摘要
在当下,绝对贫困的消除要求扶贫工作更加关注相对贫困,贫困的测度需要从一维向多维转变。本文从相对贫困的角度探析了新农保政策对农村户主的扶贫效用,在多维贫困指标测度框架下,利用CHARLS 2018年截面数据,分别测算了参保处理组和未参保控制组贫困状况,运用倾向得分匹配法(PSM)对样本进行修正和调整,最终比较分析出新农保政策对不同贫困程度人群以及在不同贫困维度下的影响净效应。研究结果表明:1) 新农保政策能够提升农户所得效益,对缓解贫困程度有积极作用;2) 相较于相对不贫困群体,新农保对相对贫困群体的扶贫作用更加显著;3) 从多维角度分析,新农保政策对健康维度的减贫效果最佳,在生活水平、教育水平和住房水平等贫困维度的扶贫效率低。
At present, the elimination of absolute poverty requires poverty alleviation work to bring into sharp focus on relative poverty, and the measurement of poverty needs to shift from one-dimensional to multi-dimensional. This paper illustrates and discusses the poverty alleviation and effects of the New Rural Pension Insurance (NRPI) from the angle of relative poverty. Based on the framework of the index system of Multidimensional Poverty, this paper took advantage of CHARLS cross-section data 2018, and calculates the poverty condition which in the insured treatment group and the uninsured control group respectively. Meanwhile, this paper combined with the propensity score matching method (PSM) to modify and optimize the sample data, and analyzed the net effect of the NRPI policy on individuals at different poverty levels. The result shows that the NRPI policy can improve the benefit of peasant, and exercise a positive impact on poverty alleviation. On top of that, the NRPI plays a more significant role in relatively poverty groups which is compared with the relatively non-poor groups. From the perspective of multi-dimensional analysis, the NRPI policy has the best influence on the health dimension of poverty reduction, but plays a lower effect on the living standards, the education level, the housing level and other dimensions.
出处
《统计学与应用》
2021年第2期269-277,共9页
Statistical and Application
