Research Article
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Year 2018, Volume: 10 Issue: 1, 184 - 202, 01.01.2018

Abstract

References

  • Alkire, S., & Santos, M. E. (2014). Measuring acute poverty in the developing world: Robustness and scope of the multidimensional poverty index. World Development, 59, 251-274.
  • Alkire, S., Chatterje, M., Conconi, A., Seth, S., & Vaz, A. (2014). Poverty in Rural and Urban Areas: Direct comparisons using the global MPI 2014.
  • American Psychological Association (APA) (2007). Report of the APA Task Force on Socioeconomic Status. Washington, DC: American Psychological Association. http://www.apa.org/pi. Accessed 2017/02/14.
  • Anyanwu, J.C. (2014). Marital status, household size and poverty in Nigeria:evidence from the 2009/2010 survey data. African Development Review, 26(1),118-137.
  • Attanasio, O., & Székely, M. (1999). An asset-based approach to the analysis of poverty in Latin America.
  • Barnes, M. & Lord, C. (2013). Poverty, economic status and skills: What are the links? UK: Joseph Rowntree Foundation. http://www.jrf.org.uk/sites/files/jrf/households-skills-poverty-summary.pdf. Date of access: 12 September 2015.
  • Budlender, J., Leibbrandt, M., & Woolard, I. (2015). South African poverty lines: a review and two new money-metric thresholds. A Southern Africa Labour and Development Research Unit Working Paper No 151. Cape Town: SALDRU, University of Cape Town.
  • Brandolini, A., Magri, S., & Smeeding, T.M. (2010). Asset􀀀based measurement of poverty. Journal of Policy Analysis and Management, 29(2), 267-284.
  • Bourguignon, F. (2006). From income to endowments: the difficult task of expanding the income poverty paradigm. Poverty and inequality, 76-102.
  • Bourguignon, F. & Chakravarty, S.R. (2003). The measurement of multidimensional poverty. The Journal of Economic Inequality, 1(1), 25-49.
  • Connelly, R., Sullian, A & Jerrim, J. (2014). Primary and secondary education and poverty review. http://www.cls.ioe.ac.uk/librarymedia/documents/Primary%20and%20secondary%20education%20and%20poverty%20review%20August%202014.pdf. Accessed 2015/09/15.
  • Cowan C.D., Hauser, M.R., Kominski, A.R & Levin, M.H. (2012). Improving the measurement of socioeconomic status for National Assessment of educational progress: A theoretical foundation. https://nces.ed.gov/nationsreportcard/pdf/researchcenter/Socioeconomic_Factors.pdf. Date of accessed 2015/08/09.
  • Dunga, S.H. & Sekatane, M.B. (2014). Determinants of employment status and its relationship to poverty in Bophelong Township. Mediterranean Journal of Social Sciences, 5(21), 215-220.
  • Filmer, D & Pritchett, L.H. (2001). Estimating wealth effects without expenditure data-or tears: an application to educational enrolments in states of India. http://vanneman.umd.edu/socy699J/FilmerP01.pdf. Accessed 2015/10/27.
  • Gordon, D., Adelman, L., Ashworth, K., Bradshaw, J., Levitas, R., Middleton, S., Pantazis, C., Patsios, D., Payne, S., Townsend, P. & Williams, J. (2000). Poverty and social exclusion in Britain. UK: Joseph Rowntree Foundation.
  • Grobler, W.C.J & Sekhampu, J. (2012). Determinants of household food expenditure among household receiving government grants in South Africa. Annual World Business Research Conference, October 2012, Bangkok, Thailand.
  • Habyarimana, F., Zewotir, T., & Ramroop, S. (2015). Determinants of poverty of households in Rwanda: an application of quantile regression. Journal of Human Ecology, 50(1), 19-30.
  • Hauser, R.M & Warren, J.R. (1997). Socioeconomic indexes for occupations: A review, update, and critique. Sociological Methodology, 27(1), 177-298.
  • Kamuzora, C.L. (2001). Poverty and family size patterns: Comparison across African countries. REPOA Research Report No. 01.3. Dar Es Salaam: Mkuki Na Nyota Publishers.
  • Oakes, J.M & Rosser.P.H. (2002). The measurement of SES in health research: current practice and steps toward a new approach. Social science & medicine, 56,767-784.
  • Meyer, D. F., & Nishimwe-Niyimbanira, R. (2016). The impact of household size on poverty: An analysis of various low-income townships in the Northern Free State region, South Africa. African Population Studies, 30(2), 2283-2295.
  • Sadeghi, J. M. (2001). Determinants of Poverty in Rural Areas: Case of Savejbolagh Farmers in Iran, World Bank Working Papers 0112.
  • Saghir, J. and Santoro, J. (2018). Urbanization in Sub-Saharan Africa: Meeting Challenges by Bridging Stakeholders Center for Strategic and International Studies (CSIS). https://www.csis.org/analysis/urbanization-sub-saharan-africa. Accessed 2018/06/02.
  • Scott, J. (2002). Social class and stratification in late modernity. Acta Sociologica, 45(1), 23-35.
  • Sekhampu, T. J. (2013). Determinants of poverty in a South African township.Journal of Social Sciences, 34(2), 145-153.
  • Sekhampu, T.J. & Muzindutsi, P.F. (2014). Gender Analysis of Household Poverty–An Empirical Analysis. Studia Universitatis Babes-Bolyai, Oeconomica, 59(1), 44-56.
  • Suryadarma, D., & Suryahadi, A. (2009). The contrasting role of ability and poverty on education attainment: evidence from Indonesia. SMERU Working Paper. SMERU Research Institute.
  • Vyas, S., & Kumaranayake, L. (2006). Constructing socio-economic status indices: how to use principal components analysis. Health policy and planning, 21(6), 459-468.
  • World Bank (2005). Introduction to Poverty Analysis. Washington, DC: World Bank Group.
  • World Bank (2017). The Development Indicators (WDI) 2017 Maps. https://data.worldbank.org/products/wdi-maps. Accessed 2018/05/06.

