The Impact of Gig Economy on Entrepreneurial Activities: Empirical Evidence from Large Sample Micro Surveys

Abstract

This paper, based on data from the China Household Finance Survey (CHFS) in 2017 and 2019, employs a bivariate logistic regression analysis to examine the factors influencing entrepreneurial activities, analyzing them at both individual and household levels. The study finds that whether an individual has experience in gig economy work, their age stage, residential area attributes (urban-rural differences), and family size all significantly impact participation in entrepreneurial activities. Specifically, gig economy work experience positively promotes entrepreneurial intentions and actions; aging is negatively correlated with entrepreneurial enthusiasm; compared to urban residents, rural residents have a lower proportion of those participating in entrepreneurship; and an increase in family members may provide more resource support and motivation for entrepreneurial activities within certain limits. Based on these findings, the paper proposes a series of policy recommendations and social advocacy measures aimed at optimizing the entrepreneurial environment and stimulating social entrepreneurial vitality.