Original Research

Antecedents of youths who are not in employment, education or training: Micro-level evidence

Jacques J.J. de Jongh, Precious Mncayi-Makhanya, Phindile Mdluli-Maziya
Journal of Economic and Financial Sciences | Vol 17, No 1 | a899 | DOI: https://doi.org/10.4102/jef.v17i1.899 | © 2024 Jacques J.J. de Jongh, Precious Mncayi-Makhanya, Phindile Mdluli-Maziya | This work is licensed under CC Attribution 4.0
Submitted: 31 July 2023 | Published: 05 April 2024

About the author(s)

Jacques J.J. de Jongh, Department of Economics, Faculty of Economic and Management Sciences, North-West University, Vanderbijlpark, South Africa
Precious Mncayi-Makhanya, Department of Economics, Faculty of Economic and Management Sciences, North-West University, Vanderbijlpark, South Africa
Phindile Mdluli-Maziya, Department of Economics, Faculty of Economic and Management Sciences, North-West University, Vanderbijlpark, South Africa

Abstract

Orientation: The increasing number of young people not in employment, education or training (NEET) is a concerning global trend.

Research purpose: This study aimed to identify the factors that contribute to young individuals being classified as NEET in South Africa.

Motivation for the study: Given the rising NEET rates in South Africa and the potential loss of human capital, this study addresses a critical gap in understanding the drivers of youth unemployment and disengagement from education and/or training.

Research approach/design and method: Employing cross-sectional data analysis techniques, the study used the Quarterly Labour Force Survey data with a sample of 14 338 youths aged 15–34 years from Statistics South Africa.

Main findings: The study identified education level, race and age as significant predictors of NEET status. The research highlighted the role of social capital and geographical barriers in determining the NEET status of young individuals, with location and gender having an impact.

Practical/managerial implications: The study’s findings have important implications for policymakers. Possible strategies can target the specific factors identified, such as improving access to education and training, addressing racial disparities and reducing gender-related barriers.

Contribution/value-add: This study reveals the causes of NEET among South African youth. Policymakers can use this information to create targeted interventions, reduce the NEET population and promote socio-economic development. The research provides a valuable resource to guide efforts in reducing the NEET population and harnessing the potential of the country’s youth.


Keywords

youth; young people; not in employment; education or training; youth NEET; South Africa

JEL Codes

J01: Labor Economics: General; J13: Fertility • Family Planning • Child Care • Children • Youth; J20: General; O10: General

Sustainable Development Goal

Goal 8: Decent work and economic growth

Metrics

Total abstract views: 655
Total article views: 420


Crossref Citations

No related citations found.