收入导向型多维贫困测度的稳健性与敏感性
发布时间：2018-08-07 20:05
【摘要】：由AlkireFoster(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。
[Abstract]:The A-F multidimensional poverty analysis method developed by AlkireFoster (2011) has been widely used. This paper aims at the problem of "false poverty" that may appear in the identification of this method, and the difficulty of precise implementation of poverty reduction policy caused by multidimensional measurement. An income-oriented multi-dimensional poverty measurement method is proposed. In contrast, the new method not only considers the dominant position of income dimension evaluation of poverty, but also takes into account the multidimensional perspective of welfare evaluation. Based on the survey data of (CFPS) in 2014, this paper measures the income oriented multidimensional poverty in rural areas, and tests the robustness of income oriented multidimensional poverty by non-parametric Bootstrap method. The results show that whether or not the uncertainty of income dimension is taken into account, the index shows strong robustness. In addition, sensitivity tests show that the income oriented multidimensional poverty index is more sensitive to the income dimension deprivation threshold (income poverty line) than the A-F multidimensional poverty index. It is helpful to compare and analyze the characteristics of different income poverty groups in multi-dimensional perspective.
【作者单位】： 北京师范大学经济与工商管理学院;
【基金】：教育部新世纪人才支持计划(NCET-13-0066) 北京师范大学中央高校基本科研业务费专项资金项目(SKZZB2014007)的资助
【分类号】：F323.8
本文编号：2171203
[Abstract]:The A-F multidimensional poverty analysis method developed by AlkireFoster (2011) has been widely used. This paper aims at the problem of "false poverty" that may appear in the identification of this method, and the difficulty of precise implementation of poverty reduction policy caused by multidimensional measurement. An income-oriented multi-dimensional poverty measurement method is proposed. In contrast, the new method not only considers the dominant position of income dimension evaluation of poverty, but also takes into account the multidimensional perspective of welfare evaluation. Based on the survey data of (CFPS) in 2014, this paper measures the income oriented multidimensional poverty in rural areas, and tests the robustness of income oriented multidimensional poverty by non-parametric Bootstrap method. The results show that whether or not the uncertainty of income dimension is taken into account, the index shows strong robustness. In addition, sensitivity tests show that the income oriented multidimensional poverty index is more sensitive to the income dimension deprivation threshold (income poverty line) than the A-F multidimensional poverty index. It is helpful to compare and analyze the characteristics of different income poverty groups in multi-dimensional perspective.
【作者单位】： 北京师范大学经济与工商管理学院;
【基金】：教育部新世纪人才支持计划(NCET-13-0066) 北京师范大学中央高校基本科研业务费专项资金项目(SKZZB2014007)的资助
【分类号】：F323.8
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