> For the complete documentation index, see [llms.txt](https://laurence-wilse-samson.gitbook.io/textbooks/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://laurence-wilse-samson.gitbook.io/textbooks/the-south-african-economy/part-iii-people/chapter-9.md). # Chapter 9: Human Capital—Education & Health {% hint style="info" %} **Part III: People** — Chapter 8 documented the labour market crisis — the demand side of human welfare. This chapter examines the supply side: the education and health systems that shape South Africans' capabilities and opportunities. Chapter 10 completes Part III by analysing how these dynamics translate into inequality, poverty, and social protection outcomes. {% endhint %} ## Learning Objectives By the end of this chapter, you should be able to: 1. **Analyse** how South Africa's dual education and health systems perpetuate inequality and constrain economic growth 2. **Evaluate** learning outcomes at different levels—from early childhood through post-secondary—and their implications for the labour market 3. **Assess** the performance of the TVET sector and its linkages (or lack thereof) to employer demand 4. **Explain** the health system's evolution from the HIV/AIDS crisis through COVID-19 and the ongoing NHI debate 5. **Discuss** policy reforms needed to improve human capital outcomes and their connections to industrial strategy *** ## I. Introduction: The Human Capital Constraint Human capital—skills, knowledge, and health—remains both South Africa's deepest development constraint and largest unrealised asset (National Planning Commission 2012; World Bank 2018b). Dual education and health systems produce world-class outcomes for a minority and weak outcomes for the majority (Spaull 2013; Coovadia et al. 2009). This helps explain unemployment coexisting with skills shortages: education underproduces work-ready capability while health burdens reduce productivity and labour supply (Banerjee et al. 2008). The contrast is stark: children in affluent urban areas are far more likely to attend functioning schools, reach university, and enter labour markets with globally competitive skills; children in poor rural areas face staffing gaps, infrastructure deficits, and weak foundational learning (Van der Berg 2008; Spaull 2015). These pathways, largely set at birth, reproduce intergenerational inequality (Seekings and Nattrass 2005). Human capital constraints bind directly to the unemployment crisis in Chapter 8. Employers report skills shortages despite mass joblessness. Capability-demand mismatch limits formal hiring, while HIV, chronic disease, and mental illness reduce labour supply and productivity (Coovadia et al. 2009; Mayosi et al. 2012). *** ## II. Early Childhood Development: The Foundation ### Access and Quality Gaps The first thousand days strongly shape lifelong cognitive and socio-emotional outcomes (Heckman 2006; Shonkoff and Phillips 2000). Yet South Africa's ECD system remains fragmented, underfunded, and highly unequal in quality. ECD reaches only about 40% of children under five, with access concentrated in urban and better-off households; many rural children have no formal provision (Statistics South Africa, *General Household Survey* various years). Quality also varies widely, from structured centres to informal childminding (Biersteker 2010). The shift of ECD from the Department of Social Development to Basic Education—announced in 2019 and operationalised from April 2022—signalled recognition of ECD's educational importance, but implementation challenges persist. Funding remains inadequate relative to need. Quality assurance and curriculum implementation are inconsistent. The workforce—predominantly women, often operating informally—lacks training and professional development pathways (Richter et al. 2012). The function transfer was intended to professionalise the sector by integrating it into a department with curriculum expertise and school-level infrastructure. In practice, the transition has been plagued by administrative confusion, funding gaps during the handover period, and uncertainty over registration requirements for the thousands of informal providers who constitute the backbone of township and rural ECD (Parliamentary Monitoring Group various years). Quality variation is extreme: urban ECD centres may charge R2,000—R5,000 per month and employ trained practitioners, while township and rural ECD is often unregistered, staffed by unqualified caregivers operating from homes or church halls, and dependent on parent fees that households can barely afford. The irony is well-established in the human capital literature: Nobel laureate James Heckman's research demonstrates that early childhood interventions yield the highest returns of any human capital investment—far exceeding returns to remedial education or job training later in life—yet South Africa invests less per child in ECD than in any other phase of education (Heckman 2006; Heckman et al. 2010). The fiscal logic for frontloading investment is overwhelming; the political logic, which rewards visible spending on older, voting-age constituencies, runs in the opposite direction. ### Nutrition and Cognitive Development Early-childhood malnutrition damages brain development with long-run effects on learning and productivity (Black et al. 2013; Heckman 2006). Despite middle-income status, chronic undernutrition remains high—and appears to be worsening: the National Food and Nutrition Security Survey found about 29% of under-fives stunted, up from 27% in the 2016 South African Demographic and Health Survey, with known effects on cognition and lifetime earnings (HSRC 2024; NDoH et al. 2019). Hunger amid food availability reflects poverty and household access failure, not national supply (Devereux and Waidler 2017). Poor households face inconsistent nutrition, and while the Child Support Grant helps, it often does not close nutritional gaps (Bhorat and Cassim 2014). School nutrition programmes reach over 9 million learners daily, providing meals that may be children's most reliable nutrition source. These programmes improve attendance and concentration, though quality and coverage vary across provinces (National Treasury Budget Review various years). *** ## III. Basic Education: Two Systems in One ### The Binary Reality Basic education effectively operates as two systems: a functioning minority-serving segment and a weak majority-serving segment (Spaull 2013; Van der Berg 2008). Fee-paying Quintile 4-5 and independent schools achieve far stronger outcomes; no-fee Quintile 1-3 schools carry severe learning deficits (Spaull 2015). This bifurcation reflects unequal resources, governance, and apartheid spatial legacies (Seekings and Nattrass 2005; Feinstein 2005). The damage was by design: as Giliomee (2009) documents, Bantu Education's architects openly stated their intention to prepare Black South Africans only for subordinate roles in the economy, and the classroom struggles that followed—between state control and community resistance—shaped a generation's relationship to formal schooling (Hyslop 1999). Former Model C schools retained experienced staff, stronger governance, and fee-funded support, while township and rural schools inherited long-run deficits (Fleisch 2008). Access has been largely achieved—over 98% of children enrol in primary school (Statistics South Africa, *General Household Survey* various years). But enrolment masks profound disparities in what children actually learn within school walls (Spaull 2013). **The Rise of Low-Fee Private Schools**: A notable market response to state education failure has been the emergence of low-fee independent schools targeting working-class and lower-middle-class families. Chains like Curro, SPARK Schools, NOVA Pioneer, and numerous smaller operators have expanded rapidly, offering fees of R15,000-R40,000 annually—far below elite private schools but still significant for their target market (Hofmeyr and Gillam 2019). Low-fee private schools market what many Quintile 1-3 schools struggle to provide: consistent teaching, functioning facilities, and stronger outcomes. Their expansion signals revealed household demand for quality alternatives (Centre for Development and Enterprise 2015a). Independent-school enrolment rose from about 400,000 in 2000 to over 700,000 by 2023. Critics argue low-fee private schools exacerbate inequality by allowing those with some means to exit, leaving public schools with fewer engaged parents and reduced pressure for improvement. Defenders counter that these schools provide options for families failed by the state, demonstrating what functioning schools look like, and potentially spurring public school improvement through competition. The policy implications are contested. Should government regulate low-fee schools more heavily, potentially reducing their expansion? Subsidise them to expand access? Learn from their practices to improve public schools? The sector's growth represents a market verdict on state failure—one that may pressure improvement or simply entrench a three-tier system (elite private, low-fee private, dysfunctional public) more deeply than the current two-tier arrangement. ### Learning Outcomes: The Crisis in Reading and Mathematics International assessments show the depth of the learning crisis (IEA 2023; Mullis et al. 2020). In PIRLS 2021, 81% of Grade 4 learners could not read for meaning—South Africa's worst-in-sample performance, below much poorer countries (IEA 2023). > **81%** — The proportion of South African Grade 4 learners who cannot read for meaning, the lowest performance among all 50+ countries participating in PIRLS.
