The Societal Impact of Sharing Economy Platform Self-Regulations-An Empirical Investigation

• 成果类型: Article
• 署名作者: Han, Wencui; Wang, Xunyi; Ahsen, Mehmet Eren; Wattal, Sunil
• 署名单位: University of Illinois System; University of Illinois Urbana-Champaign; Baylor University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.2021.1044
• 发表日期: 2022
• 页码: 1303-1323
• 关键词: geographically weighted regression; crime; Airbnb; trust; HOME

摘要

The rise of the sharing economy has disrupted traditional industries and has had many unforeseen societal impacts. This has sparked policy debates on whether and how the sharing economy should be regulated to promote the healthy growth of such markets. In this research, we examine the impact of platform selfregulations in the context of the home-sharing market. Using policy changes that reduce the number of Airbnb listings, we deploy a difference-in- difference approach to empirically test the impact of platform self-regulations on crime rate. Our results suggest that a reduction in Airbnb listings resulting from platform self- regulations leads to a reduction in crime. We further study the impact of these policy changes on different types of crime and find that these self-regulations lead to a reduction in incidents of crimes such as assault, robbery, and burglary but an increase in theft incidents. In addition, we use geographically weighted regression to investigate the heterogeneous effects of Airbnb occupancy on different types of neighborhoods, and we show that income, housing price, and population moderate the impact of the regulations. This research contributes to our understanding of the societal impacts of the sharing economy and the impact of platform self-regulation. Our findings also provide empirical evidence to inform policy making.