【摘要】：由AlkireFoster(2011)開發(fā)的A-F多維貧困分析方法得到廣泛的應用,本文針對該方法在識別中可能出現(xiàn)的"虛假貧困"現(xiàn)象,以及多維測度導致減貧政策精準實施難度加大等問題,提出了收入導向型多維貧困測度方法。相比而言,新的方法既考慮了收入維度評價貧困的主導地位,也兼顧了多維視角下的福利評價。文章結合中國家庭追蹤調(diào)查(CFPS)2014年的調(diào)查數(shù)據(jù),測度了農(nóng)村地區(qū)的收入導向型多維貧困,并通過非參數(shù)Bootstrap方法,檢驗了收入導向型多維貧困的穩(wěn)健性。結果表明,無論是否考慮收入維度的不確定性,指數(shù)均表現(xiàn)出較強的穩(wěn)健性。此外,敏感性檢驗表明,收入導向型多維貧困指數(shù)對收入維度剝奪臨界值(收入貧困線)的變化相對于A-F多維貧困指數(shù),表現(xiàn)出較強的敏感性,有利于比較分析處于不同收入貧困程度下的群體在多維視角下的特征。
[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.
【作者單位】： 北京師范大學經(jīng)濟與工商管理學院;
【基金】：教育部新世紀人才支持計劃(NCET-13-0066) 北京師范大學中央高�；究蒲袠I(yè)務費專項資金項目(SKZZB2014007)的資助
【分類號】：F323.8

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