Two line panels comparing South Africa with the top-performing country and with international benchmark lines. Top panel: PIRLS Grade 4 reading, 2006 to 2021, with South Africa at 302, 323, 320 and 288 against the 500 international centre point and the 400 low benchmark, while the top performer sits near 570 to 590. Bottom panel: TIMSS Grade 9 mathematics, 2003 to 2023, with South Africa rising to 352 (2011), 372 (2015), 389 (2019) and 397 (2023), still just below the 400 low benchmark, while the top performer sits above 600.

Figure 9.1: The Learning Crisis. Source: IEA PIRLS 2006–2021 (IEA 2023); IEA TIMSS 2003–2023 (Mullis et al. 2020; IEA 2024). South Africa's Grade 4 reading score fell to 288 in PIRLS 2021, far below the 400 low international benchmark and the 500 centre point. Grade 9 mathematics has improved steadily, from 352 in 2011 to 397 in TIMSS 2023, but remains short of the 400 benchmark. Note: the 2003 TIMSS point is plotted at 285; the published score is 264 (Mullis et al. 2020), so the 2003–2023 gain is larger than the subtitle printed on the chart.

COVID-19 worsened already weak learning outcomes (Bohmer and Wills 2023). PIRLS evidence suggests closures erased 1-2 years of progress, with a 32-point decline from 2016 to 2021—among the largest global drops (IEA 2023). Gustafsson and Taylor (2022) identify pre-pandemic improvement drivers that can inform recovery design. TIMSS (Trends in International Mathematics and Science Study) results offer a somewhat more positive picture at the senior level, though the latest round—TIMSS 2023, released in December 2024—is mixed. Grade 9 mathematics scores improved from 264 in 2003 to 389 in 2019 and again to 397 in 2023, substantial progress even if still below the low international benchmark of 400 and far below the scale centrepoint of 500 (Mullis et al. 2020; IEA 2024; Department of Basic Education and Human Sciences Research Council 2024). The 2023 round brought worse news elsewhere: Grade 9 science slipped from 370 (2019) to 362, while at Grade 5—the cohort whose foundation phase was disrupted by COVID-19 school closures—mathematics fell from 374 to 362 and science from 324 to 308, leaving South Africa's Grade 5 learners last among the 59 education systems participating at that level (IEA 2024; Department of Basic Education and Human Sciences Research Council 2024). The long-run improvement in Grade 9 mathematics suggests that focused intervention can move outcomes, though the gap to adequate performance remains vast. {% hint style="info" %} #### Worked Example: Learning-Adjusted Years of Schooling Enrolment statistics measure time in school, not learning. The World Bank's Human Capital Index converts the two into a single number—**learning-adjusted years of schooling (LAYS)**—by scaling expected years of schooling by how much children actually learn per year, as measured by a harmonised test score built from international assessments such as TIMSS and PIRLS (World Bank 2020b). **Step 1: Take the two inputs for South Africa (2020 update).** * Expected years of school (from age 4 to 18, given enrolment rates): **10.2 years** * Harmonised test score: **343**, on a scale where 625 represents advanced attainment and 300 minimum attainment **Step 2: Compute learning-adjusted years.** LAYS = expected years × (harmonised score ÷ 625) = 10.2 × (343 ÷ 625) = 10.2 × 0.549 ≈ **5.6 years** In other words, a South African child who spends 10.2 years in school acquires roughly what a child in a high-performing system would learn in 5.6 years. Nearly half of the time spent in school is, in learning terms, lost. **Step 3: Test the sensitivity.** Suppose the harmonised score rose by 8 points—roughly the gain recorded in Grade 9 TIMSS mathematics between 2019 and 2023 (389 to 397). LAYS = 10.2 × (351 ÷ 625) = 10.2 × 0.562 ≈ **5.7 years** A gain that was rightly welcomed as progress adds only about a tenth of a learning-adjusted year. To reach 8 LAYS at the same 10.2 expected years, the harmonised score would have to rise to 8 ÷ 10.2 × 625 ≈ **490**—a jump of almost 150 points, or roughly one and a half standard deviations on the international scale. **What the measure captures and what it misses.** LAYS is useful precisely because it separates schooling from learning and makes the cost of low quality visible in a unit—years—that everyone understands. But it has limits. The harmonised score anchors on a single subject domain (mathematics or reading) at one or two grades, so it says nothing about science, languages or non-cognitive skills. Linking scores across different assessments (TIMSS, PIRLS, regional studies such as SACMEQ) requires statistical bridging that introduces error, especially for countries that sit at the bottom of the scale where tests discriminate poorly. And the expected-years input is itself a projection from current enrolment rates. LAYS should therefore be read as an order-of-magnitude summary of the learning crisis, not a precise measurement of it. {% endhint %} The learning deficit emerges early and compounds through the system (Spaull 2013; Taylor 2009). By Grade 3, many learners have not mastered basic reading, making it impossible to "read to learn" in subsequent grades (Fleisch 2008). Without foundational literacy, students cannot access the curriculum regardless of other inputs. This creates a cascade of failure through secondary school and beyond. A critical but often underappreciated driver of the reading collapse is the Language of Learning and Teaching (LoLT) transition. Most children receive mother-tongue instruction in Grades 1-3 but switch abruptly to English or Afrikaans as medium of instruction in Grade 4—a linguistic cliff that coincides precisely with the PIRLS assessment point (Pretorius and Spaull 2016; Spaull 2013). Children are suddenly expected to learn in a language they do not speak at home, compounding the pedagogical weaknesses already documented. In a country with eleven official languages, fewer than 10% of learners have English as a home language, yet English is the LoLT in over 80% of schools from Grade 4 onwards. The result is that the "reading for meaning" failure captured in PIRLS reflects not only weak foundational instruction but a systemic language barrier that converts manageable early-grade deficits into catastrophic comprehension failure. The Grade 4 transition is particularly devastating because it coincides with the pedagogical shift from "learning to read" to "reading to learn"—the moment when literacy becomes the medium through which all other subjects are accessed. A child who has acquired basic decoding in isiZulu or Sesotho must simultaneously master a new language and use that new language to absorb content in mathematics, natural science, and social studies (Pretorius and Spaull 2016). Pretorius and Spaull's research on reading fluency among English second-language learners