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我国金融排斥程度省际差异的影响因素研究
引用本文:李春霄,贾金荣.我国金融排斥程度省际差异的影响因素研究[J].西北农林科技大学学报,2014,14(2):120-127.
作者姓名:李春霄  贾金荣
作者单位:[1]西北农林科技大学经济管理学院,陕西杨凌712100 [2]西安石油大学经济管理学院,西安710065
基金项目:国家社科基金项目(08BJL011)
摘    要:近年来,越来越多的研究文献和我国的实际情况都表明我国各省区金融排斥程度状况存在较大的省际差异。为研究金融排斥省际差异的影响因素,文章在已有研究成果的基础上,从经济、社会、人文地理等三个方面构建了相应的评价指标体系,利用相关统计数据和Tobit模型进行了回归分析。计量结果显示,我国金融排斥程度的省际差异受地区工商业化水平、居民的收入水平、城市化水平、住房拥有状况、信息技术水平、地理特征、居民的受教育水平、人口年龄结构等因素的影响显著。根据计量结果,文章提出了要破解金融排斥难题需要促进各地区经济发展,政策要向中西部地区倾斜,提高各地区城市化水平,提高居民受教育水平等政策启示。

关 键 词:金融排斥  影响因素  省际差异  Fobit模型

Factors Affecting Provincial Variation of Extents of Financial Exclusion in China
LI Chun-xiao and JIA Jin-rong.Factors Affecting Provincial Variation of Extents of Financial Exclusion in China[J].Journal of Northwest Sci-Tech University of Agriculture and Forestry(Social Science),2014,14(2):120-127.
Authors:LI Chun-xiao and JIA Jin-rong
Institution:1. College of Economics and Management, Northwest A&F University, Yangling , Shaanxi 712100 2. College of Economics and Management ,Xi' an Shiyou University, Xi' an 710065 ,China)
Abstract:The extents of financial exclusion vary among provinces in China. examine the factors which con tribute to this variation, three categories, namely economic, social and humane factors are considered based on ex- isting literatures. Tobit model is applied to estimate the impact of factors of these three categories using provincial data. Empirical results indicate that geographical characteristics, household income and education level, urbaniza- tion degree, housing ownership and development of information technology, industry and commerce affect signifi- cantly the extent of financial exclusion. Based on the empirical results, the paper gives the policy implications to solve the problem of financial exclusion, such as promoting regional economic development, giving preferential pol- icy to central and western regions, enhancing urbanization degree and promoting residents education level.
Keywords:financial exclusion  determinant factors  provincial variation  Tobit model
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