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<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2409-1634</journal-id><journal-title-group><journal-title>Research result. Economic Research</journal-title></journal-title-group><issn pub-type="epub">2409-1634</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413 / 2409-1634-2015-1-3-19-37</article-id><article-id pub-id-type="publisher-id">274</article-id><article-categories><subj-group subj-group-type="heading"><subject>WOLD ECONOMY</subject></subj-group></article-categories><title-group><article-title>AN EMPIRICAL ANALYSIS OF REGIONAL DISPARITY OF INFLUENCE FACTORS ON FINANCIAL EXCLUSION BASED ON TYPES AND LEVELS OF FINANCIAL INSTITUTION IN CHINA</article-title><trans-title-group xml:lang="en"><trans-title>AN EMPIRICAL ANALYSIS OF REGIONAL DISPARITY OF INFLUENCE FACTORS ON FINANCIAL EXCLUSION BASED ON TYPES AND LEVELS OF FINANCIAL INSTITUTION IN CHINA</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Yongbin</surname><given-names>LV</given-names></name><name xml:lang="en"><surname>Yongbin</surname><given-names>LV</given-names></name></name-alternatives><email>lvyongbin@znufe.edu.cn</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Xianping</surname><given-names>Zhou</given-names></name><name xml:lang="en"><surname>Xianping</surname><given-names>Zhou</given-names></name></name-alternatives></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Yingying</surname><given-names>Y I</given-names></name><name xml:lang="en"><surname>Yingying</surname><given-names>Y I</given-names></name></name-alternatives></contrib></contrib-group><pub-date pub-type="epub"><year>2015</year></pub-date><volume>1</volume><issue>3</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/economic/2015/3/econ2.pdf" /><abstract xml:lang="ru"><p>We make an empirical analysis of regional characteristics of influence factors on financial exclusion by using the data of types and levels of financial institutions in the nation from 1998 to 2012. The study shows the number of financial institution nodes continues to increase, but with uneven distributions; the density of financial institutions increases steadily and the gap between the eastern and the Midwest is huge; the commercial banks of the eastern region account for the highest but the rate of the commercial bank basic outlets is low and the rate of the rural institution bank basic outlets is relatively higher, in addition the proportion of the Midwest rural banks is high. Even though the financial exclusion eases, large differences still exist in different areas and the situation is rather critical in rural areas, especially the financial exclusion in western rural areas is the worst. The economic development level, the area scale, the government expenditure, the personal savings level, the per capita consumption and the educational level have different effects on financial exclusion. Accordingly, the author puts forward the advice of coordinating the financial resource from all regions and reducing the regional financial exclusion</p></abstract><trans-abstract xml:lang="en"><p>We make an empirical analysis of regional characteristics of influence factors on financial exclusion by using the data of types and levels of financial institutions in the nation from 1998 to 2012. The study shows the number of financial institution nodes continues to increase, but with uneven distributions; the density of financial institutions increases steadily and the gap between the eastern and the Midwest is huge; the commercial banks of the eastern region account for the highest but the rate of the commercial bank basic outlets is low and the rate of the rural institution bank basic outlets is relatively higher, in addition the proportion of the Midwest rural banks is high. Even though the financial exclusion eases, large differences still exist in different areas and the situation is rather critical in rural areas, especially the financial exclusion in western rural areas is the worst. The economic development level, the area scale, the government expenditure, the personal savings level, the per capita consumption and the educational level have different effects on financial exclusion. Accordingly, the author puts forward the advice of coordinating the financial resource from all regions and reducing the regional financial exclusion</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Financial Exclusion</kwd><kwd>Types and Levels of Financial Institutions</kwd><kwd>Regional Disparity</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Financial Exclusion</kwd><kwd>Types and Levels of Financial Institutions</kwd><kwd>Regional Disparity</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>Gao Peixing, Wang Xiuhua. Regional Differences and Influencing Factors of Rural Financial Exclusion in China based on the Empirical Analysis of Provincial Panel Data [J]. Agricultural Technology Economy. 2011(4). Pр. 93-102.</mixed-citation></ref><ref id="B2"><mixed-citation>Jin Xuejun, Tian Lin. The Analysis of Regional Financial Discrepancies from an Angle of Financial Geography [J]. 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