Sectoral labour productivity and unemployment in South Africa
Ebenezer Megbowon ORCID ↗ · Mulatu Zerihun ORCID ↗
International Journal of Business Ecosystem & Strategy · 2025 · Vol. 7 / Issue 1 · 131-141
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Abstract
This study investigates the relationship between sectoral labour productivity and unemployment in South Africa by answering the question how has labour productivity across different sectors affected employment rates in South Africa? Both descriptive statistics and inferential statistics (Augmented Dickey–Fuller and Phillips-Perron tests and Autoregressive Distributed Lag Bound test and estimation techniques) were applied on obtained timeseries data for the period 1991-2022. The analysis surprisingly shows that none of the sectoral labour productivity variables contribute to unemployment reduction in the country. Plausible reasons for this finding include the adoption of automation and technological advancements in labour intensive, imbalance between rate of job loss in labour intensive sector and rate of job creation in the service sector during sectoral shifts and economic transition, and general lower purchasing due to unequal distribution of labour productivity gain and income inequality that could have boosted consumer demand, these measures can stimulate economic growth and job creation. Various recommendations are suggested to reduce unemployment in the light of these findings.
Keywords: {'name': 'Economic Sector'}, {'name': 'Labour Productivity'}, {'name': 'Unemployment'}, {'name': 'South Africa'}
Authors & affiliations
Ebenezer Megbowon
Affiliation not supplied
Mulatu Zerihun
Affiliation not supplied
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DOI: 10.25103/ijbesar.152.05
DOI: 10.1108/JEAS-01-2020-0011
DOI: 10.3386/w3223
DOI: 10.28991/esj-2020-01226
DOI: 10.1016/j.heliyon.2024.e25094
DOI: 10.37256/ges.5120243330
DOI: 10.1080/23322039.2022.2146630
DOI: 10.1108/JEAS-01-2022-0021
DOI: 10.21511/imfi.13(2-1).2016.11
Bhorat, H., Lilenstein, A., Monnakgotla, J., Thornton, A., & Van der Zee, K. (2017). The socio-economic determinants of crime in South Africa: An empirical assessment. Cape Town: Development Policy Research Unit, University of Cape Town.
DOI: 10.1007/s11079-018-9486-z
DOI: 10.1007/s11482-018-9685-1
DOI: 10.1007/s11403-020-00287-1
DOI: 10.1111/1467-8268.12250
DOI: 10.5772/intechopen.96339
DOI: 10.1108/AJEMS-09-2022-0378
DOI: 10.3390/socsci8120330
DOI: 10.1177/21582440211023423
DOI: 10.1186/s43093-021-00088-3
DOI: 10.32368/FJES.20211701
DOI: 10.1007/s13132-022-01006-w
DOI: 10.3390/economies5040048
DOI: 10.2478/foli-2020-0046
DOI: 10.51200/mjbe.vi.2890
DOI: 10.1016/j.heliyon.2024.e33519
DOI: 10.17221/263/2018-AGRICECON
DOI: 10.1002/pa.2053
DOI: 10.1002/jae.616
DOI: 10.1177/09749101221116715
StatsSA. (2019). Quarterly labour force survey, Quarter 2; Pretoria: Government Printer. Available online: https://www.statssa.gov.za/publications/P0211/P02112ndQuarter2024.pdf (accessed on 15 August 2024).
DOI: 10.1257/jep.7.1.45
Tsaurai, K. (2020). Macroeconomic determinants of unemployment in Africa: A panel data analysis approach. Acta Universitatis Danubius. Œconomica, 16(2), 89–112.
DOI: 10.1002/ijfe.2209