Affiliation:
1. School of Mathematics and Statistics, Minnan Normal University, Zhangzhou, Fujian, China
2. School of Business, Wuyi University, Wuyishan, Fujian, China
Abstract
Based on the Internet Finance development index developed by Peking University in investigating 31 provinces, we use social network analysis to investigate the spatial correlation and influencing factors of the Internet Finance of China’s provinces. The research shows that the spatial correlation of Internet Finance of China’s provinces has significant characteristics of a regional gradient. The correlation among their correlation is moderate, more closely related, smooth, or weak. All provinces gather to form four plates; they play their respective functional advantages and have different statuses, functions, and roles. The differences between provinces in industrial structure, degree of marketization, infrastructure, degree of informatization, and geographical distance significantly affect the spatial correlation of Internet finance development in China, and the degree of influence decreases in turn. Our results might positively affect policymakers in promoting the coordinated development of regional Internet finance in China.
Funder
National Natural Science Foundation of Fujian Province
Social Science Foundation of Fujian Province
Subject
General Social Sciences,General Arts and Humanities