Measurements and determinants of multifaceted poverty in South Africa

Jansen, Ada; Moses, Mariana; Mujuta, Stanford; Yu, Derek

doi:10.1080/0376835x.2014.984377

Cited by 34 publications

(21 citation statements)

References 16 publications

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“…However, what is important in the analysis and implications for other African countries is the critical role of inequality in the response of poverty to growth: conjectures already engaged in the: (i) introductory paragraphs of this review and (ii) introductory chapter of book being reviewed (also see Fosu, 2009;2010abc). From my own further perusal of the literature, the findings and discussion of results are broadly consistent with South African general and specific literature, notably: (i) general perspectives, inter alia, determinants and measurements of multifaceted poverty (Jansen et al, 2015 ), impact of maize yield on poverty reduction (Fischer and Hadju, 2015) and gender equality using the Global Multidimensional Poverty Index (Rogan, 2015) and (ii) specific views on nexuses between growth, inequality and poverty from Finn et al (2014), Mabugu and Mabugu (2014) and Bhorat and Tseng (2014).…”

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confidence: 72%

Growth and Institutions in African Development

2015

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confidence: 72%

Growth and Institutions in African Development

2015

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“…Gibson (2016) argued that welfare economics does not provide a justification for maximizing either happiness or life satisfaction, because neither corresponds to utility. Accordingly, Jansen et al (2015) argued that subjective indicators might be less expedient for practical policy and targeting purposes as people may project themselves as poor only because they are not satisfied with their lives, which is challenging for instance, when targeting the public for welfare programmes. Subjective measure could also present false information because the relative position of household is a strong determinant of subjective poverty, as pointed out by Alem et al (2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Multidimensional Poverty Analysis of Urban and Rural Households in South Africa

Megbowon

2018

Studia Universitatis Babeș-Bolyai Oeconomica

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The study profiled and compared household multidimensional poverty status and its determinants among urban and rural households in the Eastern Cape Province of South Africa, using information from a sample population of 3033 households interviewed from the Province during the General Household Survey conducted by the Statistics South Africa in 2014. Analytical techniques utilized include the recent multidimensional poverty index (MPI), descriptive statistics and Tobit regression. Findings reveal that multiple deprivations are found mostly in the rural area of the province; the multidimensional headcount is highest in the rural area, though the intensity of multidimensional poverty is almost similar in both geographical locations. The standard of living dimension is also the largest contribution to MPI in both locations. MPI has significant links with education attainment of household head, access to electricity and asset stock in both geographical locations, but is influenced by the gender of head, agriculture engagement and household monthly income in rural areas only. In order to improve households' multidimensional poverty status in both urban and rural locations, there is the need to take into account some significant variables such as education of head, increase electricity subsidy coverage during winter period, asset accumulation and increase in households' participation in agricultural activities, especially those residing in rural areas. JEL classification: I32

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“…In that study, well-being was measured by an asset index estimated using a factor analysis (FA) of various household socioeconomic indicators. Booysen et al (2008) Jansen et al (2015) analysed poverty across various objective and subjective methods and found a variation in poverty status, with blacks being mostly likely to be poor in at least one method.…”

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confidence: 99%

The threshold effects of household indebtedness on multidimensional poverty

Ntsalaze

Ikhide

2017

IJSE

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DeclarationBy submitting this dissertation electronically, I declare that the entirety of the work contained therein is my own, original work, that I am the sole author thereof (save to the extent explicitly otherwise stated), that reproduction and publication thereof by Stellenbosch University will not infringe any third party rights and that I have not previously in its entirety or in part submitted it for obtaining any qualification.This dissertation includes two published and one accepted but not yet published original papers in peer-reviewed international journals. The fourth paper representing chapter eight is ready for submission for peer review. The development and writing of the papers (published and unpublished) were the principal responsibility of myself and, for each of the cases where this is not the case, a declaration is included in the dissertation indicating the nature and extent of the contributions of co-authors. AbstractGlobal household indebtedness has reached unprecedented levels over the past few decades.The household sector has had to cope with significant losses in income and wealth as well as the burden of debt service since the beginning of the financial crisis. Research focus on this phenomenon, together with its social implications, has grown. This study uses the National Income Dynamics Study (NIDS) data to empirically investigate the effects of household debt on multidimensional poverty. This was achieved through four independent research papers meant to address different angles of the subject. Chapter 5 provides a snapshot of the prevalence of over-indebtedness, using various international indicators and the National Credit Regulator (NCR) indicator, and describes which households are over-indebted. A total of eight percent of South African households are overindebted, and 61.4 percent of those households are found in the lowest income category (R0 -R2 000), spending more than 45 percent of their household income on debt repayments, which is beyond levels that are considered sustainable. The alarming revelation is that, according to the unsecured debt indicator, 15.2 percent of households are over-indebted, while 11 percent of households are driven below the relative income poverty line after making debt repayments. Stellenbosch University https://scholar.sun.ac.za 3The racial distribution indicates that households headed by Africans are overrepresented (79%).Most over-indebted households are found amongst those who own their places of residence (78.6%), do not receive government grants (71.7%), are male (53.8%), and have an unemployed household head (53.5%).Chapter 6 examines the presence of thresholds in the debt-poverty nexus at micro level, i.e. the tipping point above which debt is associated with more multidimensional poverty. By applying the Generalised Additive Model (GAM) using regression splines, the study finds the existence of critical tipping points between household debt service-to-income ratio and multidimensional poverty along with other explanatory variables (age...

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Measurements and determinants of multifaceted poverty in South Africa

Cited by 34 publications

References 16 publications

Growth and Institutions in African Development

Growth and Institutions in African Development

Multidimensional Poverty Analysis of Urban and Rural Households in South Africa

The threshold effects of household indebtedness on multidimensional poverty

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