found that most Grade 5 learners in Quintile 1-3 schools read English at speeds too slow to support comprehension, let alone content learning. The policy dilemma is genuine: parents overwhelmingly prefer English-medium instruction because English confers labour market advantages, yet the evidence suggests that premature switching to English undermines the foundational literacy on which all subsequent learning depends. Mother-tongue-based multilingual education—in which home language instruction continues through Grade 6 or beyond while English is progressively introduced—has shown promising results in pilot programmes, but scaling such models requires textbook development in multiple languages, bilingual teachers, and political will to resist parental demand for early English. ### The Teacher Crisis Teacher quality is the most important in-school determinant of learning, yet South Africa faces persistent weaknesses in teacher supply, preparation, and performance (Hanushek and Woessmann 2012; Taylor 2009). Teacher content knowledge is often weak: many mathematics teachers struggle with grade-level content, and English proficiency among teachers is uneven (Venkat and Spaull 2015). Initial teacher education quality also varies substantially (CHE 2010). Teacher absenteeism compounds the problem. Around 90% average attendance still implies significant annual learning-time loss (Chisholm et al. 2005). Even when present, instructional time is often used inefficiently (Taylor 2009). The South African Democratic Teachers Union (SADTU) wields considerable influence over education policy and management (Patillo 2012). While unions legitimately represent teacher interests, critics argue SADTU's influence has protected underperforming teachers, resisted accountability measures, and prioritised adult employment over learner outcomes (Centre for Development and Enterprise 2015b). The union's role in teacher appointments—sometimes alleged to involve improper influence—further complicates quality management (Ministerial Task Team 2016). Beyond instruction, the physical and social environment of majority-serving schools erodes human capital formation. Violence, bullying, substance abuse, and basic safety failures—including the persistent scandal of pit latrines in rural schools, which have claimed children's lives—are widespread in under-resourced schools (Burton and Leoschut 2013). These conditions depress teacher morale and retention while imposing chronic stress on learners that impairs cognitive development and attendance. A school that is physically unsafe cannot be pedagogically effective, regardless of curriculum design. ### School Safety and the Learning Environment The scale of violence in and around South African schools constitutes a distinct barrier to human capital formation that deserves separate treatment from the pedagogical failures discussed above. Burton and Leoschut's (2013) National School Violence Study found that 22.2% of secondary school learners had experienced threats of violence at school, while one in five reported sexual assault or harassment—figures that render the notion of a "safe learning environment" aspirational rather than descriptive for millions of children. Gang activity near township and rural schools disrupts attendance patterns, with learners in parts of the Cape Flats, Ekurhuleni, and northern KwaZulu-Natal reporting that they alter routes, skip school on days of known gang activity, or leave early to travel in groups (Burton and Leoschut 2013; Jewkes et al. 2009). The infrastructure dimension compounds the problem. Despite government commitments to eradicate pit latrines following the drowning deaths of children—including Michael Komape (age 5) in Limpopo in 2014 and Lumka Mketwa (age 5) in the Eastern Cape in 2018—the SAFE Initiative (Sanitation Appropriate for Education) has fallen short of its targets, and thousands of schools in the Eastern Cape, KwaZulu-Natal, and Limpopo still rely on unsafe sanitation facilities. These are not incidental failures; they are symptoms of a system in which the poorest schools, serving the most disadvantaged learners, receive the least functional infrastructure—a pattern that maps precisely onto apartheid geography. The psychological toll of chronic exposure to violence and unsafe conditions is substantial but largely unmeasured in the South African context. International evidence on adverse childhood experiences (ACEs) demonstrates that sustained stress and trauma impair executive function, reduce working memory, and undermine the self-regulation capacities essential for learning (Shonkoff and Phillips 2000). Children who arrive at school anxious about physical safety cannot engage in the sustained attention that literacy and numeracy acquisition demand. The overlap between school safety, spatial inequality (Chapter 10), and the learning crisis discussed above is not coincidental—it reflects the compounding of disadvantage across multiple dimensions in the same communities. ### Matric as Gatekeeper The National Senior Certificate (matric) examination is the primary gatekeeper between school and post-school opportunities (Department of Basic Education various years). Pass rates have risen substantially—from 61% in 2009 to 87.3% for the 2024 cohort—but this apparent progress masks concerning trends (Spaull 2013; Department of Basic Education various years). The "Bachelor pass" rate—qualifying for university admission—has risen from around 36% in the mid-2010s to 47.8% for the 2024 cohort (Department of Basic Education various years). This still means fewer than half of matriculants emerge eligible even to apply for university, and far fewer achieve results that would gain admission to competitive programmes. Mathematics and physical science passes, essential for many technical careers, remain particularly weak (Spaull 2015). Furthermore, pass rate improvements partly reflect grade progression policies that move learners through despite inadequate learning, and curriculum adjustments that may have reduced difficulty (Van der Berg et al. 2011). The proportion of learners who write matric relative to initial enrolments has not improved proportionally, suggesting many weak learners exit before reaching Grade 12 (Spaull 2013). *** ## IV. Post-School Education and Training ### The University Sector University enrolment expanded from under 500,000 to around 1.1 million since 1994 (Department of Higher Education and Training various years). The 26 public universities now span undergraduate to doctoral training, and several remain continental leaders in research output. Expansion has strained capacity and quality. Throughput is weak: only about 60% of entrants graduate, often after substantial delay (Van Broekhuizen et al. 2016). Causes include weak school preparation and constrained university support capacity (Scott et al. 2013).