A COMPARATIVE ANALYSIS OF INCOME- AND ASSET-BASED POVERTY MEASURES OF HOUSEHOLDS IN A TOWNSHIP IN SOUTH AFRICA

Year 2018, Volume: 10 Issue: 1, 184 - 202, 01.01.2018

Abstract

Poverty alleviation is an essential goal for policy-makers. As a result, the development of an accurate measure of poverty is a key step to conceptualise the poverty phenomenon. Several measures for evaluating poverty exist but most of these measures cannot be generalised as they tend to be area- and communityspecific. This study compared the use of the income- and asset-based measures to determine the poverty status of households in a South African Township. A quantitative research approach, utilising a survey questionnaire, was adopted to collect data from 364 households in year 2015. The income-based poverty was measured using the Household Subsistence Level (HSL); while Principal Component Analysis (PCA) was applied to determine the asset-based poverty status. The Analysis of Variance (ANOVA) was used to assess whether there is a significant difference between the results of these two measures of poverty. A binary logistic regression model was used subsequently to determine to what extent a set of demographic variables influence the poverty status. Results revealed that the levels of poverty status tend to be high when the income-based poverty is used but the difference between the results of the two measures of poverty was found to be not statistically significant. The key determinants of asset-based poverty status in the selected Township include the marital status of the household head, the household size and receipt of a social grant. This study concludes that, in the absence of the income, the asset index can be used as measurement of poverty in low income areas.

