An analysis of well-being in Gauteng province using the capability approach

Show simple item record Mushongera, Darlington Kwenda, Prudence Ntuli, Miracle 2020-12-08T21:32:45Z 2020-12-08T21:32:45Z 2020-12-08
dc.identifier.citation Mushongera, D., Kwenda, P., & Ntuli, M: An analysis of well-being in Gauteng province using the capability approach. GCRO Occasional Paper 14, July 2020 en_ZA
dc.identifier.isbn 978-0-620-87862-3
dc.description.abstract The purpose of this occasional paper is to analyse well-being in Gauteng province from a capability perspective. We adopt a standard ‘capability approach’ consistent with Amartya Sen’s concept of capabilities (1985; 1993; 1999). This study builds on earlier research on poverty and inequality in the Gauteng City-Region (GCR) focusing on income inequality (Tseng, 2018), labour market inequalities (Kwenda & Benhura, 2018) and multidimensional poverty (Mushongera et al., 2017; Mushongera et al., 2018). These analyses were based mainly on objective characteristics of well-being, such as income, employment, housing and schooling. However, adopting a capability approach provides us with a more holistic view of well-being in Gauteng by focusing simultaneously on both objective and subjective aspects. According to Robeyns (2016, p. 1), the capability approach is a theoretical framework that entails two core normative claims: first, the claim that the freedom to achieve well-being is of primary moral importance, and second, that freedom to achieve well-being is to be understood in terms of people’s capabilities, that is, their real opportunities to do and be what they have reason to value. Writing from a feminist and social justice perspective, Nussbaum (2003) generated a list of what she considered the most central capabilities. These capabilities are relevant to the analysis of well-being in general and generate useful insights that can potentially provide an additional lens within the policy realm. They can be combined into indices that capture ‘functionings’, or the ‘hard’ and ‘soft’ indicators of well-being. Out of the ten capabilities suggested by Nussbaum (2003), our analysis is based on eight, namely ‘play’, ‘emotions’, ‘other species’, ‘affiliation’, ‘bodily health’, ‘bodily integrity’, ‘senses, imagination and thought’ and ‘control over one’s environment’. The analysis uses data from the Gauteng City-Region Observatory Quality of Life (GCRO QoL) Survey IV-2015/16 (GCRO, 2016), which asks a wide range of questions, and the response options vary significantly. For instance, some questions have binary responses while others have multiple possible responses, such as those captured by a Likert scale. To generate similar units of measurement, all indicators were normalised using a standard ordinal ranking procedure. Normalisation is a simple technique whereby all variables are scored consistently so that the lowest rank always indicates the worst outcomes and the highest means the best in relative terms; for example, for the Health Status Indicator, a rank of 1 is assigned to individuals with very poor health; 2 for poor health; 3 for good health; and 4 for excellent health (OECD, 2008). Each capability index in our analysis was computed as a weighted average of its related normalised indicator variables. The weights were generated using multiple correspondence analysis (MCA), which is an objective statistical approach. The results of our analysis indicate that the capabilities with high scoring indices are ‘play’ and ‘senses, imagination and thought’, while ‘bodily integrity’ and ‘affiliation’ scored very low. Capability achievements vary across race, age, gender, income level and location. The results confirm the well-known heterogeneity in human conditions among South African demographic groups. However, we observe broader (in both subjective and objective dimensions) levels of deprivation that are otherwise masked in earlier studies. Policies that directly target indicators for capabilities where historically disadvantaged and vulnerable groups (such as youth, elderly and the physically challenged) are deprived are highly recommended. Given the spatial heterogeneities in capability achievements, we recommend localised interventions in capabilities that are lagging in certain areas of the province. en_ZA
dc.language.iso en en_ZA
dc.publisher Gauteng City-Region Observatory en_ZA
dc.relation.ispartofseries GCRO Occassional Paper;17
dc.rights Copyright 2020 © Gauteng City-Region Observatory en_ZA
dc.title An analysis of well-being in Gauteng province using the capability approach en_ZA
dc.type Article en_ZA
dc.description.librarian DM2020 en_ZA en_ZA en_ZA en_ZA
dc.faculty Research Office en_ZA Gauteng City-Region Observatory en_ZA

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search WIReDSpace


My Account