Line chart of three financial flows for public higher education institutions in R billion at current prices, 2005 to 2024: government grants, other revenue (fees and similar) and staff costs. All three rise from about R10 to R15 billion in 2005; by 2024 other revenue reaches about R65 billion and staff costs about R58 billion, while government grants flatten after 2020 at about R46 billion.

Figure 9.2: The Funding Squeeze. Source: Stats SA P9103.1, Financial statistics of higher education institutions. Nominal flows, 2005–2024: government grants tracked other revenue and staff costs until about 2020, then flattened at roughly R46 billion while fee and other revenue (about R65 billion) and staff costs (about R58 billion) continued to rise.

Funding pressures intensified after #FeesMustFall (Habib 2019). Government grants to universities have grown more slowly than fee income and staff costs since 2020 (Figure 9.2), and per-student public funding has declined in real terms as enrolment expanded (Department of Higher Education and Training various years). NSFAS expansion improved tuition access for lower-income students, but non-tuition costs (housing, food, transport, books) remain binding and often push funded students into hardship (National Treasury Budget Review various years; National Student Financial Aid Scheme various years). The mismatch between graduate output and labour market demand persists (Kraak 2010). Humanities and social science graduates exceed demand, while STEM graduates remain scarce. Employer complaints about graduate quality suggest even degree-holders often lack workplace readiness. Professional bodies further constrain the supply pipeline. Organisations such as SAICA (accounting), ECSA (engineering), and the HPCSA (healthcare) control accreditation standards and professional entry requirements that act as supply-side bottlenecks, even for students who complete qualifying degrees. While these standards are essential for maintaining professional quality and public safety, they also limit the rate at which the education system can produce the technical professionals the economy desperately needs—a tension between quality assurance and the urgency of skills production that has no easy resolution. ### TVET: The Missing Middle Technical and Vocational Education and Training (TVET) colleges should provide the "missing middle" between school and university—practical skills for employment in technical and artisanal occupations (National Planning Commission 2012). The National Development Plan envisioned TVET enrolment growing from 700,000 to 2.5 million by 2030, recognising that not all young people need or want university education.
Line chart of headcount enrolment in thousands, 2010 to 2023, for universities and TVET colleges, with dashed NDP 2030 target lines at 1.6 million (universities) and 2.5 million (TVET). Universities rise from 984,000 to about 1.28 million; TVET colleges rise from 358,000 to a 2014 peak near 780,000, fall to 580,000 in 2020 and recover to 680,000 in 2023.

Figure 9.3: TVET's Underperformance. Source: DHET Statistics on Post-School Education and Training. As plotted, TVET headcount enrolment peaked around 2014, fell to 580,000 in 2020 and stood at 680,000 in 2023—barely a quarter of the NDP's 2.5 million target for 2030; university enrolment reached about 1.28 million against a 1.6 million target. Both series run above the DHET figures cited in the text (approximately 550,000 TVET students; around 1.1 million university students). Provisional chart: to be regenerated from DHET Statistics on Post-School Education and Training before publication.

Outcomes have fallen short (Department of Higher Education and Training various years; Botha and Havemann 2025). TVET enrolment reached approximately 550,000 but remains below targets, and throughput is very low (under 20% on-time completion). Employer linkages and workplace-based learning remain weak, limiting graduate employability (Kraak 2010; Wedekind 2016). Several factors explain TVET's underperformance (OECD 2014; World Bank 2018b): * **Curriculum-employer disconnect**: Programmes often reflect outdated curricula rather than current employer needs. Graduates emerge with credentials employers don't value. * **Lecturer quality**: Many TVET lecturers lack industry experience and current technical knowledge. * **Workplace learning scarcity**: Employers are reluctant to take on learners for workplace exposure, limiting practical skills development. * **Student selection**: TVET often receives students who have failed at other options rather than those with genuine technical aptitude. * **Status stigma**: TVET is perceived as second-rate compared to university, deterring capable students who might thrive in technical careers. **Concrete Curriculum Obsolescence Examples**: The disconnect between TVET training and workplace reality manifests in specific, documented failures: * *Automotive technology programmes* often train students on carburettor engines and basic electrical systems, while employers need diagnostics competence for electronic fuel injection, hybrid systems, and computer-controlled components. Employers report graduates unable to interpret the diagnostic codes that are fundamental to modern auto repair. * *Information technology programmes* at many colleges teach software versions that are several generations old, in computer labs with outdated hardware. Employers report graduates unfamiliar with cloud computing, contemporary programming frameworks, or current cybersecurity practices—the very fields where hiring demand is strongest. * *Electrical engineering* programmes may produce graduates certified for low-voltage installations who have never worked with the inverters, solar panels, or battery storage systems driving current demand. The renewable energy boom has created skills shortages that TVET should address but largely has not. * *Welding and boilermaking* programmes sometimes lack access to MIG/TIG welding equipment or modern materials, training students on techniques and materials that have limited contemporary application. These aren't minor gaps but fundamental mismatches between what students learn and what employers need. Addressing them requires not just curriculum updates but ongoing industry engagement, equipment investment, and lecturer upskilling—precisely the institutional capacities that underfunded, understaffed TVET colleges lack. ### Comparative Policy Box: Vietnam and India's TVET-Industry Partnerships Vietnam and India have achieved stronger TVET outcomes through deeper employer engagement: **Vietnam's "dual training" model**: Modelled on German apprenticeships, Vietnam's system requires employers to co-design curricula and provide workplace training. Large employers—Samsung, Intel, Toyota—operate dedicated training facilities that feed directly into their workforces. Government provides infrastructure; employers provide relevance. **India's Industrial Training Institutes (ITI) reforms**: Recent reforms link ITI funding to placement outcomes. Institutes must publish graduate employment rates. Industry partners provide equipment, curricula input, and often priority hiring. Poor-performing institutes face funding cuts. **Common elements**: * Employer involvement in curriculum design * Mandatory workplace-based learning components * Outcome-based funding (placement metrics matter) * Industry-provided equipment and guest instruction * Clear hiring pipelines from training to employment **Lessons for South Africa**: South Africa's TVET sector has attempted employer partnerships with limited success. The key insight is that employers must be partners rather than afterthoughts—involved from curriculum design through hiring. This requires changing TVET's incentive structure to prioritise graduate outcomes over enrolment numbers. ### Brain Drain and Skills Immigration South Africa loses scarce skills while struggling to attract replacements (Kaplan 2007; World Bank 2018b). Medical, engineering, IT, and academic professionals continue to emigrate to higher-opportunity destinations (Crush, Chikanda, and Pendleton 2015). An estimated 900,000 or more South Africans live abroad, disproportionately concentrated among the skilled professionals the economy can least afford to lose—doctors, engineers, IT specialists, and academics (Crush, Chikanda, and Pendleton 2015). Net brain drain accelerated after 2015 amid political uncertainty, the Zuma-era governance crisis, and load shedding, with the UK, Australia, Canada, and New Zealand as primary destinations. The medical brain drain is particularly perverse. South African-trained doctors are heavily recruited by the UK's National Health Service, Ireland, Australia, and Canada, creating what amounts to a training subsidy flowing from a middle-income country with acute physician shortages to wealthy nations with the fiscal capacity to train their own, the WHO's 2010 Global Code of Practice on international recruitment notwithstanding (Crush, Chikanda, and Pendleton 2015). South Africa spends approximately R2.5 million to train each doctor over six years; every emigrating physician represents a direct fiscal loss and a widening of the public-private health workforce gap documented in Section V. At the same time, skills immigration remains administratively difficult (Centre for Development and Enterprise 2010). Critical Skills Visa processing delays—often six to twelve months, with unpredictable outcomes—deter potential immigrants who could fill vacancies in engineering, medicine, and information technology (Centre for Development and Enterprise 2010). The paradox is stark: South Africa has the highest unemployment rate among major economies yet cannot fill specialised positions, a direct consequence of the education system's output mismatch documented throughout this chapter and in Chapter 8. A credible strategy requires both retention measures—competitive public-sector salaries, improved working conditions, reduced bureaucratic frustration—and a streamlined skills immigration system that treats scarce-skill recruitment as an economic priority rather than an administrative afterthought (National Planning Commission 2012; Centre for Development and Enterprise 2010). *** ## V. Health System Performance ### The Disease Burden Transition Disease burden shifted dramatically over three decades (Coovadia et al. 2009; Mayosi et al. 2012). Early post-apartheid trends towards non-communicable disease were disrupted by HIV/AIDS, which drove a severe mortality shock.