References

  • Alkire, S., & Santos, M. E. (2014). Measuring acute poverty in the developing world: Robustness and scope of the multidimensional poverty index. World Development, 59, 251-274.
  • Alkire, S., Chatterje, M., Conconi, A., Seth, S., & Vaz, A. (2014). Poverty in Rural and Urban Areas: Direct comparisons using the global MPI 2014.
  • American Psychological Association (APA) (2007). Report of the APA Task Force on Socioeconomic Status. Washington, DC: American Psychological Association. http://www.apa.org/pi. Accessed 2017/02/14.
  • Anyanwu, J.C. (2014). Marital status, household size and poverty in Nigeria:evidence from the 2009/2010 survey data. African Development Review, 26(1),118-137.
  • Attanasio, O., & Székely, M. (1999). An asset-based approach to the analysis of poverty in Latin America.
  • Barnes, M. & Lord, C. (2013). Poverty, economic status and skills: What are the links? UK: Joseph Rowntree Foundation. http://www.jrf.org.uk/sites/files/jrf/households-skills-poverty-summary.pdf. Date of access: 12 September 2015.
  • Budlender, J., Leibbrandt, M., & Woolard, I. (2015). South African poverty lines: a review and two new money-metric thresholds. A Southern Africa Labour and Development Research Unit Working Paper No 151. Cape Town: SALDRU, University of Cape Town.
  • Brandolini, A., Magri, S., & Smeeding, T.M. (2010). Asset􀀀based measurement of poverty. Journal of Policy Analysis and Management, 29(2), 267-284.
  • Bourguignon, F. (2006). From income to endowments: the difficult task of expanding the income poverty paradigm. Poverty and inequality, 76-102.
  • Bourguignon, F. & Chakravarty, S.R. (2003). The measurement of multidimensional poverty. The Journal of Economic Inequality, 1(1), 25-49.
  • Connelly, R., Sullian, A & Jerrim, J. (2014). Primary and secondary education and poverty review. http://www.cls.ioe.ac.uk/librarymedia/documents/Primary%20and%20secondary%20education%20and%20poverty%20review%20August%202014.pdf. Accessed 2015/09/15.
  • Cowan C.D., Hauser, M.R., Kominski, A.R & Levin, M.H. (2012). Improving the measurement of socioeconomic status for National Assessment of educational progress: A theoretical foundation. https://nces.ed.gov/nationsreportcard/pdf/researchcenter/Socioeconomic_Factors.pdf. Date of accessed 2015/08/09.
  • Dunga, S.H. & Sekatane, M.B. (2014). Determinants of employment status and its relationship to poverty in Bophelong Township. Mediterranean Journal of Social Sciences, 5(21), 215-220.
  • Filmer, D & Pritchett, L.H. (2001). Estimating wealth effects without expenditure data-or tears: an application to educational enrolments in states of India. http://vanneman.umd.edu/socy699J/FilmerP01.pdf. Accessed 2015/10/27.
  • Gordon, D., Adelman, L., Ashworth, K., Bradshaw, J., Levitas, R., Middleton, S., Pantazis, C., Patsios, D., Payne, S., Townsend, P. & Williams, J. (2000). Poverty and social exclusion in Britain. UK: Joseph Rowntree Foundation.
  • Grobler, W.C.J & Sekhampu, J. (2012). Determinants of household food expenditure among household receiving government grants in South Africa. Annual World Business Research Conference, October 2012, Bangkok, Thailand.
  • Habyarimana, F., Zewotir, T., & Ramroop, S. (2015). Determinants of poverty of households in Rwanda: an application of quantile regression. Journal of Human Ecology, 50(1), 19-30.
  • Hauser, R.M & Warren, J.R. (1997). Socioeconomic indexes for occupations: A review, update, and critique. Sociological Methodology, 27(1), 177-298.
  • Kamuzora, C.L. (2001). Poverty and family size patterns: Comparison across African countries. REPOA Research Report No. 01.3. Dar Es Salaam: Mkuki Na Nyota Publishers.
  • Oakes, J.M & Rosser.P.H. (2002). The measurement of SES in health research: current practice and steps toward a new approach. Social science & medicine, 56,767-784.
  • Meyer, D. F., & Nishimwe-Niyimbanira, R. (2016). The impact of household size on poverty: An analysis of various low-income townships in the Northern Free State region, South Africa. African Population Studies, 30(2), 2283-2295.
  • Sadeghi, J. M. (2001). Determinants of Poverty in Rural Areas: Case of Savejbolagh Farmers in Iran, World Bank Working Papers 0112.
  • Saghir, J. and Santoro, J. (2018). Urbanization in Sub-Saharan Africa: Meeting Challenges by Bridging Stakeholders Center for Strategic and International Studies (CSIS). https://www.csis.org/analysis/urbanization-sub-saharan-africa. Accessed 2018/06/02.
  • Scott, J. (2002). Social class and stratification in late modernity. Acta Sociologica, 45(1), 23-35.
  • Sekhampu, T. J. (2013). Determinants of poverty in a South African township.Journal of Social Sciences, 34(2), 145-153.
  • Sekhampu, T.J. & Muzindutsi, P.F. (2014). Gender Analysis of Household Poverty–An Empirical Analysis. Studia Universitatis Babes-Bolyai, Oeconomica, 59(1), 44-56.
  • Suryadarma, D., & Suryahadi, A. (2009). The contrasting role of ability and poverty on education attainment: evidence from Indonesia. SMERU Working Paper. SMERU Research Institute.
  • Vyas, S., & Kumaranayake, L. (2006). Constructing socio-economic status indices: how to use principal components analysis. Health policy and planning, 21(6), 459-468.
  • World Bank (2005). Introduction to Poverty Analysis. Washington, DC: World Bank Group.
  • World Bank (2017). The Development Indicators (WDI) 2017 Maps. https://data.worldbank.org/products/wdi-maps. Accessed 2018/05/06.
There are 30 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Research Article
Authors

