Linking the Sustainable Development Goals through an Investigation of Urban Household Food Security in Southern Africa

James Sgro, B. Frayne, C. McCordic
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引用次数: 4

Abstract

Background: It has been theorised that there are a network of relationships linking the Sustainable Development Goals (SDGs), whereby achieving one SDG may have spillover effects for other SDGs. This discussion is relevant to the multidimensional stressors experienced by poor urban households in Sub-Saharan Africa. Methods: We evaluate whether variations in the gender of a household head (SDG 5), education level of a household head (SDG 4) or household wages (SDG 8) are predictive of household food security (SDG 2) among over 6000 poor urban households surveyed in eleven cities in Southern Africa. These comparisons are made using regression analysis and machine learning techniques while controlling for, and comparing against, the contribution of household size, the age of the household head, and the number of household dependents to household food security prediction. Results: Of the variables investigated, our study finds that household wages and the education level of the household head are important predictors of food security among the surveyed households. This investigation also identifies a potentially indirect relationship between the gender of the household head and household food security when other variables are controlled. Conclusions: These findings suggest a predictive relationship between SDG 4 (Quality Education), SDG 8 (Decent Work and Economic Growth) and SDG 2 (Zero Hunger) while highlighting a curious indirect relationship between SDG 5 (Gender Equality) and SDG 2 among poor urban households in Southern Africa. By understanding these relationships, it may be possible to chart efficient policy pathways towards SDG achievement in Southern African cities
从南部非洲城市家庭粮食安全调查看可持续发展目标的关联
背景:有理论认为,可持续发展目标(SDG)之间存在一个关系网络,实现一个可持续发展目标可能对其他可持续发展目标产生溢出效应。这一讨论与撒哈拉以南非洲城市贫困家庭所经历的多维压力因素有关。方法:在南部非洲11个城市调查的6000多个贫困城市家庭中,我们评估了户主性别(可持续发展目标5)、户主教育水平(可持续发展目标4)或家庭工资(可持续发展目标8)的变化是否可以预测家庭粮食安全(可持续发展目标2)。这些比较是使用回归分析和机器学习技术进行的,同时控制和比较家庭规模、户主年龄和家庭受抚养人数量对家庭粮食安全预测的贡献。结果:在调查的变量中,我们的研究发现,家庭工资和户主的教育水平是被调查家庭粮食安全的重要预测因素。这项调查还确定,在控制其他变量的情况下,户主性别与家庭粮食安全之间存在潜在的间接关系。结论:这些研究结果表明,可持续发展目标4(优质教育)、可持续发展目标8(体面工作和经济增长)和可持续发展目标2(零饥饿)之间存在预测关系,同时在南部非洲城市贫困家庭中,可持续发展目标5(性别平等)和可持续发展目标2之间存在令人好奇的间接关系。通过了解这些关系,有可能为南部非洲城市实现可持续发展目标制定有效的政策路径
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