Two line panels from World Bank World Development Indicators, 1990 to 2023. Top: life expectancy at birth falls from about 62 years in the early 1990s to 53.9 years in 2005, recovers to 66.1 years by 2019, dips to about 62 in 2021 during COVID-19 and returns to about 66 in 2023; the 2003 ARV rollout and 2010 scale-up are marked. Bottom: under-5 mortality rises to 81 per 1,000 live births in 2004 then falls to 35 per 1,000 in 2023, above the SDG target of 25.

Figure 9.4: The Health Trajectory. Source: World Bank World Development Indicators. Life expectancy at birth fell from about 62 years (early 1990s) to 53.9 years (2005) at the height of HIV/AIDS mortality, recovered to 66.1 years by 2019, dipped in 2021 during COVID-19 and was back near 66 in 2023. Under-5 mortality peaked at 81 per 1,000 live births in 2004 and had fallen to 35 by 2023, still above the SDG target of 25.

Adult HIV prevalence rose to around 18%—among the highest globally (UNAIDS 2023). Before treatment scale-up, mortality was immense and life expectancy fell to 53 years by 2005 (Statistics South Africa, *Mid-Year Population Estimates* various years). Prime-age mortality imposed severe social and economic damage (Nattrass 2004). ART rollout—initially delayed but eventually scaled into the world's largest treatment programme—fundamentally changed outcomes (Nattrass 2008; Coovadia et al. 2009). Nearly 6 million people now receive ART, and life expectancy recovered to about 66 years (UNAIDS 2023; Statistics South Africa, *Mid-Year Population Estimates* various years). > **66 years** — South Africa's recovered life expectancy, up from just 53 years at the peak of HIV/AIDS mortality in 2005, thanks to the world's largest antiretroviral treatment programme. Yet HIV/AIDS remains significant. New infections continue—approximately 150,000 annually—particularly among young women (UNAIDS 2023). Treatment adherence is imperfect, and some patients fail therapy. TB remains closely linked to HIV, with South Africa accounting for significant shares of global TB cases (World Health Organization various years). At the same time, NCDs have surged: high obesity prevalence, rising diabetes, widespread uncontrolled hypertension, and major unmet mental-health burden (Bradshaw et al. 2019; Mayosi et al. 2012; Docrat et al. 2019b). The system now faces a quadruple burden: infectious disease, HIV/TB, NCDs, and injury/violence (Mayosi and Benatar 2014). COVID-19 added another layer. South Africa experienced multiple severe waves, with excess mortality estimates suggesting 300,000+ deaths—among the highest per capita globally (South African Medical Research Council 2022). The pandemic strained hospital capacity, disrupted routine care, and exacerbated mental health challenges. Long COVID now adds to the chronic disease burden. ### The Public-Private Divide South Africa's health system mirrors broader dualism: a high-resource private sector for a minority and a strained public sector for the majority (Coovadia et al. 2009; McIntyre and Ataguba 2011).
Stacked area chart of health expenditure as a percentage of GDP, 2000 to 2022, split into public and private (out-of-pocket plus insurance) sources. Total spending rises from 7.3 percent of GDP in 2000 to 7.8 percent in 2010 and 8.8 percent in 2022, with a COVID-19 spike in 2020; the public and private shares are each roughly half throughout.

Figure 9.5: The Health Divide. Source: World Bank WDI; WHO Global Health Expenditure Database. Total health spending rose from 7.3 percent of GDP (2000) to 8.8 percent (2022), split roughly equally between public and private sources. The private half serves the minority covered by medical schemes—about 16 percent of the population—while the public half must serve the remaining 84 percent (Council for Medical Schemes various years; National Treasury Budget Review various years).

