广东城乡居民收入差距影响因素研究

发布时间：2019-05-12 08:08

【摘要】：广东省经济经过改革开放三十多年的快速发展，经济发展水平和居民收入都得到大幅度的提高，但广东省城市和农村之间的收入和消费差距，都反映出典型的不平等趋势，城乡基尼系数逐年提高。本文首先选取城乡收入比作为衡量城乡收入差距的指标，对广东省城乡收入差距的现状和趋势进行比较分析，，得出广东省城乡收入差距明显偏高。然后将影响广东省城乡收入差距的各因素划分为两类，根据指标确定性和度量上的难易度，选取了GDP总量、非农业人口占比等十八个相关统计指标，并分别对两类影响因素的各统计指标作主成份分析。对提取的四个主成份进行平稳性检验和相关性分析之后，使用多元线性回归模型，得到城乡收入比和四个主成份的标准化回归方程，最后得出广东省城乡收入比与各统计指标之间的关系。实证分析的结果表明，第二产业增加值占GDP比重、第三产业增加值占GDP比重、城镇登记失业率、城乡固定资产投资额对比和财政支农支出占财政总支出比重这五个统计指标起到缩小城乡收入差距的作用，而剩余的十三个统计指标则具有扩大城乡收入差距的效应。在文章的最后，通过借鉴各国和地区缩小城乡收入差距的经验，并结合前文分析提出缩小广东省城乡收入差距的对策建议。
[Abstract]:After more than 30 years of rapid economic development after more than 30 years of reform and opening up, the level of economic development and the income of residents have been greatly improved, but the income and consumption gap between urban and rural areas in Guangdong Province reflects a typical trend of inequality. The Gini coefficient between urban and rural areas is increasing year by year. In this paper, the urban-rural income ratio is selected as the index to measure the urban-rural income gap, and the present situation and trend of the urban-rural income gap in Guangdong Province are compared and analyzed, and it is concluded that the urban-rural income gap in Guangdong Province is obviously high. Then the factors that affect the income gap between urban and rural areas in Guangdong Province are divided into two categories. According to the certainty of the index and the difficulty of measurement, 18 related statistical indicators, such as the total amount of GDP and the proportion of non-agricultural population, are selected. Each statistical index of the two kinds of influencing factors was analyzed by principal component analysis. After the stability test and correlation analysis of the four principal components, the standardized regression equations of urban-rural income ratio and four principal components were obtained by using multiple linear regression model. Finally, the relationship between urban-rural income ratio and statistical indicators in Guangdong province is obtained. The results of empirical analysis show that the added value of the secondary industry accounts for the proportion of GDP, the added value of the tertiary industry accounts for the proportion of GDP, and the registered unemployment rate of cities and towns. The comparison of urban and rural fixed assets investment and the proportion of fiscal expenditure to total fiscal expenditure play an important role in narrowing the income gap between urban and rural areas, while the remaining 13 statistical indicators have the effect of widening the income gap between urban and rural areas. At the end of the article, by drawing lessons from the experience of countries and regions to narrow the income gap between urban and rural areas, and combined with the previous analysis, this paper puts forward some countermeasures and suggestions to narrow the income gap between urban and rural areas in Guangdong Province.
【学位授予单位】：广东商学院
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F124.7

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