我国城乡收入差距的区域差异性研究

发布时间：2018-01-19 02:31

本文关键词： 城乡收入差距区域差异性动态因子模型区域特质因子　出处：《湖南大学》2013年硕士论文　论文类型：学位论文

【摘要】：改革开放以来，伴随着经济的高速发展和改革的进一步深化，我国人民的生活水平有了大幅度的提高，但同时我国城乡居民收入差距却在不断扩大，各区域的城乡收入差距已经形成了一定的梯度差异。这种城乡收入差距的区域差异性存在，严重阻碍了我国全面建设小康社会目标的实现以及制约社会和谐稳定的发展大局，成为我国迫切需要解决的一个现实问题，本文定量分析了我国城乡收入差距的区域差异，并对区域差异的原因及影响因素进行了实证探究。本文阐述了城乡收入差距的内涵及其度量方法，对比选择了泰尔指数法来衡量城乡收入差距，，分析了城乡收入差距形成的机理，对城乡收入差距的理论进行了综述。在此基础上，测算了我国东部地区、中部地区及西部地区的城乡收入差距泰尔指数，并利用动态因子模型的状态空间形式以及卡尔曼滤波原理，对我国城乡收入差距泰尔指数进行了分解，得到了城乡收入差距区域共同因子、东部特质因子、中部特质因子、西部特质因子序列，对各区域城乡收入差距区域共同因子及特质因子的贡献率水平进行了测度。结合前文的城乡收入差距影响机理分析以及数据的科学性、合理性及可得性，选取了城市化水平、经济发展程度、产业机构情况、人力资本因素以及金融发展水平五个指标来构建影响城乡收入差距区域共同因子及特质因子的影响因素，再对这些影响因素在全国及各区域的现状进行描述分析的基础上，通过动态因子模型对区域城乡收入差距共同因子及东部、中部、西部城乡收入差距特质因子进行了实证分析，分别得到了区域共同因子及各区域特质因子各指标因素的影响系数序列，并通过VAR方法得出了区域共同因子及各区域影响因素的贡献率水平，对实证结果进行了分析与阐述。根据实证结果，从各影响因素角度出发给出了缩小城乡收入差距区域差异性的建议。同时，从全国缩小城乡收入差距区域差异性的角度出发，提出了缩小各区域城乡收入差距以及统筹不同区域发展的政策建议。
[Abstract]:Since the reform and opening up, with the further deepening of the rapid development of economy and the reform of our country, people's living standard has been greatly improved, but at the same time, the urban-rural income gap in China is growing, the regional income gap between urban and rural areas have formed a gradient difference. The regional differences of the income gap between urban and rural areas, seriously hindered the development of China's overall goal of building a well-off society and realize the restriction of social harmony and stability, has become a real problem in our country is urgent needs to solve, this paper quantitatively analyzes the regional differences of China's urban-rural income gap, causes and influencing factors of the regional difference and made an empirical research.
This paper expounds the connotation of urban-rural income gap and its measurement method, comparison method of the Theil index to measure the income gap between urban and rural areas, analyzes the forming mechanism of the income gap between urban and rural areas, the income gap between urban and rural areas of the theory are reviewed. On this basis, estimates the Theil index of the eastern region of China, the income gap between urban and rural area in central and western regions, and the use of dynamic factor model in state space form and Calman filtering principle, the urban-rural income gap in China Theil index was decomposed to obtain the income gap between urban and rural areas of common factor, Eastern trait factor, central trait factor, Western trait factor sequence for each region, the income gap between urban and rural areas and the characteristics of common factor contribution factor the rate was measured. Combined with the income gap between urban and rural influence mechanism analysis and data science, rationality and availability, Select the city level, the level of economic development, industrial structure, human capital and financial development level of the five indexes to construct the influencing factors of the income gap between urban and rural areas of common factor and trait factors, and the impact of these factors on the national and the regional status quo based on the analysis of the description, the central dynamic factor model the income gap between urban and rural areas in eastern, Western and common factors, the income gap between urban and rural characteristics factor by empirical analysis, obtained coefficient sequence influence regional common factors and regional characteristics factor of each index, and through the VAR method to get the level of regional common factors and regional factors affecting the contribution of the empirical results the analysis and elaboration.
According to the empirical results, from the perspective of the influence factors of narrowing the income gap between urban and regional differences. At the same time, from the point of view of the income gap between urban and rural areas of regional differences in the point of view, put forward the income gap between urban and rural areas and reduce the overall policy recommendations of different regional development.

【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F124.7

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