中国省际数字普惠金融的空间关联特征及影响研究  

Research on the Spatial Correlation Characteristics and the Influence of China's Inter-provincial Digital Inclusive Finance

作　　者：王江[1] 赵川 Wang Jiang;Zhao Chuan(School of Economics and Management,Shihezi University,Shihezi 832000,Xinjiang,China)

机构地区：[1]石河子大学经济与管理学院,新疆石河子832000

出　　处：《金融发展研究》2021年第4期8-15,共8页Journal Of Financial Development Research

摘　　要：本文测度了2011—2018年中国省际数字普惠金融的空间关联关系,利用社会网络分析法和QAP方法,考察了数字普惠金融空间关联网络的结构特征及影响因素。研究发现:(1)中国省际数字普惠金融空间关联呈现典型的网络结构,且在考察期内,空间关联联系逐步增加,网络稳定性逐渐提高。(2)中国省际数字普惠金融可划分为四个板块,北京、天津、山东等较强经济实力的省(市)组成“净受益板块”,江苏、广东、浙江等沿海发达的省份组成“双向溢出板块”,湖北、湖南、河南等经济增长活跃的省份组成“经纪人板块”以及青海、新疆、西藏等经济发展落后的省(自治区)组成“净溢出板块”。(3)中国数字普惠金融的溢出效应存在梯度性,板块2和板块3是数字普惠金融发展的发动机,它将动能传给板块4,板块4再将动能传给板块1。(4)地理位置、城乡收入差距、人均GDP、城镇化率以及信息化水平的差异可以解释63.4%的空间关联关系变动。This paper measures the spatial relationship of the inter-provincial digital inclusive finance in China from 2011 to 2018.Using the social network analysis method and QAP method,this paper studies the structural characteristics and influencing factors of the spatial relationship network of digital inclusive finance.The results show that:(1)the inter-provincial spatial association of digital inclusive finance in China presents a typical network structure;the spatial association and the network stability gradually increase during the investigation period;(2)China's interprovincial digital inclusive finance can be divided into four sectors.To be specific,Beijing,Tianjin,Shandong and other provinces with strong economic strength form the"net benefit plate";Jiangsu,Guangdong,Zhejiang and other coastal developed provinces form the"two-way spillover plate";Hubei,Hunan,Henan and other provinces with active economic growth form the"broker plate"and other provinces with backward economic development like Qinghai,Xinjiang,Tibet and form the"net spillover plate";(3)The spillover effect of China's digital Inclusive Finance is gradient.Plates 2 and 3 are the engines of the development of digital inclusive finance,which can transfer the kinetic energy to plate 4 and plate 4 to plate 1;(4)the spatial correlation of 63.4%can be explained by geographical proximity,similar income gap between urban and rural areas,and differences in per capita GDP,urbanization rate and the information level.

关 键 词：数字普惠金融 空间关联 社会网络分析 

分 类 号：F832[经济管理—金融学]