Paul-francois Muzindutsi This is me

Publication Date January 1, 2018
Published in Issue Year 2018 Volume: 10 Issue: 1

Cite

APA Muzindutsi, P.-f. (2018). A COMPARATIVE ANALYSIS OF INCOME- AND ASSET-BASED POVERTY MEASURES OF HOUSEHOLDS IN A TOWNSHIP IN SOUTH AFRICA. International Journal of Economics and Finance Studies, 10(1), 184-202.
AMA Muzindutsi Pf. A COMPARATIVE ANALYSIS OF INCOME- AND ASSET-BASED POVERTY MEASURES OF HOUSEHOLDS IN A TOWNSHIP IN SOUTH AFRICA. IJEFS. January 2018;10(1):184-202.
Chicago Muzindutsi, Paul-francois. “A COMPARATIVE ANALYSIS OF INCOME- AND ASSET-BASED POVERTY MEASURES OF HOUSEHOLDS IN A TOWNSHIP IN SOUTH AFRICA”. International Journal of Economics and Finance Studies 10, no. 1 (January 2018): 184-202.
EndNote Muzindutsi P-f (January 1, 2018) A COMPARATIVE ANALYSIS OF INCOME- AND ASSET-BASED POVERTY MEASURES OF HOUSEHOLDS IN A TOWNSHIP IN SOUTH AFRICA. International Journal of Economics and Finance Studies 10 1 184–202.
IEEE P.-f. Muzindutsi, “A COMPARATIVE ANALYSIS OF INCOME- AND ASSET-BASED POVERTY MEASURES OF HOUSEHOLDS IN A TOWNSHIP IN SOUTH AFRICA”, IJEFS, vol. 10, no. 1, pp. 184–202, 2018.
ISNAD Muzindutsi, Paul-francois. “A COMPARATIVE ANALYSIS OF INCOME- AND ASSET-BASED POVERTY MEASURES OF HOUSEHOLDS IN A TOWNSHIP IN SOUTH AFRICA”. International Journal of Economics and Finance Studies 10/1 (January 2018), 184-202.
JAMA Muzindutsi P-f. A COMPARATIVE ANALYSIS OF INCOME- AND ASSET-BASED POVERTY MEASURES OF HOUSEHOLDS IN A TOWNSHIP IN SOUTH AFRICA. IJEFS. 2018;10:184–202.
MLA Muzindutsi, Paul-francois. “A COMPARATIVE ANALYSIS OF INCOME- AND ASSET-BASED POVERTY MEASURES OF HOUSEHOLDS IN A TOWNSHIP IN SOUTH AFRICA”. International Journal of Economics and Finance Studies, vol. 10, no. 1, 2018, pp. 184-02.
Vancouver Muzindutsi P-f. A COMPARATIVE ANALYSIS OF INCOME- AND ASSET-BASED POVERTY MEASURES OF HOUSEHOLDS IN A TOWNSHIP IN SOUTH AFRICA. IJEFS. 2018;10(1):184-202.