中国农民收入区域差异及影响因素分析

发布时间：2018-03-05 11:26

本文选题：农民收入差距　切入点：泰尔指数　出处：《地理科学》2017年10期 　论文类型：期刊论文

【摘要】：利用2004~2015年全国31个省(市)农民收入的有关数据,采用泰尔指数(Theil Index)测算出全国农民收入差距,将中国分为粮食主产区、粮食主销区、粮食产销平衡区三大功能区域,分解出三大功能区域组间差距和组内差距,并计算组间差距和组内差距分别对总收入差距贡献率。结果表明:2004~2006年全国各省农民收入差距变大,而2007~2015年逐渐缩小。经过进一步计算,组间差距对全国农民收入差距的贡献率达到70%,组内差距达到30%,可以看出,中国农民收入在粮食主产区、粮食主销区、粮食产销平衡区中区域间差距远大于区域内差距。用多元回归模型分析全国农民收入差距的影响因素,得出第一产业占GDP的比重、城镇化率、农村金融发展规模等指标与泰尔指数呈负相关,工业化率、比较劳动生产率与泰尔指数呈正相关,据此提出相应对策建议。
[Abstract]:Based on the relevant data of farmers' income in 31 provinces (cities) in China from 2004 to 2015, the income gap of farmers in China is calculated by using Theil Index, which divides China into three major functional areas: the main grain producing area, the main grain marketing area and the grain production and marketing equilibrium area. The differences between three functional regions and within groups are decomposed, and the contribution rates of inter-group and intra-group disparities to the total income gap are calculated respectively. The results show that the income gap of farmers in different provinces of the whole country becomes larger from April to 2006. However, from 2007 to 2015, the contribution rate of the gap between groups to the income gap of farmers reached 70 and the gap within the group reached 30. It can be seen that the income of Chinese farmers is in the main grain producing areas and the main grain distribution areas. The difference between regions in the balanced region of grain production and marketing is far greater than that within the region. The factors influencing the income gap of farmers in China are analyzed by using multiple regression models, and the proportion of primary industry in GDP and the rate of urbanization are obtained. The scale of rural financial development is negatively correlated with Tyr index, and the industrialization rate, the comparison of labor productivity and Tyr index are positively correlated, and the corresponding countermeasures and suggestions are put forward.
【作者单位】：吉林农业大学经济管理学院;
【基金】：国家自然科学基金项目(71640039) 吉林省科技厅项目(20160418021FG)资助~~
【分类号】：F323.8

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