The common characteristics of employment status during the Covid-19 Lockdown
DOI:
https://doi.org/10.20525/ijrbs.v11i6.1964Keywords:
Covid-19; Employment; inequality, povertyAbstract
The National Development Plan (NDP) of South Africa identifies the main ills that must be dealt with by 2030. These are poverty and inequality. The NDP also clearly points out the need to deal with unemployment. These build into the sustainable development goals with 2030 as the target year for achievement. Both the NDP for South Africa and the SDGs at the global level had these targets set way before the 2019 coronavirus hit. Now given the disruption that this pandemic caused, the trends and possibility of achieving these goes must be investigated. This paper looks at employment focusing on the characteristics of the people that had a job to return to after the hard lockdown in South Africa. The main objective is to identify the significant predictors of employment status at the household level. The paper uses data from Statistics in South Africa that were collected in 2021 during the midst of the pandemic. Variables such as age, province, race or population group and gender were included in the analysis. The results of the logistic regression show that age, race, age of the province, and household size are all significant predictors of whether the head of the household was in salaried employment during the Covid-19 pandemic. The fact that females were more likely to be in employment is painting a unique picture of the labour force than what is normally observed in the surveys.
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African Union. (2015). The Effects of Traditional and Religious Practices of Child Marriage on Africa’s Socio-Economic Development: A Review of Research, Reports and Toolkits from Africa. African Union, 1–87. http://pages.au.int/cecm
Assaad, R., El-Hamidi, F., & Ahmed, A. U. (2002). Discussion Paper BRIEFS (Discussion paper 88).
Bisika, T., Ntata, P., & Konyani, S. (2009). Gender-violence and education in Malawi: a study of violence against girls as an obstruction to universal primary school education. Journal of Gender Studies, 18(3), 287–294. https://doi.org/10.1080/09589230903057183 DOI: https://doi.org/10.1080/09589230903057183
Dunga, S. H. (2016). An Exploratory Study Of The Variation In Unemployment Length Of Graduates Of Different Degree Programs. International Business & Economics Research Journal (IBER), 15(2), 69. https://doi.org/10.19030/iber.v15i2.9636 DOI: https://doi.org/10.19030/iber.v15i2.9636
Dunga, S. H. (2017). A gender and marital status analysis of household income in a low-income township. Studia Universitatis Babe?-Bolyai Oeconomica, 62(1), 20–30. https://doi.org/10.1515/subboec-2017-0002 DOI: https://doi.org/10.1515/subboec-2017-0002
Dunga, S. H. (2019). Housing Insecurity Measure, a Development of a Validated Scale Using Household Data. May, 38–46. https://doi.org/10.20472/iac.2019.045.011 DOI: https://doi.org/10.20472/IAC.2019.045.011
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. https://doi.org/10.5901/mjss.2014.v5n21p215 DOI: https://doi.org/10.5901/mjss.2014.v5n21p215
Evans, G. (2006). Child development and the physical environment. Annu Rev Psychol, 57, 423–451. https://doi.org/10.1146/annurev.psych.57.102904.190057 DOI: https://doi.org/10.1146/annurev.psych.57.102904.190057
Geller, A., & Curtis, M. A. (2011). A Sort of Homecoming: Incarceration and the housing security of urban men. Social Science Research, 40(4), 1196–1213. https://doi.org/10.1016/j.ssresearch.2011.03.008 DOI: https://doi.org/10.1016/j.ssresearch.2011.03.008
Governmen of Malawi. (2019). Budget Scoping on Programmes and Intervention to End Child Marriage in Malawi.
