Youxin Hu , Shaoqing Huang , Ming Jiang , Xiaoshu Xu
{"title":"交通违规与经济偏好:来自中国一家大型运输网络公司专职司机的证据","authors":"Youxin Hu , Shaoqing Huang , Ming Jiang , Xiaoshu Xu","doi":"10.1016/j.chieco.2024.102255","DOIUrl":null,"url":null,"abstract":"<div><p>Safety has been a consistent issue with the rise of transportation network companies (TNCs), especially in China with annual revenue exceeding 1.5 trillion CNY. In this paper, we explore intrinsic factors that can influence the risky behavior of TNC drivers by investigating the link between their economic preference parameters and traffic violations. We measure the economic preferences of 160 full-time drivers on a large Chinese TNC platform and examine their violations over the previous 13 months. We have four major findings. First, more risk-averse drivers have less violations. Second, present bias and patience do not affect drivers' risky behavior except that more patient drivers commit more direction|sign violations, which may have been caused by the higher expectation of the gain from such a violation of patient drivers. Third, reciprocity reduces violations of all types. Drivers' belief of other people's pro-social inclination only affects dangerous violations with long duration, i.e., speeding, in which case they take advantage of other people's attentiveness. And finally, we find no evidence of driver fatigue. These results highlight how the advantage of TNC platforms in managing drivers' incentive can affect the negative externality drivers impose through risky driving behavior, and hence provide policy implications.</p></div>","PeriodicalId":48285,"journal":{"name":"中国经济评论","volume":"87 ","pages":"Article 102255"},"PeriodicalIF":5.2000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Traffic violations and economic preferences: Evidence from full-time drivers of a large transportation network company in China\",\"authors\":\"Youxin Hu , Shaoqing Huang , Ming Jiang , Xiaoshu Xu\",\"doi\":\"10.1016/j.chieco.2024.102255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Safety has been a consistent issue with the rise of transportation network companies (TNCs), especially in China with annual revenue exceeding 1.5 trillion CNY. In this paper, we explore intrinsic factors that can influence the risky behavior of TNC drivers by investigating the link between their economic preference parameters and traffic violations. We measure the economic preferences of 160 full-time drivers on a large Chinese TNC platform and examine their violations over the previous 13 months. We have four major findings. First, more risk-averse drivers have less violations. Second, present bias and patience do not affect drivers' risky behavior except that more patient drivers commit more direction|sign violations, which may have been caused by the higher expectation of the gain from such a violation of patient drivers. Third, reciprocity reduces violations of all types. Drivers' belief of other people's pro-social inclination only affects dangerous violations with long duration, i.e., speeding, in which case they take advantage of other people's attentiveness. And finally, we find no evidence of driver fatigue. These results highlight how the advantage of TNC platforms in managing drivers' incentive can affect the negative externality drivers impose through risky driving behavior, and hence provide policy implications.</p></div>\",\"PeriodicalId\":48285,\"journal\":{\"name\":\"中国经济评论\",\"volume\":\"87 \",\"pages\":\"Article 102255\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2024-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中国经济评论\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1043951X24001445\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国经济评论","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1043951X24001445","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Traffic violations and economic preferences: Evidence from full-time drivers of a large transportation network company in China
Safety has been a consistent issue with the rise of transportation network companies (TNCs), especially in China with annual revenue exceeding 1.5 trillion CNY. In this paper, we explore intrinsic factors that can influence the risky behavior of TNC drivers by investigating the link between their economic preference parameters and traffic violations. We measure the economic preferences of 160 full-time drivers on a large Chinese TNC platform and examine their violations over the previous 13 months. We have four major findings. First, more risk-averse drivers have less violations. Second, present bias and patience do not affect drivers' risky behavior except that more patient drivers commit more direction|sign violations, which may have been caused by the higher expectation of the gain from such a violation of patient drivers. Third, reciprocity reduces violations of all types. Drivers' belief of other people's pro-social inclination only affects dangerous violations with long duration, i.e., speeding, in which case they take advantage of other people's attentiveness. And finally, we find no evidence of driver fatigue. These results highlight how the advantage of TNC platforms in managing drivers' incentive can affect the negative externality drivers impose through risky driving behavior, and hence provide policy implications.
期刊介绍:
The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.