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少数民族连片特困地区农户多维贫困分析——以新疆南疆三地州为例

Analysis of multidimensional poverty of farmers in the poverty-stricken ethnic minority regions: A case study of three regions of Southern Xinjiang

  • 摘要: 我国少数民族连片特困地区农户贫困多元化现象普遍,从多维视角分析贫困问题对科学制定民族地区扶贫 政策具有重要意义。基于Sen 的能力贫困理论,以新疆南疆三地州为例,构建农户多维贫困指标体系,利用A-F 法对农户的多维贫困程度和各维度对多维贫困的贡献度进行测算和分析,探讨致贫原因。结果表明,南疆三地州 农户家庭不仅在收入维度存在贫困现象,在受教育程度、健康、卫生设施、做饭燃料、安全用水等指标上也表现 出较为严重的贫困状态。三个及以上维度存在剥夺的人口达到了89.1%,多维贫困程度达到了39.8%,多维贫困比 收入贫困更为严重。虽然随着维度的增加,多维贫困覆盖率不断下降,但是贫困强度在逐渐加大;教育、收入和 健康贫困对多维贫困的贡献分别达到了35.73%、19.37% 和11.19%,是多维贫困产生的重要源头。未来反贫困工 作的重点是大力投资教育,促进农牧民增收,加强医疗卫生保障事业的投入,改变并扭转贫困人口落后的思想观念, 建立多维贫困精准瞄准机制。

     

    Abstract: Multidimensional poverty problem of farmers in the poverty-stricken ethnic minority regions is widespread. Analyzing this problem is of great significance for the purpose of formulating poverty reduction policies scientifically. Applying Sen’s Capability Approach and based on three regions of Southern Xinjiang as examples, this paper built a multidimensional poverty index system of farmers to evaluate the level of multidimensional poverty and the contribution of each dimension of multidimensional poverty using A-F method and to explore the cause of poverty. Results show that 1) in these three regions of Southern Xinjiang there are not only serious poverty problem from income perspective, but also from perspectives of education, health, sanitation facility, cooking fuel, water safety; 2) the proportion of three and above index deprived population reaches 89.1% and the level of multidimensional poverty reaches 38.9%; 3) the multidimensional poverty is more serious than income poverty; 4) the multidimensional poverty rates continue to decline with the increasing of dimensions, but the depth of poverty gradually deepens; and 5) the contribution of education, income and health poverty to multidimensional poverty index reach respectively 35.73%, 19.37% and 11.19% respectively and become the main source of multidimensional poverty. This paper suggests that the future focus of poverty reduction needs to invest heavily in education, to increase farmers’ income, to increase investment to medical and health security, to education farmers with new ideas, and to establish multidimensional poverty precision targeting mechanism.

     

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