Background: Since the early 1980s, many governments have investigated the possibility of utilising access to microloans as a pathway to grow economies out of unemployment and thereby improve people's quality of life. Studies that have previously investigated the impact of microloans found a positive relationship to quality of life. Unfortunately, these studies mainly measure quality of life using monetary (income) measures rather than assessing the entire multidimensionality of quality of life.
quality of life
Quality of life (QoL) is now widely recognised as a multidimensional concept. This study validates an instrument to measure multidimensional QoL, and investigates the relationships between the domains thereof. The domains analysed are: health, housing and infrastructure, socio-economic status, social relationships, governance and safety. We utilise a rich household-level dataset collected by the GCRO on QoL in the Gauteng city-region of South Africa.
The purpose of this study is to investigate the relationship between population density and non-economic quality of life. Popular opinion has generally been that population density can be seen as beneficial for economic growth, as it allows for greater productivity, greater incomes and can be translated into higher levels of quality of life. Recently though, growing evidence tends to suggest the exact opposite in that increases in productivity and incomes are not translated into better quality of life.
This study employs a novel approach to measure and analyse quality of life in the Gauteng City-Region of South Africa. A comprehensive composite index is constructed. Comparing the quality of life of different groups, groups such as Africans, residents in urban informal settlements and females scoring relatively low. The weighting of the dimensions of quality of life is compared across groups, with ‘housing and infrastructure’ and ‘social relationships’ explaining the most variance for groups with lower and higher quality of life respectively.
This paper constructs a Good Society Index for 45 African countries, termed the Good African Society Index (GASI). The GASI consists of nine main indexes: (i) economic sustainability, (ii) democracy and freedom, (iii) child well-being, (iv) environment and infrastructure, (v) safety and security, (vi) health and health systems, (vii) integrity and justice, (viii) education, and (xi) social sustainability and social cohesion. Each component is split into four sub-components for a total of 36 indicators. Tunisia ranks highest on the GASI, followed by Cape Verde and Botswana.