中国城乡金融发展与基尼系数的灰色关联分析

摘要

The paper uses six indicators to reflect urban and rural financial development level of China.Then it uses the grey relational analysis model to analyze the impacts of financial development in urban and rural areas on Gini coefficient from 2003 to 2011.The results show that financial structure,the efficiency of financial intermediation,input-output ratio of fixed asset and financial industry labor have the greatest influences on Gini coefficient.Finally,it puts forward the financial measures to reduce the income gap between urban and rural residents.%用6个指标反映中国城乡金融发展水平,并利用灰色关联分析模型,分析2003-2011年中国城乡金融发展对基尼系数的影响.研究结果显示:金融结构、金融中介效率、固定资产投入产出比和金融行业劳动力对基尼系数的影响最大.最后提出缩短城乡居民收入差距的金融对策.