讲座：Online Food Delivery Platforms and Female Labor Force Participation
题 目：Online Food Delivery Platforms and Female Labor Force Participation
嘉 宾：Siqi Pei, PhD candidate, Chinese University of Hong Kong
主持人：魏煊 助理教授 上海交通大学安泰经济与管理学院
时 间：2021年10月19日（周二） 15:30-17:00
地 点：腾讯会议 (校内师生如需会议号和密码，请发送电邮至xuziqing@sjtu.edu.cn获取)
Female labor force participation is often explained by factors such as schooling, wage gap, fertility, etc. We identify how technology-induced time savings from household chores led to increased female labor force participation in South Korea. Using a leads-and-lags difference-in-differences model, we find that the entry of an online food delivery platform significantly increased the female employment rate in the next three years. We estimate the positive externality generated by the online food delivery platform: this new technology- induced female employment accounts for 0.27% of South Korea’s GDP, or 17 times the revenue of the online food delivery platform. The positive externalities dwarf the direct revenue generated by the platforms.
Siqi Pei is a Ph.D. candidate in Decision Sciences and Managerial Economics at CUHK Business School, Hong Kong. Before her PhD, she received her bachelor’s degree in both Actuarial Science and Applied Finance in China. Siqi’s research interests revolve around Economics of IS, Intelligent Systems, IT value, Digital Platforms, Business Analytics, Financial Technologies, and Policy. Currently, she has several papers under major revision at top-tier journals including Management Science and Information Systems Research. She won the Best Paper Award at the 31st Workshop on Information Systems and Economics (WISE) 2020 and her dissertation has been accepted by the ICIS Doctoral Consortium 2021. Besides the research studies, one of Siqi’s innovation project proposals on Artificial Intelligence Modelling Framework for investment advising has been awarded by the Hong Kong Information and Communication Technologies (HKICT) in 2019. Prior to her academic career, Siqi has full-time working experience as a data analyst and financial reporter in Beijing.