Access to micro- and informal loans: Evaluating the impact on the quality of life of poor females in South Africa

Greyling, Talita; Rossouw, Stephanié

doi:10.4102/sajems.v22i1.2944

Cited by 5 publications

(3 citation statements)

References 40 publications

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“…The finding of the absence of a relationship between housing and infrastructure and health is inconsistent with the literature, which suggests a weak relationship (Dalstra et al, 2006). It is plausible that, although this study did not reveal a direct relationship between the domains, there might be an indirect relationship based on an underlying third factor, such as income (Greyling & Rossouw, 2019). Furthermore, a probable reason for the finding in this sample may be that some young, healthy respondents in the sample (often migrants from rural areas) do not reside in formal housing, but in the backyards of formal houses, in hostels and in informal dwellings (Greyling, 2015;GCRO, 2011).…”

Section: Interrelationships Between the Domains Of Qolcontrasting

confidence: 97%

Quality of life: Validation of an instrument and analysis of relationships between domains

Greyling

Tregenna

2019

Development Southern Africa

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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, socioeconomic 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. To validate the instrument, we subject the different domains to exploratory factor analysis (EFA) to confirm the unidimensionality of each dimension, and then employ confirmatory factor analysis (CFA) to validate the instrument and to investigate the interrelationships between the domains of QoL. The results show that the items included to measure the different scales/domains of QoL are valid measures of the constructs. Furthermore, all domains are positively related, implying that policy measures implemented to improve a specific dimension may also positively influence the other domains of QoL.

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Section: Interrelationships Between the Domains Of Qolcontrasting

confidence: 97%

Quality of life: Validation of an instrument and analysis of relationships between domains

Greyling

Tregenna

2019

Development Southern Africa

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“…With an urbanisation rate of 66.86% in 2019, poor households in urban centres may experience increased competition for already scarce amenities, thereby decreasing their SWB. On the other hand, households that choose to stay on farmlands have better health, more freedom and a constant food source, thereby increasing their SWB (see Bhuiyan & Ivlevs 2019;Greyling & Rossouw 2019).…”

Section: Pooled Ordered Probit Analysismentioning

confidence: 99%

The ugly truth about social welfare payments and households’ subjective well-being

Adhikari

Greyling

Rossouw

2022

South African Journal of Economic and management Sciences

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Background: Implicitly, social welfare payments (SWPs) are a transfer from the wealthy (those in high-income quintiles) to the poor (in low-income quintiles) to reduce poverty and create a more equal distribution of income. Previous studies have shown that resources, such as income (including SWPs), are pooled within households creating positive externalities. Studies on the subjective well-being (SWB) effect of SWPs are scarce, and no previous study has investigated whether the expected positive relationship holds across all household income quintiles.Aim: This study determines whether the expected positive relationship between SWB and SWPs holds across all household income quintiles.Setting: The data for this study were obtained from the National Income Dynamics Study (NIDS), which is representative of the state of affairs in South Africa.Methods: We use a pooled ordered probit and quasi-experimental models to investigate the relationship.Results: Surprisingly, all forms of SWPs are accessed across all household income quintiles, and the trend over time shows an increase. As expected, the relationship between SWP and SWB is positive, except in those households in the highest income quintile receiving an SWP who experience a negative effect on well-being.Conclusions: Our study explains the lack of progress in decreasing inequality and lower levels of SWB. Additionally, our findings are of interest to the ongoing broader debates around the effects of SWPs globally on poverty, inequality and SWB. Many checks and balances should be in place to ensure only the most vulnerable access SWPs.

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“…The VSLA model was first introduced by CARE in Niger in 1991 as a microfinance model under which saving groups are formed at community level to reduce poverty by socially and financially empowering the poor and vulnerable people (CARE Uganda). The original goal of VSLAs was to provide members especially rural women with access to credit, to meet subsistence needs or invest in income generating activities (Greyling and Rossouw, 2019).…”

Section: Introductionmentioning

confidence: 99%

Influence of informal financial literacy training on financial knowledge and behavior of rural farmers: Evidence from Uganda

Proscovia¹,

Mugisha²,

Bangizi³

et al. 2021

J. Dev. Agric. Econ.

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Financial literacy plays an important role in influencing financial behavior and knowledge of individuals. In this study, the impact of informal financial literacy training on rural smallholder farmers was assessed. Propensity score matching approach was used to assess training effects on distinct dimensions of financial knowledge. The study used a sample of farmers who are members of village savings and loans associations. Findings indicate higher scores (70.6% for training beneficiaries and 68.5% for the control group) in financial goals and the lowest scores (48.0% for training beneficiaries and 43.0% for control group) in planning and managing finances. Although the descriptive statistics show higher scores for the trained farmers, overall financial literacy scores in the different dimensions for trained farmers were not significantly different from those that were not trained. The result was attributed to spillover effects through networks given the period between training and evaluation. More financial education programs could be useful to empower communities with knowledge for informed financial decision making.

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Access to micro- and informal loans: Evaluating the impact on the quality of life of poor females in South Africa

Cited by 5 publications

References 40 publications

Quality of life: Validation of an instrument and analysis of relationships between domains

Quality of life: Validation of an instrument and analysis of relationships between domains

The ugly truth about social welfare payments and households’ subjective well-being

Influence of informal financial literacy training on financial knowledge and behavior of rural farmers: Evidence from Uganda

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