ABSTRACT

The paper analyses poverty in South Africa, using the GHS-data of 2018. STATSSA designates three poverty lines, the upper-bound poverty line is employed in the methodology, which makes the analysis more detailed and unique. The methodology uses descriptive statistics, multivariate analysis and inferential approaches specifically the binary-logistic regression model. The results of the model indicate that socioeconomic factors such as income, and household size, on the household level and head of household characteristics such as gender, marital status, age and population group were significant determinants of poverty. Policies that target girl education would go a long way in addressing poverty.

摘要

本文使用 2018 年的 GHS 数据对南非的贫困进行了分析。STATSSA 指定了三个贫困线，方法论中采用了贫困线上限，使分析更加详细和独特。该方法使用描述性统计、多变量分析和推理方法，特别是二元逻辑回归模型。模型的结果表明，收入和家庭规模等社会经济因素，以及家庭层面的户主特征，如性别、婚姻状况、年龄和人口群体，是贫困的重要决定因素。针对女童教育的政策将大大有助于解决贫困问题。