【摘要】 由Alkire&Foster(2011)开发的A-F多维贫困分析方法得到广泛的应用,本文针对该方法在识别中可能出现的"虚假贫困"现象,以及多维测度导致减贫政策精准实施难度加大等问题,提出了收入导向型多维贫困测度方法。相比而言,新的方法既考虑了收入维度评价贫困的主导地位,也兼顾了多维视角下的福利评价。文章结合中国家庭追踪调查(CFPS)2014年的调查数据,测度了农村地区的收入导向型多维贫困,并通过非参数Bootstrap方法,检验了收入导向型多维贫困的稳健性。结果表明,无论是否考虑收入维度的不确定性,指数均表现出较强的稳健性。此外,敏感性检验表明,收入导向型多维贫困指数对收入维度剥夺临界值(收入贫困线)的变化相对于A-F多维贫困指数,表现出较强的敏感性,有利于比较分析处于不同收入贫困程度下的群体在多维视角下的特征。更多还原

【Abstract】 The A- F methodology for multidimensional poverty developed by Alkire & Foster( 2011) is widely used by the majority of scholars,international organizations and government agencies. However,the applications of this method in the income-oriented poverty reduction policy system are faced with some limitations: one is that the poor individuals identified by A- F method contain those who are non-income poverty for they are only deprived in other non-income dimensions,which may lead to‘false poverty’phenomenon; the other is that the results from A- F method bring difficulties for the income-oriented poverty reduction policies. Based on the above considerations,this article proposes a method of measurement for income-oriented multidimensional poverty. The income-oriented perspective focuses on the multiple deprivations and welfare losses of the individuals who are deprived in income dimension compared with A- F method. The article estimates the income-oriented multidimensional poverty in rural China,based on 2014 CFPS data. Additionally,We test the robustness of the income-oriented multidimensional poverty indices by nonparametric bootstrap method,and the results indicate that the indices show strong robustness considering the uncertainty of income dimensions. Furthermore, income-oriented multidimensional poverty indices are very sensitive to the changes of income poverty line compared with A- F multidimensional poverty indices,which facilitates the comparative analysis on the features of the poverty groups deprived by different poverty lines in multidimensional perspectives.更多还原