埃塞俄比亚的非货币性贫困:多维方法

ERN: Equity Pub Date : 2019-10-12 DOI:10.2139/ssrn.3468659
M. A. Workneh, F. Figari
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引用次数: 1

摘要

本文使用Alkire和Foster(2011)的计数方法估算了埃塞俄比亚的非货币多维贫困指数。我们使用2016年人口住户调查(DHS)。使用14个具体国家指标,以平等和不平等加权方法估计非货币性多维贫困。与等权方法相比,不等权估计的MPI水平要高得多。我们的研究结果还表明,烹饪燃料、电力、住房和妇女识字率是更相关的指标,与其他指标相比,这些指标对埃塞俄比亚的多维贫困贡献很大。分娩地点、家庭暴力和妇女决策权的贡献也不是微不足道的。我们还发现,多维贫困指数的估算取决于所使用的具体加权方法、所选择的估算维度和指标数量以及所采用的跨维度截止值。因此,需要制定政策,通过改善烹饪燃料、电力、住房和妇女识字率来减轻贫困,特别是以农村地区为重点。此外,运用不等权重法,可以看到各维度之间的权衡,这比等额加权法更能找出社会被剥夺程度较高的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Monetary Poverty in Ethiopia: Multidimensional Approach
This paper estimates the non-monetary multidimensional poverty index for Ethiopia using the Alkire and Foster (2011) counting approach. We use the 2016 Demographic Household Survey (DHS). Fourteen country-specific indicators are used to estimate the non-monetary multidimensional poverty with equal and unequal weighting approaches. The estimation with unequal weighting gives a much higher level of MPI compared to the equal weighting approach. Our results also show that cooking fuel, electricity, housing and women's literacy are more relevant indicators, which contributes much to compared with other indicators, for multidimensional poverty in Ethiopia. The contribution of place of delivery, domestic violence and women’s right to make decision is not also minimal. We also find that the multidimensional poverty index estimation depends on the specific weighting method used, the number of dimensions and indicators selected for estimation and the cross-dimensional cut-off applied.

Hence, policies which lessen poverty through improving cooking fuel, electricity, housing and women's literacy, particularly focused on rural areas, are needed. In addition, application of unequal weighting, which enable to see the trade-off between dimensions, is better to find out the indicators in which the society is more deprived rather than equal weighting.
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