The main purpose of this study was to examine feminization of poverty in urban areas of sub‐Saharan Africa (SSA). The paper used the Alkire–Foster multidimensional poverty approach and compared the wellbeing of female‐headed households with their male‐headed counterparts. The study utilized data compiled from demographic and health surveys of selected SSA countries, namely, Ethiopia, Malawi, Rwanda, and Tanzania. It applied a multilevel mixed effect logistic regression model to analyze the effects of household‐ and country‐level variables on the incidence of multidimensional poverty on the two household structures separately. The study confirmed that female‐headed households were poorer than male‐headed households. Among household‐level variables, having access to finance, a higher level of education completed by the household head, the age of the household head, having a smaller‐sized family, and being employed have a positive and significant effect on multidimensional wellbeing of households. Moreover, expenditures on primary school and health significantly reduce the incidence of multidimensional poverty. The effects of these micro and macro variables are found to be different for the two household structures. Therefore, antipoverty policies and programs should be implemented in such a way that they mitigate these differences in household characteristics in favor of female‐headed households.

中文翻译：

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撒哈拉以南非洲的多维城市贫困女性化：某些国家的证据

这项研究的主要目的是检验撒哈拉以南非洲（SSA）城市地区的贫困女性化现象。该论文采用了Alkire-Foster多维贫困方法，并将女户主家庭与男户主家庭的福利进行了比较。该研究利用了来自SSA选定国家（埃塞俄比亚，马拉维，卢旺达和坦桑尼亚）的人口和健康调查收集的数据。它应用了多级混合效应逻辑回归模型来分别分析家庭和国家级变量对两个家庭结构上多维贫困发生率的影响。该研究证实，女户主家庭比男户主家庭贫穷。在家庭层面的变量中，有获得资金的机会，由户主完成的更高水平的教育，家庭户主的年龄，家庭规模较小并受雇对家庭的多维福祉产生积极而重大的影响。此外，用于小学和保健的支出大大减少了多维贫困的发生。发现这两个微观和宏观变量对两个家庭结构的影响是不同的。因此，扶贫政策和计划应以减轻家庭特征差异的方式实施，以女性为户主的家庭。发现这两个微观和宏观变量对两个家庭结构的影响是不同的。因此，扶贫政策和计划应以减轻家庭特征差异的方式实施，以女性为户主的家庭。发现这两个微观和宏观变量对两个家庭结构的影响是不同的。因此，扶贫政策和计划应以减轻家庭特征差异的方式实施，以女性为户主的家庭。