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
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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.
未就业、未接受教育或培训青年的前因:微观层面的证据
研究方向:研究目的:本研究旨在确定导致南非年轻人被归类为 "NEET "的因素:考虑到南非不断上升的 NEET 率和潜在的人力资本损失,本研究弥补了在了解青年失业和脱离教育和/或培训的驱动因素方面存在的重大空白:本研究采用横截面数据分析技术,使用《季度劳动力调查》数据,以南非统计局提供的 14 338 名 15-34 岁青年为样本:研究发现,教育水平、种族和年龄是预测 NEET 状态的重要因素。研究强调了社会资本和地理障碍在决定青年个人的 NEET 状态中的作用,而地点和性别也会产生影响:研究结果对政策制定者具有重要意义。可采取的战略可以针对所发现的具体因素,如改善教育和培训机会、解决种族差异和减少与性别相关的障碍:本研究揭示了南非青年中出现 NEET 的原因。政策制定者可以利用这些信息制定有针对性的干预措施,减少 NEET 人口,促进社会经济发展。这项研究提供了宝贵的资源,可用于指导减少 NEET 人口和发挥南非青年潜力的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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27 weeks
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