Household and Contextual Indicators of Poverty in The Gauteng Province of South Africa: a Multilevel Analysis.

• Autorzy: Nonkosazana Molepo , Nkoti Solly Molepo
• Języki publikacji: EN

Abstrakty

EN

This study aims to analyse the socio-economic fac- tors contributing to poverty reduction in South Africa using time series data from 2006 to 2019. The stationarity of the variables will be assessed by applying the Augmented Dickey Fuller (ADF) test. The Autoregressive Distributed Lag (ARDL) analytical technique will be adopted to analyse the cointegration amongst variables pertaining to different orders of cointegration amongst lower bound [I(0)] and upper bound [I(1)]. The study will analyse the long-term and short-term effects of the socio-economic factors contributing to poverty reduction in South Africa. If the calculated F-statistic is greater than the upper bound [I(1)], the Error Correction Model will be adopted to assess the short-run effects. Diagnostic tests will be performed to test the robustness of the model. The tests will performed will include: (1) the Breusch-Godfrey test for serial correlation; (2) the Jarque-Bera test for normality; (3) the Breusch-Pagan-Godfrey technique to test for hetero- scedasticity; and (4) the cumulative sum chart to detect deviation from the average associated with a subgroup.(original abstract)

Słowa kluczowe

EN

Poverty; Poverty reduction; Socio-economic research

PL

Ubóstwo; Zwalczanie ubóstwa; Badania społeczno-ekonomiczne

• Czasopismo: Journal of Agribusiness and Rural Development
• Rocznik: 2022
• Numer: z. 4 (66)
• Strony: 341--354

Twórcy

autor

Nonkosazana Molepo

• University of Pretoria, South Africa

autor

Nkoti Solly Molepo

• North West Department of Agriculture and Rural Development, South Africa

Bibliografia

• Adjei, P.O., Adjei, J.O. (2016). Analysis of the impact of alternative enterprise interventions on poverty and livelihoods in rural Ghana. Afr. Rev. Econ. Fin., 8(2), 269-291.
• Adjei, P.O., Segbefia, A.Y., Kyei, P.O. (2014). Re-conceptualising poverty for optimising poverty reduction: the basic means approach. GIMPA J. Leader. Manag. Admin., 8(1), 127-149.
• Amara, M., Jemmali, H. (2018). Household and contextual indicators of poverty in Tunisia: A multilevel analysis. Soc. Indic. Res., 137(18), 113-138.
• Arndt, C.R., Davies, S., Gabriel, L., Harris, K. Makrelov, S. Robinson, S. Levy, Simbanegavi, W., van Seventer, D., Anderson, L. (2020). Covid-19 Lockdowns, Income Distribution, and Food Security: An Analysis for South Africa. Glob. Food Sec., 26(10), 10-22.
• Barahona, I. (2018). Poverty in Mexico: Its relationship to social and cultural indicators. Soc. Indic. Res.: Intern. Interdisc. J. Qual. Life Measur., 135(2), 599-627.
• Danmaraya, I.S., Hassan, S. (2016). Electricity consumption and manufacturing sector productivity in Nigeria: An Autoregressive Distributed Lag-bounds testing approach. Int. Energ. Econ. Pol., 6(2), 195-201.
• Dharmasena, S., Bessler, D.A., Capps, O. (2016). Food environment in the United States as a complex economic system. Food Policy, 61(4), 163-175.
• Duy Khe, N., Eriksson, B., Nguyen, P.D., Hojer, B., Diwan, V.K. (2003). Faces of poverty: sensitivity and specificity of economic classifications in rural Vietnam. Scand. J. Pub. Health, 31(62), 70-755.
• Eigbiremolen, G.O. (2018). Poverty trends and poverty dynamics: Analysis of Nigerian's first ever national panel survey data. J. Int. Dev., 30(18), 691-706.
• Francis, D., Webster, E. (2019). Poverty and inequality in South Africa: critical reflections. Dev. South. Afr., 36(6), 788-802.
• Freeman, S. (2018). The current global reality: poverty and income inequality. Semin. Pediatr. Neurol., 27(1-9). DOI: 10.1016/j.spen.2018.03.001.
• Gnangnon, S.K. (2021). Poverty volatility and poverty in developing countries. Inst. Econ. Aff., 41(21), 84-95.
• Molepo, N., Molepo, N. S. (2022). Household and contextual indicators of poverty in the Gauteng province of South Africa: A multilevel analysis. J. Agribus. Rural Dev., 4(66), 341-354. http://dx.doi.org/10.17306/J.JARD.2022.01612 354 www.jard.edu.pl
• Gujarati, D. (2011). Econometrics by example. New York: Palgrave Macmillian.
• Gulati, M., Jacobs, I., Jooste, A., Naidoo, D., Fakir, S. (2013). The Water-Energy-Food Security Nexus: Challenges and Opportunities for Food Security in South Africa. Aquat. Proced., 1, 150-164.
• Kheir, V.B. (2018). The nexus between financial development and poverty reduction in Egypt. Rev. Econ. Polit. Sci., 3(2), 40-55.
• Magombeyi, M.T., Odhiambo, N.M. (2017). Causal relationship between FDI and poverty reduction in South Africa. Cogent Econ. Fin., 5(1), 1-12.
• Masuku, M., Selepe, M., Ngcobo, N. (2017). Status of Household Food Security in Rural Areas at uThungulu District, Kwa-Zulu Natal, South Africa. Afr. J. Hospit. Tour. Leis., 6, 1-11.
• Mazenda, A., Molepo, N., Mushayanyama, T., Ngarava, S. (2022). The invisible crisis: the determinants of local food insecurity in Gauteng municipalities, South Africa. Brit. Food J., 10(1), 1-17.
• Mbuli, B.N. (2008). Poverty Reduction Strategies in South Africa. Unpublished Master dissertation. Pretoria: University of South Africa.
• Mhammad, U.F., David, J. (2019). Relationship between poverty and unemployment in Niger State. J. Ilmu Ekon., 8(1), 71-78.
• South Africa. National Planning Commission (2011). National Development Plan-Vision 2030. Pretoria: Government Printers.
• Thompson, M.N., Dahling, J.J. (2019). Employment and poverty: Why work matters in understanding poverty. Am. Psychol. Assoc., 74(6), 673-684.
• Wooldridge, J. (2013). Introductory econometrics: A mod- ern approach. Michigan State: South-Western, Cengage learning.
• Zizzamia, R. (2020). Is employment a panacea for poverty? A mixed-methods investigation of employment decisions in South Africa. Elsevier. DOI: 10.13140/ RG.2.2.25053.67044

Identyfikatory

DOI

10.17306/J.JARD.2022.01612