Abstract
Few studies have quantitatively analyzed the causes of the uneven development of fintech inclusion. We explore the factors influencing regional differences in China's fintech inclusion by focusing on the influencing factors' spatiotemporal heterogeneity. Fuzzy best-worst, standard deviation ellipse, and geographically temporally weighted regression methodologies were used to investigate the spatiotemporal evolution and influencing factors for 2011–2019. China's fintech inclusion has a higher persistent spatial imbalance in the east and a lower in the central and western regions. Regarding the spatial heterogeneity of influencing factors, we find that the effects of economic development, financial supervision, transportation convenience, population structure and education level show obvious east-west differences. Regarding temporal heterogeneity, we find over our period that the impacts of economic development and financial supervision on fintech inclusion changed from negative to positive, with the positive effects of education level and population structure decreasing. We offer a framework for measuring regional fintech inclusion and practical policy suggestions for promoting coordinated development.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
