边疆少数民族连片特困地区多维贫困测度及空间分异——以新疆和田地区为例

发布时间：2018-02-07 17:11

  本文关键词： 多维贫困 连片特困地区 少数民族　出处：《湖北民族学院学报(哲学社会科学版)》2017年03期 　论文类型：期刊论文

【摘要】：边疆少数民族连片特困地区的贫困问题具有民族性和地域性特点,贫困程度较深,贫困呈现多元化。由于单一的收入维度测算贫困的方法无法全面反映农户的贫困全貌,因此运用AF多维贫困测量方法对和田地区6个县市11个乡镇305个农户的多维贫困进行测量并分析空间分布差异。研究结果表明:该地区存在严重的多维贫困,多维贫困指数(k=3)达到36.3%,多维重度贫困指数(k=5)达到20.05%。从多维贫困指数按指标分解来看,耕地面积、劳动力文化程度、项目技能培训、人均纯收入、信息等指标对多维贫困指数的贡献率较高,是农户陷入贫困的主要原因;从多维贫困指数按县市分解来看,各县市存在不同程度的多维贫困,和田县和于田县多维贫困问题更为突出。最后,根据分析的结论提出了相关的对策建议。
[Abstract]:The poverty problem of the border ethnic minority areas with special difficulties has the characteristics of nationality and region, the degree of poverty is deep and the poverty is diversified. Because the method of measuring poverty in a single income dimension can not fully reflect the overall picture of peasant households' poverty. Therefore, the multi-dimensional poverty measurement method of AF is used to measure the multidimensional poverty of 305 rural households in 11 villages and towns in 6 counties and cities in Hotan area, and the difference in spatial distribution is analyzed. The results show that there is serious multidimensional poverty in this area. The multidimensional poverty index has reached 36.3%, and the multidimensional and severe poverty index has reached 20.05.From the multidimensional poverty index, the area of cultivated land, the education level of the labor force, the training of project skills, and the per capita net income are analyzed according to the index. The contribution rate of information and other indicators to the multidimensional poverty index is high, which is the main reason for farmers to fall into poverty. According to the decomposition of the multi-dimensional poverty index by county and city, there are different degrees of multi-dimensional poverty in each county and city. The multidimensional poverty in Hetian County and Yutian County is more prominent. Finally, the relevant countermeasures and suggestions are put forward according to the conclusion of the analysis.
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本文编号：1494885