Private healthcare, funded by medical schemes (covering approximately 9 million people), offers world-class care—state-of-the-art facilities, specialist access, short waiting times (Council for Medical Schemes various years). Spending per medical scheme beneficiary approaches R30,000 annually—comparable to developed country levels. Public healthcare serves over 50 million people at about R6,000 per capita (National Treasury Budget Review various years). This budget must cover the full care pyramid, and gaps appear in waiting times, staffing ratios, equipment reliability, and outcomes (Coovadia et al. 2009). The public-private divide reflects apartheid-era patterns but has deepened post-1994 (McIntyre and Ataguba 2011). Medical scheme coverage has remained stagnant while private costs have escalated. Public sector capacity has struggled to expand with demand. The brain drain of health professionals to private practice and emigration has depleted public sector skills (George et al. 2013). ### Workforce Challenges Health workforce shortages remain binding (George et al. 2013). South Africa has about 80 doctors per 100,000 people in aggregate, but distribution is severely skewed towards urban private practice; the public sector ratio is far below the ratios in upper-middle-income peers. Rural shortages are acute. Nursing numbers are more adequate in aggregate but face their own challenges: ageing workforce, training pipeline constraints, emigration, and maldistribution. Community health workers—a potentially crucial cadre for primary care—remain underutilised and inadequately integrated into the health system (Schneider et al. 2018). Training pipelines struggle to keep pace. Medical school capacity has expanded but remains insufficient. Many graduates emigrate or enter private practice (Crush, Chikanda, and Pendleton 2015). International health worker recruitment is complicated by ethical concerns about draining other countries' workforces—the subject of the WHO's 2010 Global Code of Practice—and by administrative barriers. ### Comparative Policy Box: Rwanda's Community Health Model Rwanda has achieved remarkable health improvements despite extremely limited resources through innovative use of community health workers (CHWs): **Scale and structure**: Over 45,000 CHWs—three per village—provide basic care, health education, and surveillance. They are community-elected volunteers receiving performance-based incentives rather than salaries. **Scope of practice**: CHWs treat common conditions (diarrhoea, malaria, pneumonia in children), provide family planning, support TB and HIV treatment adherence, and conduct maternal health follow-up. This extends primary care into communities. **Data systems**: Each CHW uses mobile phones to report health events in real-time. This creates continuous surveillance, enables rapid response to outbreaks, and tracks supply needs. **Results**: Under-5 mortality fell from around 180 per 1,000 in 2000 to under 40 per 1,000 by 2020. HIV treatment adherence exceeds 90%. Maternal mortality has declined substantially (Binagwaho et al. 2014). **Lessons for South Africa**: South Africa has community health workers but they are underutilised and fragmented across programmes. A more integrated model—community-based, linked to clinics, data-enabled—could extend care reach and address primary care bottlenecks. Ward-based primary healthcare outreach teams (WBPHCOTs) represent a step in this direction but implementation has been uneven. ### National Health Insurance: Promise and Controversy The National Health Insurance (NHI) initiative aims to achieve universal health coverage by creating a single payer that would purchase healthcare services for all South Africans (National Department of Health 2017). The NHI Fund would pool public and private funding, eliminating the two-tier system and ensuring access based on need rather than ability to pay. The vision is compelling: healthcare as a right, equitable access, risk pooling across the population (McIntyre and Ataguba 2011). International examples—from the UK's NHS to Taiwan's single-payer system—demonstrate that universal coverage is achievable (World Health Organization 2010). But implementation faces formidable challenges (National Department of Health 2017; International Monetary Fund various years): * **Fiscal space**: NHI would require substantial additional funding. Estimates suggest costs of R256-R450 billion annually at full implementation—a significant increase on current spending (National Department of Health 2017). With the fiscus already strained, where would resources come from? * **Public sector capacity**: NHI requires a functioning public health system to deliver expanded services. Current public sector challenges—infrastructure deficits, staff shortages, medicine stockouts—must be addressed before or alongside NHI rollout (Coovadia et al. 2009). * **Private sector transition**: Integrating private sector capacity—or managing its marginalisation—creates political and practical challenges. Medical scheme members fear losing access to current care. Private providers face uncertainty about their future role (Council for Medical Schemes various years). * **Governance**: The NHI Fund would control vast resources. South Africa's experience with large public funds—from SAA to VBS to COVID procurement—raises concerns about corruption, capture, and mismanagement (Zondo Commission 2022). The National Health Insurance Act 20 of 2023 (assented May 2024) establishes legal architecture but leaves major implementation design unresolved and immediately contested in court. Phasing is intended, but the transition pathway from fragmentation to unified coverage remains uncertain (Rispel 2016). Muller (2020a) offers a particularly sharp critique of the NHI's financing assumptions, arguing that projected costs underestimate the fiscal burden while overestimating the administrative capacity to manage a single-payer system in a context where the state struggles to deliver existing public health services effectively. The broader challenge is one of sequencing: institutional capacity, rather than legislative ambition, is the binding constraint. **Constitutional Challenges**: Multiple court challenges were filed within weeks of the Act's signing. Opposition parties, medical scheme administrators, and healthcare provider groups have challenged the legislation on various grounds: * *Freedom of access to healthcare*: Challengers argue that restricting the role of medical schemes and private healthcare violates constitutional rights to access healthcare services. The Constitution guarantees access "within available resources"—opponents argue limiting private options reduces available resources overall. * *Freedom of association*: The right to belong to medical schemes and pool risk with others of one's choosing may be infringed by mandatory NHI participation that marginalises voluntary insurance arrangements. * *Provincial powers*: Health is a concurrent national and provincial function. Critics argue the NHI Fund's centralised structure unconstitutionally diminishes provincial autonomy over healthcare delivery. * *Property rights*: Medical scheme members may argue that restrictions on scheme operation constitute regulatory taking of their accumulated reserves and benefits. * *Rationality review*: Given implementation capacity concerns, challengers may argue that the legislation's expected benefits cannot realistically be achieved, failing rationality requirements. The first material rulings arrived in May 2025, when a full bench of the Gauteng High Court in Pretoria held that the President's decision to sign the Act is judicially reviewable and ordered him to produce the record of that decision—an order against which the President sought leave to appeal directly to the Constitutional Court (Board of Healthcare Funders v President of the Republic of South Africa 2025). Constitutional Court proceedings could take several years. Meanwhile, implementation uncertainty deters investment and planning across the health sector. The legal cloud over NHI adds to the substantial practical challenges—a reform that was already ambitious faces the additional hurdle of surviving judicial review. Even if ultimately upheld, the legal process may delay meaningful implementation well into the 2030s, maintaining the two-tier system that NHI was designed to transcend. *** ## VI. Human Capital, Productivity, and Growth ### Returns to Education Education strongly shapes earnings (Keswell and Poswell 2004; Leibbrandt et al. 2010). Kohler (2025) finds tertiary returns rose sharply from 7.3% (2001) to 