从绝对到相对转变视域下的中国农村脱贫新探析——基于精准扶贫背景的分析

发布时间：2018-06-17 09:06

本文选题：精准扶贫 + 绝对贫困　；参考：《软科学》2017年05期

【摘要】：以精准识别为导向,从绝对贫困到相对贫困转变的视角对我国农村脱贫进行新探析。通过构造洛伦茨曲线法,求出基尼系数和社会财富指数值,研究发现在农村贫困地区扶贫过程中存在绝对贫困线不能完全覆盖贫困者,建立相对贫困线有利于在贫困新形势下精准识别贫困户;通过建立精准识别机制,可以有效遏制扶贫资源分配中精英捕获的瓶颈;针对忽视最贫困等问题提出精准帮扶的对策,以社会救助和社会保护等保障性扶贫政策为主,提高其抵御贫困风险的能力。
[Abstract]:Based on precision recognition, this paper analyzes the transformation from absolute poverty to relative poverty in rural areas. By constructing Lorentz curve method, the Gini coefficient and social wealth index are obtained. It is found that in the process of poverty alleviation in rural poor areas, the absolute poverty line can not completely cover the poor. The establishment of the relative poverty line is conducive to the accurate identification of poor households under the new situation of poverty; through the establishment of a precision identification mechanism, it can effectively curb the bottleneck captured by the elite in the allocation of poverty alleviation resources; and put forward measures to help the poor with precision in view of the problems such as neglecting the poorest. Social assistance and social protection are the main support policies to improve their ability to resist the risk of poverty.
【作者单位】：武汉大学社会保障研究中心;
【基金】：教育部人文社会科学重点研究基地重大项目(16JJD840009)
【分类号】：F323.8

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