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Developing a Youth Labour Market Index for South Africa at the sub-national level

Author

Listed:
  • Gibson Mudiriza

    (University of the Free State)

  • Joanna Grotte

    (SALDRU, University of Cape Town)

  • Ariane De Lannoy

    (SALDRU, University of Cape Town)

  • Anda David

    (Agence Française de Développement)

  • Murray Leibbrandt

    (SALDRU, University of Cape Town)

Abstract

Assessing the labour market situation for young people is a critical area of research that has attracted the attention of scholars and policymakers globally. However, understanding the complexity of the labour market for youth, particularly in developing countries, requires a comprehensive, multidimensional approach. We address this need by developing a Youth Labour Market Index (YLMI) for South Africa, incorporating ten indicators that capture the unique youth labour market situation from various perspectives. Drawing on nationally representative data from the Quarterly Labour Force Survey for the period 2013-2023, the YLMI provides a nuanced understanding of the labour market for 15-35-year-olds, and further allows for the identification of variations in the labour market’s functionality for various subgroups of the youth population. The study reveals alarmingly low YLMI scores for South Africa and its nine provinces, which have decreased over time. Significant gender and rural-urban disparities in the distribution of the YLMI scores are observed, and the YLMI scores exhibit an unequal spatial distribution, with lower values concentrated in provinces in former homeland areas. Further analysis reveals that the working conditions and education dimensions are the primary contributors to the low YLMI score, highlighting their role as major drivers of the underperforming youth labour market. Specifically, relative unemployment, skills mismatch, vulnerable employment, and lack of secondary education are the key indicators contributing to the low YLMI scores, with vulnerable employment being particularly critical. These results highlight that the South African labour market for youth is highly dysfunctional and has worsened over time. A defunct labour market entrenches inequality by contributing to further unemployment, pointing to an urgent need for policymakers to address the deteriorating situation. The YLMI provides a valuable tool for informing and targeting the necessary policies and interventions to promote a well-functioning labour market for youth.

Suggested Citation

  • Gibson Mudiriza & Joanna Grotte & Ariane De Lannoy & Anda David & Murray Leibbrandt, 2023. "Developing a Youth Labour Market Index for South Africa at the sub-national level," SALDRU Working Papers 297, Southern Africa Labour and Development Research Unit, University of Cape Town.
    • Handle: RePEc:ldr:wpaper:297
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    References listed on IDEAS

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    1. Rathi, Sambhu Singh & Vermaak, Claire, 2018. "Rural electrification, gender and the labor market: A cross-country study of India and South Africa," World Development, Elsevier, vol. 109(C), pages 346-359.
    2. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    3. David Francis & Imraan Valodia & Edward Webster, 2020. "Politics, Policy, and Inequality in South Africa Under COVID-19," Agrarian South: Journal of Political Economy, Centre for Agrarian Research and Education for South, vol. 9(3), pages 342-355, December.
    4. Hayley Innez Wakefield & Derek Yu & Christie Swanepoel, 2022. "Revisiting transitory and chronic unemployment in South Africa," Development Southern Africa, Taylor & Francis Journals, vol. 39(2), pages 87-107, March.
    5. Kim Edwards & Linus Gustafsson, 2013. "Indicators of Labour Demand," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 1-12, September.
    6. Gerber, Christine, 2022. "Gender and precarity in platform work: Old inequalities in the new world of work," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 37(2), pages 206-230.
    7. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    8. Botelho, Vasco & Da Silva, António Dias, 2019. "Indicators of labour market conditions in the euro area," Economic Bulletin Boxes, European Central Bank, vol. 8.
    9. Rahul Anand & Siddharth Kothari & Naresh Kumar, 2016. "South Africa: Labor Market Dynamics and Inequality," IMF Working Papers 2016/137, International Monetary Fund.
    10. Zuzana Brixiová Schwidrowski & Susumu Imai & Thierry Kangoye & Nadege Desiree Yameogo, 2021. "Assessing gender gaps in employment and earnings in Africa: The case of Eswatini," Development Southern Africa, Taylor & Francis Journals, vol. 38(4), pages 643-663, July.
    11. Miracle Ntuli & Prudence Kwenda, 2014. "Labour unions and wage inequality among African men in South Africa," Development Southern Africa, Taylor & Francis Journals, vol. 31(2), pages 322-346, March.
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