中国省际金融创新的空间关联及影响因素分析  

Spatial Correlation and Influencing Factors Analysis of China's Inter-provincial Financial Innovation

作　　者：韩景旺 李林汉 Han Jingwang;Li Linhan(Hebei Key Laboratory of Science and Technology Finance,Hebei University of Finance,Baoding Hebei 071051,China;School of Economics,Minzu University of China,Beijing 100081,China)

机构地区：[1]河北金融学院河北省科技金融重点实验室,河北保定071051 [2]中央民族大学经济学院,北京100081

出　　处：《统计与决策》2023年第20期136-140,共5页Statistics & Decision

基　　金：河北省教育厅高等学校科技重点项目(ZD2022038)。

摘　　要：文章从金融技术创新、金融市场创新、金融监管创新和金融生态创新这四个方面构建金融创新评价指标体系,测算出2011—2021年中国31个省份的金融创新水平,采用社会网络分析法对金融创新的空间网络关联特征分析,并利用二次指派程序法对金融创新水平差异的影响因素进行研究。结果显示:我国金融创新的空间关联显著,各地直接或间接都存在联系,金融创新空间关联网络较为稳定;江苏、上海、北京、浙江、广东、福建在金融创新空间关联网络中处于中心地位;经济发展水平、人力资本水平、城镇化和物质资本积累水平的差异会扩大地区之间金融创新水平差距。This paper constructs an evaluation index system of financial innovation from four aspects:financial technology innovation,financial market innovation,financial supervision innovation and financial ecological innovation,and calculates the financial innovation level of 31 provinces in China from 2011 to 2021.Then,the paper adopts SNA(Social Network Analysis)to analyze the spatial network correlation characteristics of financial innovation,and finallyuses QAP(Quadratic Assignment Procedure)to study the factors affecting the difference of financial innovation level.The results go as below:The spatial correlation of financial innovation in China is significant,and the spatial correlation network of financial innovation is relatively stable.Jiangsu,Shanghai,Beijing,Zhejiang,Guangdong and Fujian occupy the central position in the spatial correlation network of financial innovation.The differences in economic development level,human capital level,urbanization level and material capital accumulation level will widen the differences in financial innovation level between regions.

关 键 词：金融创新 空间网络 社会网络分析 二次指派程序 

分 类 号：F832[经济管理—金融学]