Grobler, W. (2015). Do Social Grants affect Household Dietary Diversity? 30th International Business Research Conference, April. http://www.wbiworldconpro.com/pages/previous_confo/dubai-conference-2015-april
Grobler, W. C. J., & Dunga, S. (2019). Analysis of Food Security Status Among the Elderly in South Africa. September, 91–102. https://doi.org/10.20472/iac.2019.050.013 DOI: https://doi.org/10.20472/IAC.2019.050.013
Hughes, B. B., Hanna, T., Mcneil, K., Bohl, D. K., & Moyer, J. D. (2021). Pursuing the Sustainable Development Goals in a World Reshaped by COVID-19. In … by COVID-19. https://sdgintegration.undp.org/sites/default/files/Foundational_research_report.pdf
ILO. (2018). Care work and care jobs for the futureof decent work. In Care Work and Class: Domestic Workers’ Struggle for Equal Rights in Latin America. https://doi.org/10.1177/0094306114545742h DOI: https://doi.org/10.1177/0094306114545742h
Khan, A. R. (2007). Growth, employment and poverty: An analysis of the vital nexus based on some recent UNDP and ILO/SIDA studies. In DESA Working Paper No 49 (Vol. 49, Issue 49). http://www.un.org/esa/desa/papers
Liu, Y., Njai, R. S., Greenlund, K. J., Chapman, D. P., & Croft, J. B. (2014). Relationships between housing and food insecurity, frequent mental distress, and insufficient sleep among adults in 12 US States, 2009. Preventing Chronic Disease, 11(6), 1–9. https://doi.org/10.5888/pcd11.130334 DOI: https://doi.org/10.5888/pcd11.130334
Lundberg, S., & Pollak, R. A. (2015). The Evolving Role of Marriage: 1950 - 2010. Washington University Working Paper, 25(February), 29–50. DOI: https://doi.org/10.1353/foc.2015.0011
Mdluli, P., & Dunga, S. (2021). Determinants of Poverty in South Africa Using the 2018 General Household Survey Data Determinants of Poverty in South Africa Using the 2018. Journal of Poverty, 00(00), 1–17. https://doi.org/10.1080/10875549.2021.1910100 DOI: https://doi.org/10.1080/10875549.2021.1910100
Mincer, J. (1958). Investment in Human Capital and Personal Income Distribution. Journal of Political Economy, 66(4), 281–302. DOI: https://doi.org/10.1086/258055
Mincer, J. (1997). The Production of Human Capital and the Life Cycle of Earnings?: Variations on a Theme. Journal of Labor Economics, 15(1). DOI: https://doi.org/10.1086/209855
Mncayi, P., & Dunga, S. H. (2016). Career choice and unemployment length: A study of graduates from a South African university. Industry and Higher Education, 30(6), 413–423. https://doi.org/10.1177/0950422216670500 DOI: https://doi.org/10.1177/0950422216670500
Mncayi, P., & Dunga, S. H. (2019). Analysis of Poverty Among the Elderly in South Africa Using the 2018 Ghs Data. September, 286–301. https://doi.org/10.20472/iac.2019.052.044 DOI: https://doi.org/10.20472/IAC.2019.052.044
National Planning Commission. (2012). National Development Plan 2030: Our future - make it work. The presidency, Republic of South Africa.
OECD. (2017). Future of work and skills. Organisation for Economic Co-Operation and Development, February, 24.
Shabbir, T. (1994). Mincerian Earnings Function for Pakistan. The Pakistan Development Review, 33(1), 1–18. DOI: https://doi.org/10.30541/v33i1pp.1-18
Shai, L. (2021). Public Employment Programmes in the Care Economy, the case of South Africa (ILO Working paper 29; April/2021).
Shinn, M., Weitzman, B. C., Stojanovic, D., Knickman, J. R., Jiménez, L., Duchon, L., James, S., & Krantz, D. H. (1998). Predictors of homelessness among families in New York City: From shelter request to housing stability. American Journal of Public Health, 88(11), 1651–1657. https://doi.org/10.2105/AJPH.88.11.1651 DOI: https://doi.org/10.2105/AJPH.88.11.1651
Sweetland, S. R. (1996). Human capital theory: Foundations of a field of inquiry. Review of Educational Research, 66(3), 341–359. https://doi.org/10.3102/00346543066003341 DOI: https://doi.org/10.3102/00346543066003341
UN DESA. (2016). Employment Opportunities: Do Race and Ethnicity Matter? In Report on the World Social Situation. http://bit.ly/RWSS2016
van Aardt, I. (2012). A review of youth unemployment in South Africa , 2004 to 2011. South African Journal of Labour Relations, 36(1), 54–68.
World Bank. (2016). Poverty and Shared Prosperity 2016: Taking on Inequality. https://doi.org/10.1596/978-1-4648-0958-3
World Bank. (2018). Poverty and Shared Prosperity 2018: Piecing together the poverty puzzle. https://doi.org/10.1596/978-1-4648-0958-3 DOI: https://doi.org/10.1596/978-1-4648-0958-3
World Bank. (2020a). Poverty And Shared Prosperity 2020: Reversals of fortune: Vol. 3678 LNBI. https://doi.org/10.2307/j.ctv14npk3p.9 DOI: https://doi.org/10.2307/j.ctv14npk3p.9
World Bank. (2020b). the economic and social impact of covid -19: How COVID-19 Could Affect Poverty and Household Welfare in the Western Balkans. In World Bank Group (Issue 17). http://documents1.worldbank.org/curated/pt/236311590680555002/pdf/The-Economic-and-Social-Impact-of-COVID-19-Poverty-and-Household-Welfare.pdf
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