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农村社区型金融机构发展影响因素的实证分析
引用本文:许桂红,刘娇.农村社区型金融机构发展影响因素的实证分析[J].沈阳工业大学学报(社会科学版),2013,6(3):220-226.
作者姓名:许桂红  刘娇
作者单位:1. 沈阳工业大学 经济学院, 沈阳 110870; 2. 沈阳建筑大学 纪律检查委员会, 沈阳 110168
基金项目:教育部人文社会科学研究青年基金项目,辽宁省社会科学界联合会课题
摘    要:由于具有市场、信息、成本、区域等方面的竞争优势,农村社区型金融机构已经成为我国农村金融机构创新的首要途径。虽然自2005年以来我国不断出台相关鼓励政策和措施,但农村社区型金融机构的发展却仍然不尽如人意。为更好地促进其发展,利用向量误差修正模型,首次从定量的角度明确影响农村社区型金融机构发展的现实因素及其影响程度。研究结果表明,财政收入、城乡居民储蓄存款余额及农村居民消费水平对农村社区型金融机构的发展影响最为显著。

关 键 词:农村社区  农村金融  金融机构  社区型金融机构  向量误差修正模型  格兰杰因果检验  实证研究  

Empirical analysis on influencing factors of development of rural community financial institutions
XU Gui-hong , LIU Jiao.Empirical analysis on influencing factors of development of rural community financial institutions[J].Journal of Shenyang University of Technology(Social Science Edition),2013,6(3):220-226.
Authors:XU Gui-hong  LIU Jiao
Institution:1. School of Economics, Shenyang University of Technology, Shenyang 110870, China; 2. Discipline Inspection Commission, Shenyang Jianzhu University, Shenyang 110168, China
Abstract:Because of the competitive advantages of market, information, cost and region, etc., rural community financial institutions have become the first choice of innovation of rural financial institution in China. Though relevant encouraging policies and measures are constantly issued since 2005, the development of rural community financial institution is still not satisfactory. In order to promote the development of rural community financial institution better, the vector error correction model is applied, and the practical influencing factors and their inflencing degrees of development of rural community financial institution are clarified from quantitative perspective for the first time. The research result shows that the government fiscal income, the savings deposits of urban and rural residents, and the consumption level of rural residents have most important inflences on the development of rural community financial institution.
Keywords:rural community  rural finance  financial institution  community financial institution  vector error correction model  Granger causality test  empirical study  
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