中国省际金融业效率空间关联结构及影响因素研究

Spatial Correlation Structure and Influencing Factors of Financial Industry′s Input-Output Efficiency in China′s Provinces

为了评估中国省际金融业效率,以2004—2018年金融业统计数据为样本,基于传统DEA模型、DEA视窗模型、社会网络分析和非线性二次指派程序(QAP)等方法,分析中国省际金融业的动静态效率、空间关联结构及影响因素。研究结果表明:中国省际金融业效率呈增长趋势,但总体水平不高,大多数地区存在投入冗余和产出不足问题;从空间格局看,中国省际金融业效率呈现显著的空间关系,地区之间存在明显的等级性,受到经济发展程度、人力资本、对外开放、产业结构和政府支持因素的影响。

In order to evaluate the efficiency of financial industry,based on the statistical data of the financial industry from 2004 to 2018,the traditional DEA model,DEA window model,social network analysis and nonlinear secondary assignment program were used to analyze the dynamic and static efficiency,the spatial correlation structure and influencing factors of financial industry′s efficiency in China′s provinces.The results show that:the efficiency of financial industry showed an increasing trend,and the overall level of the efficiency was not high.At the same time,most provinces and regions have the problem of input redundancy and output insufficiency.From the perspective of spatial pattern,the efficiency of financial industry in China′s provinces presents a significant spatial relationship,and there is a clear hierarchy between regions.In addition,the efficiency of the financial industry is affected by degree of economic development,the human capital,regional opening up and government support.According to the research results,this paper puts forward suggestions to promote the development of financial industry from three aspects.