Purpose The purpose of this paper is to improve the understanding of the drivers and determinants of skills demand in South Africa, given the country’s history and its current design as a developmental state. Design/methodology/approach In this study, a mixed methods approach is used. The study draws information from in-depth interviews with transport sector stakeholders including employers, professional bodies, sector regulatory bodies and training providers. Complementary to the interviews, the study also analyses employer-reported workplace skills plans from 1,094 transport sector firms updated annually. A Heckman correction model is applied. Findings The study finds that changes in competition, technology, ageing employees, market conditions and government regulations are among the most frequently stated determinants reported through interviews. Using a Heckman regression model, the study identifies eight determining factors, which include location of firm, size of a firm, occupation type, racial and generational transformation, subsector of the firm, skills alignment to National Qualification Framework, reason for skills scarcity and level of skills scarcity reported. The South African transport sector skills demand is therefore mainly driven by the country’s history and consequently its current socio-economic policies as applied by the state itself. Research limitations/implications Wage rates are explored during stakeholder interviews and the study suggests that wage rates are an insignificant determinant of skills demand in the South African transport sector. However, due to poor reporting by firms, wage rates did not form a part of the quantitative analysis of the study. This serves as a limitation of the study. Practical implications Through this research, it is now clear that the state has more determining power (influence) in the transport sector than it was perceived. The state can use its power to be a more effective enabler towards increasing employer participation in skills development of the sector. Social implications With increased understanding and awareness of state’s influence in the sector, the country’s mission to redress the social ills of the former state on black South Africans stands a better chance of success. Private sector resources can be effectively mobilized to improve the social state of previously disadvantaged South Africans. However, given the economic dominance of the private sector and its former role in the apartheid era in South Africa; too much state influence in a supposedly free market can result in corporate resistance and consequently, market failure which can be seen as result of political interference. Originality/value South Africa has had an unprecedented social and economic trajectory to date. This said, its economic and social policies are unlike what we have observed before. Thus, identification of determinants and understanding of mechanisms of influence, on skills demand in the sector in which an African state plays such a close and active role, is in itself a unique contribution to knowledge and compels us to revisit our traditional assumptions about market behaviour. This study is one of the very few of its kind in the labour market research with a South African context.
The paper summarises a systematic review of 165 effects of 37 education interventions implemented in South Africa post-1994, by public and private education agencies. The review appraises 35 impact evaluations and conducts a comparative meta-analysis of rigorous experimental and quasi-experimental studies implemented in South Africa's schooling sector. The meta-analysis reveals many locally-produced studies, which had not been captured in previous international reviews, and highlights some of the programmes and policies that had the most impact on language, mathematics and science learning in South African public schools. It also explores the various contextual factors and internal design features that influence the magnitude of the effects reported in various impact studies. The paper provides researchers, funders, governments and education managers with a synthesis of 20 years of empirical evidence from South Africa that can inform programming and policies for improved learning outcomes in developing countries.
Background: This article was based on the study on the assessment of evaluation capacity in the transport sector in South Africa. The purpose of the study was to test the Six Sphere Framework (SSF), which is an innovative evaluation capacity diagnostic tool developed by the Centre for Learning on Evaluation and Results (CLEAR-AA) based in South Africa.Objectives: The article presents the findings emanating from the study and new knowledge on how evaluation capacity assessments can be conducted in the transport sector in South Africa.Method: A variety of methods including a survey, semi-structured interviews, document review and focus group discussions were used to collect data from primary and secondary sources. In all the cases, research questions were structured around the six components of the framework. Similarly, the presentation of the findings was arranged in themes that mirror these components.Results: The article locates the SSF within the current evaluation capacity development literature and argues that existing evaluation capacity assessment tools are inadequate to understand pertinent issues affecting the use of evidence in the transport sector in South Africa.Conclusion: In this regard, the framework is recommended as an innovative tool to assist evaluation practitioners and scholars to better understand evaluation capacity constraints within a broader context that involves logistical, technical, contextual, social and political dimensions. It also offers an important insight on how these components interfaced to shape the organisational value system that impacts the use of evidence in the transport sector in South Africa.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.