https://orcid.org/0000-0002-1382-408X
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ABSTRACT
This paper explores the effect of government supervision on the development of FFBS by analyzing massive travel information data. Our identification strategy exploits a natural experiment focusing on Mobike in Chengdu. We find that supervision does not necessarily suppress the development of FFBS. It also allows FFBS to increase its focus on alleviating the pressure of public transport and reducing the consumption of public resources. Moreover, we identify that the impact of government supervision on weekends is considerably more significant than on weekdays given that government supervision has a significant suppression effect on the FFBS travel behavior of scattered parking, leisure, and long distance. In contrast, the effect of government supervision on the FFBS travel behavior of commuting and schooling is not significant. We finally present implications for government and operators of FFBS, especially in developing countries, on the sustainable development of FFBS.
Acknowledgments
The authors sincerely thank the editors and anonymous reviewers for their constructive comments and suggestions. This research is partially supported by the National Natural Science Foundation of China under the grant nos. 72004062, 71971027, 91746110, and 71521002; National Key Research and Development Project of China under the grant no. 2018YFB1701802; Beijing Philosophy and Social Science Foundation under the grant no.19JDGLB017; the Special Items Fund of Beijing Municipal Commission of Education.
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No potential conflict of interest was reported by the author(s).
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Notes on contributors
Linfeng Li
Linfeng Li is Lecturer of Business School at the Hunan Agricultural University. She received her Ph.D. in School of Business Administration at the Hunan University. She has also spent one year in doctoral student with National University of Singapore. Her current research interests include sharing economy, E-business, and data mining.
Guo Li
Guo Li is a research professor at Guilin University of Electronic Technology, and full professor at Beijing Institute of Technology, Beijing, China. He has obtained his Ph.D. from Huazhong University of Science and Technology. His research interests include green supply chain management, data-driven decision analytics, and operation management and marketing interface. He has authored/edited several research handbooks and published over 50 papers in peer-refereed academic journals, such as Journal of Operations Management, Decision Sciences, Naval Research Logistics, European Journal of Operational Research, Transportation Research Part E: Logistics and Transportation Review, International Journal of Production Economics, International Journal of Production Research, Annals of Operations Research, and IEEE Transactions on Industrial Informatics. He is currently serving as an associate editor for Information Technology and People, and International Journal of Advanced Pervasive and Ubiquitous Computing, managing guest editor for Annals of Operations Research, Transportation Research Part E: Logistics and Transportation Review, and International Journal of Logistics Research and Applications, and an editorial review board member for Production and Operations Management.
Sheng Liang
Sheng Liang is Lecturer of School of Business Administration at the Hunan University. She is a Ph.D. candidate and received her Master of Economics in School of Business Administration at the Hunan University and she received her Master of research in Nottingham University. Her current research interest is in the area of green supply chain and E-business.