, and utilizes city-day panel data. We find that the entries of the two bike-sharing platforms can reduce PM2.5 by 3.832 μg/m3. Further analyses imply that the effects are more conspicuous on pollutants from the exhaust emission of vehicles, increase with the usage intensity of bike-sharing service, and are more pronounced in cities with well-developed rail transit or those located in the Beijing-Tianjin-Hebei Air Pollution Transmission Channel.