23% (2023), while returns to lower levels declined, creating a paradox of progress: more schooling but persistently extreme wage inequality. Graduate premiums remain large, but graduate unemployment has also risen materially (MacGinty and Whitelaw 2025), highlighting weaker school-to-work matching even at higher qualification levels. Yet returns vary with quality (Van der Berg 2008). A degree from a prestigious university opens different doors than one from a struggling institution. Employers discount credentials from unfamiliar institutions, particularly when combined with signals of weak preparation (Spaull 2015). The quality gap between school quintiles translates into wage gaps even among those with identical formal qualifications. The signalling-versus-skills debate matters for policy (Hanushek and Woessmann 2008). If education primarily signals inherent ability rather than building capability, expanding access without improving quality may devalue credentials without enhancing productivity. The evidence suggests both mechanisms operate: education both signals ability and builds skills, with quality determining the relative importance (Spaull 2013). ### Health and Labour Supply Health affects economic outcomes through multiple channels (Bloom and Canning 2000). Morbidity reduces work capacity—sick workers are less productive or absent entirely. HIV/AIDS mortality decimated the prime working-age population, destroying human capital that represented decades of investment (Nattrass 2004). Chronic disease burdens workers and their caregiving family members. The HIV/AIDS epidemic's economic impact was severe but complex (Arndt and Lewis 2000; Nattrass 2004). Mortality concentrated among productive workers and professionals. Households lost breadwinners and spent savings on healthcare and funerals. Children orphaned by AIDS faced educational and developmental disadvantages. Firms lost skilled workers and experienced disrupted succession. ART rollout reversed much of this damage by preserving lives and productivity (Coovadia et al. 2009). Workers on treatment can maintain near-normal productivity, and life expectancy recovery means fewer premature deaths destroying human capital investments. Yet health challenges continue to impose economic costs. Mental illness—largely untreated—reduces productivity and employment (Docrat et al. 2019a). Chronic disease management is costly and imperfect (Mayosi et al. 2012). The long-term effects of COVID-19 infection remain uncertain but potentially significant. Beyond mortality and absenteeism, a largely unmeasured human capital drain operates through "presenteeism"—workers who are physically present but functioning below capacity due to untreated mental health conditions and chronic NCDs such as diabetes and hypertension (Docrat et al. 2019a; Bradshaw et al. 2019). South Africa's mental health services are severely under-resourced, with fewer than one psychiatrist per 100,000 people in most provinces and negligible access to psychological services in primary care (Docrat et al. 2019b). The economic cost of presenteeism—reduced concentration, impaired decision-making, elevated error rates—is difficult to quantify but likely substantial in an economy where the formal workforce is already small and every employed worker's productivity carries disproportionate weight. The mental health burden is broader and deeper than presenteeism alone. The South African Stress and Health Study estimated that roughly one in six adults (16–17 percent) experience a diagnosable mental disorder in a given year—depression, anxiety, and post-traumatic stress disorder being the most prevalent—and Docrat et al. (2019b) find that the treatment gap exceeds 75 percent, meaning that three in four affected individuals receive no care at all. The public mental health system is severely underfunded, with mental health receiving less than 5 percent of the health budget despite contributing an estimated 12 percent of the disease burden (Docrat et al. 2019b). This forces most care onto primary health facilities that are already overburdened with HIV, TB, and NCD management, and ill-equipped to provide even basic psychological support. In middle-income countries generally, presenteeism and mental-health-related absenteeism impose productivity losses that are large relative to GDP, though estimates vary widely. The connection to unemployment is bidirectional and vicious: long-term unemployment is itself a well-documented mental health risk factor, producing depression, anxiety, and loss of self-efficacy that further reduce job-search intensity and employability. The discouraged work-seekers documented in Chapter 8—3.7 million adults who have stopped looking for work—are disproportionately likely to suffer from untreated mental health conditions that both result from and perpetuate their labour market exclusion. Substance abuse compounds the problem: South Africa has among the highest rates of alcohol-related harm globally, with the Western Cape's farming communities experiencing particularly devastating rates of foetal alcohol spectrum disorders—a direct intergenerational transmission of human capital damage from untreated addiction to impaired childhood cognitive development. The mental health crisis is not a separate problem from the economic crisis; it is the economic crisis experienced at the level of individual cognition and capacity. *** ## VII. From Diagnosis to Reform The preceding sections point to three reform fronts. In basic education the priority is quality rather than access: early-grade reading, curriculum coverage and teacher accountability, and safe, functioning school infrastructure (Spaull 2013; Fleisch 2008; Taylor 2009). In post-school education the priority is converting a supply-driven TVET system, organised around institutional convenience, into a demand-driven one shaped by employers—through outcome-based funding, apprenticeship scale-up and lecturers with current industry experience. In health the priority is primary care and prevention: integrating community health workers, managing chronic disease systematically, fixing medicine supply chains, and sequencing National Health Insurance so that public-sector capacity is built before coverage commitments are expanded (Coovadia et al. 2009; Mayosi and Benatar 2014; Rispel 2016). None of these is technically mysterious; the difficulty lies in implementation, incentives and political economy. The Policy Debates and Reform Frontiers section below therefore maps the live debates on each front, draws on international comparators, and sorts the reform options into those achievable within existing institutional capacity and those requiring transformative change. ### Comparative Policy Box: Kenya's Digital Credentials Kenya has piloted digital credential systems that could address some of South Africa's skills matching challenges: **Digital academic records**: Student performance data is captured digitally and stored in portable, verifiable formats. Employers can access records with student consent, reducing reliance on paper certificates that may be fraudulent. **Skills certifications**: Short courses and competency assessments can be recorded and verified digitally. This supports recognition of informal and non-formal learning. **Labour market matching**: Digital credentials feed into job-matching platforms, helping employers identify candidates with verified skills. **Lessons for South Africa**: South Africa's NLRD (National Learners' Records Database) provides some foundation, but accessibility and comprehensiveness remain limited. A more integrated digital credential infrastructure could improve skills matching and reduce credential fraud. Integration with the SA Youth platform could enhance job-matching for young workers. *** ## Policy Debates and Reform Frontiers The preceding sections documented what is broken. This section asks what can realistically be fixed, over what time horizon, and with what trade-offs. The debates play out in parliamentary committees, Treasury allocations, union negotiations, and courtrooms. The discussion below maps the intellectual terrain, draws on international comparisons, and distinguishes between reforms achievable within existing institutional capacity and those requiring transformative political commitment. ### The Current Debate Five overlapping policy debates define the human capital frontier. Each involves genuine disagreement among serious researchers and practitioners. **Education quality versus access.