Cavanaugh Alicia C, Bixby Honor R, Mangwani Saeesh, Agyei-Mensah Samuel, Awuni Cynthia Azochiman, Baumgartner Jill C, Owusu George, Robinson Brian E
Department of Geography, McGill University, Montreal, Canada.
Institute of Public Health and Wellbeing, University of Essex, Colchester, United Kingdom.
Environ Res Commun. 2024 Sep 1;6(9):091009. doi: 10.1088/2515-7620/ad76ff. Epub 2024 Sep 17.
Local social and ecological contexts influence the experience of poverty and inequality in a number of ways that include shaping livelihood opportunities and determining the available infrastructure, services and environmental resources, as well as people's capacity to use them. The metrics used to define poverty and inequality function to guide local and international development policy but how these interact with the local ecological contexts is not well explored. We use a social-ecological systems (SES) lens to empirically examine how context relates to various measures of human well-being at a national scale in Ghana. Using a novel dataset constructed from the 100% Ghanian Census, we examine poverty and inequality at a fine population level across and within multiple dimensions of well-being. First, we describe how well-being varies within different Ghanian SES contexts. Second, we ask whether monetary consumption acts a good indicator for well-being across these contexts. Third, we examine measures of inequality in various metrics across SES types. We find consumption distributions differ across SES types and are markedly distinct from regional distributions based on political boundaries. Rates of improved well-being are positively correlated with consumption levels in all SES types, but correlations are weaker in less-developed contexts like, rangelands and wildlands. Finally, while consumption inequality is quite consistent across SES types, inequality in other measures of living standards (housing, water, sanitation, etc) increases dramatically in SES types as population density and infrastructural development decreases. We advocate that SES types should be recognized as distinct contexts in which actions to mitigate poverty and inequality should better incorporate the challenges unique to each.
当地的社会和生态环境以多种方式影响着贫困和不平等状况,包括塑造生计机会、决定可用的基础设施、服务和环境资源,以及人们使用这些资源的能力。用于界定贫困和不平等的指标旨在指导地方和国际发展政策,但这些指标如何与当地生态环境相互作用,尚未得到充分探讨。我们运用社会生态系统(SES)视角,以实证方式研究在加纳全国范围内,环境与人类福祉的各种衡量指标之间的关系。利用从加纳100%人口普查构建的全新数据集,我们在福祉的多个维度上,对精细人口层面的贫困和不平等状况进行研究。首先,我们描述加纳不同社会生态系统环境下福祉的差异情况。其次,我们探究货币消费在这些环境中是否是衡量福祉的良好指标。第三,我们考察不同社会生态系统类型中各种指标的不平等状况。我们发现,不同社会生态系统类型的消费分布存在差异,且与基于政治边界的区域分布明显不同。在所有社会生态系统类型中,福祉改善率与消费水平呈正相关,但在牧场和荒地等欠发达环境中,这种相关性较弱。最后,虽然消费不平等在不同社会生态系统类型中相当一致,但随着人口密度和基础设施发展水平降低,其他生活水平衡量指标(住房、水、卫生设施等)的不平等在社会生态系统类型中急剧增加。我们主张,应将社会生态系统类型视为不同的环境,在这些环境中,减轻贫困和不平等的行动应更好地纳入每个环境所特有的挑战。