我国城乡收入差距影响因素分解与门槛效应研究

发布时间：2019-01-04 16:54

【摘要】：将影响城乡收入差距的因素分解为对外开放程度、教育发展水平、金融发展水平、经济发展水平、市场化进程和城镇化进程,采用2005—2015年31个省市区面板数据进行夏普利值分解,结果表明经济发展、市场化和城镇化对城乡收入差距的贡献率较大,而对外开放、教育发展和金融发展对城乡收入差距的贡献率较小。线性回归分析表明扩大对外开放、深化市场化改革、加快经济和金融发展以及推进城镇化均有利于缩小城乡收入差距。进一步采用以经济发展水平为门槛变量的门槛效应模型的分析表明,经济发展对城乡收入差距的影响作用呈现倒U形曲线,而且经济发展水平越高,教育发展、金融发展、经济发展、市场化和城镇化等因素缩小城乡收入差距的作用越大。因此,要缩小城乡收入差距,必须加快欠发达地区的经济发展、对外开放、金融发展以及市场化和城镇化进程。
[Abstract]:The factors that affect the income gap between urban and rural areas are divided into the degree of opening to the outside world, the level of educational development, the level of financial development, the level of economic development, the process of marketization and the process of urbanization, Using the panel data of 31 provinces and municipalities from 2005 to 2015 to decompose the Sharpley value, the results show that economic development, marketization and urbanization contribute a lot to the income gap between urban and rural areas. The contribution rate of educational development and financial development to the income gap between urban and rural areas is relatively small. Linear regression analysis shows that opening wider to the outside world, deepening market-oriented reform, speeding up economic and financial development and promoting urbanization are all conducive to narrowing the income gap between urban and rural areas. The further analysis of the threshold effect model, which takes the level of economic development as the threshold variable, shows that the effect of economic development on the income gap between urban and rural areas shows an inverted U-shaped curve, and the higher the level of economic development, the higher the educational and financial development. Economic development, marketization and urbanization and other factors to narrow the urban-rural income gap the greater the role. Therefore, in order to narrow the income gap between urban and rural areas, we must speed up the economic development, opening to the outside world, financial development, and the process of marketization and urbanization in less developed areas.
【作者单位】：安徽财经大学统计与应用数学学院;
【基金】：国家社会科学基金青年项目(11CTJ006)
【分类号】：F124.7

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