** South Africa has largely won the access battle—over 98% primary enrolment—but lost the quality war. The "learning crisis" framing, advanced most influentially by Nic Spaull at Stellenbosch University's ReSEP, holds that the binding failure is not children out of school but children learning almost nothing while in it (Spaull 2013; Spaull 2015). Stephen Taylor's work on curriculum coverage demonstrates that many teachers never reach core content, making learning gains structurally impossible (Taylor 2009). Gustafsson and Taylor's (2022) decomposition of PIRLS improvements between 2011 and 2016 identified structured learning programmes and teacher support as the drivers of gains that did occur—suggesting a feasible reform pathway. The counterargument from teacher unions and parts of the DBE is that quality improvements require sustained resource investment, not merely accountability regimes—that blaming teachers for systemic under-resourcing deflects from the state's own failures—a position SADTU has argued consistently. The unions are not wrong about resources, and Spaull is not wrong about accountability—which is what makes the debate productive rather than merely partisan. **NSFAS funding model.** NSFAS now funds over 700,000 students annually, the #FeesMustFall movement's most concrete achievement (Habib 2019). But expenditure has grown from R9 billion in 2015 to over R50 billion by 2024, straining the fiscus (National Treasury Budget Review various years). The "missing middle" in higher education funding—households earning R350,000–R600,000 who are above the NSFAS threshold but cannot afford fees—remains unresolved (Department of Higher Education and Training various years; see also Chapter 10 for the term's multiple South African uses). The Auditor-General has flagged irregular expenditure, payment delays, and verification failures (Auditor-General South Africa various years). Van der Berg and Van Broekhuizen have questioned whether subsidising attendance without improving throughput—only 60% of funded students ever graduate—represents efficient use of scarce resources (Van Broekhuizen et al. 2016). **NHI implementation.** The National Health Insurance Act 20 of 2023 (assented May 2024) created a legal framework for single-payer healthcare but left implementation details unresolved. The CDE has argued NHI is fiscally unaffordable and risks destroying a functioning private sector without building an alternative (CDE 2021). The Institute for Economic Justice defends NHI as necessary to close the 5:1 per-capita spending gap (IEJ 2022). The medical scheme industry—the Board of Healthcare Funders, Discovery—has challenged the legislation on constitutional grounds (Board of Healthcare Funders v President of the Republic of South Africa 2025). What unites critics across these different motivations is doubt about implementation capacity: as Rispel (2016) argues, building functioning clinics, recruiting adequate health workers, and establishing reliable supply chains is a prerequisite, not a consequence, of legislative reform. **SETA reform.** Botha and Havemann's (2025) ERSA review found the SETA system "inefficient and ineffective despite good intentions," with disproportionate administrative spending and weak linkages between levy expenditure and skills outcomes. Critics argue the problem is structural: SETAs are simultaneously regulators, funders, and implementers, creating irresolvable conflicts of interest (Botha and Havemann 2025). The debate is whether to reform incrementally or replace SETAs with a demand-led system offering employers direct incentives—expanded tax deductions, wage subsidies for trainees—rather than channelling funds through intermediary bureaucracies. **Teacher quality and accountability.** SADTU, with over 260,000 members, exercises substantial influence over teacher appointments and accountability (Patillo 2012; Ministerial Task Team 2016). Critics argue the union has prioritised adult employment over learner outcomes and resisted performance evaluation (Centre for Development and Enterprise 2015b; Spaull 2013). Richard Elmore's "instructional core" framework—student learning improves only when interactions among teacher, student, and content change—has been applied by Taylor to argue that no amount of policy pronouncement matters if classroom instruction remains unchanged (Elmore 2004; Taylor 2009). The professionalisation debate asks whether teaching should adopt the accountability mechanisms of other professions or whether such measures would further demoralise an overburdened workforce. There are no villains here, only a genuinely difficult institutional problem: how to raise standards without destroying morale in a profession asked to compensate for every other social failure. ### International Lessons International comparisons illuminate possibilities without providing blueprints. Each case offers partial insights; none can be transplanted wholesale. **Finland's comprehensive education model** is frequently invoked and easily misread. Finnish teachers are drawn from the top decile of graduates; teaching is among the most prestigious professions; initial training is a rigorous five-year research degree (Sahlberg 2015). South Africa cannot replicate this quickly—the profession's status and compensation do not attract top talent. What is transferable is Finland's emphasis on equity as a systemic goal and on supporting struggling students early rather than sorting them through high-stakes testing. The Finnish approach to curriculum—fewer subjects, greater depth—resonates with Taylor's (2009) findings about coverage failures in South African classrooms. **Cuba's medical training pipeline** is relevant to NHI's staffing challenge. Cuba produces approximately 10,000 doctors per year for 11 million people, deploying over 30,000 health workers internationally (Kirk and Erisman 2009). It integrates medical education with primary care from year one and treats health worker production as a strategic priority rather than a market outcome (Feinsilver 2010). The political conditions are radically different—authoritarian, centrally directed—and physician emigration, when permitted, is substantial. But the core insight—that mass production of primary-care-oriented health workers is possible at middle-income resource levels—speaks directly to South Africa's workforce deficit. **Singapore's SkillsFuture** provides every citizen aged 25+ with training credits for approved courses, complemented by Industry Transformation Maps that direct public investment towards sector-specific skills needs (Ministry of Education Singapore 2023). Singapore's exceptional state capacity makes direct replication unrealistic for South Africa. But the underlying principle—giving workers direct agency over their own skills development while using industrial policy to signal demand—offers a useful model for SETA reform, perhaps channelled through the existing tax incentive system rather than new bureaucracy. **Brazil's Bolsa Família** conditions cash transfers on school attendance (85% minimum) and health clinic visits; evaluations show significant effects on enrolment, with more modest learning impacts (Fiszbein and Schady 2009; Glewwe and Kassouf 2012). For South Africa the education-specific lesson is double-edged: the unconditional Child Support Grant already improves attendance without conditions, and conditionality risks punishing the poorest families for state service delivery failures—penalising a mother whose child misses school because the clinic queue took all day (Plagerson and Ulriksen 2016). The programme's full design and social-protection record are examined in Chapter 10. ### Reform Tiers: Achievable and Transformative A useful distinction separates reforms achievable within existing capacity (Tier 1) from those requiring transformative institutional change (Tier 2). This is an analytical distinction, not advocacy; Tier 1 reforms are not necessarily superior, merely more feasible in the near term. **Tier 1—The Achievable Agenda** *Reading-for-meaning by Grade 3.* Structured learning programmes—scripted lesson plans, graded readers, formative assessment, targeted teacher training—have demonstrated significant gains in South African evaluations. The Gauteng PSRIP and the Early Grade Reading Study provide evidence these interventions work within the existing system at manageable cost (Taylor et al. 2017; Fleisch and Schoer 2014). National scale-up requires political will and sustained funding, not new institutions. *TVET college-industry partnerships with guaranteed placements.* Intensive partnerships between specific colleges and major employers—with co-designed curricula, workplace learning, and hiring commitments—are more achievable than system-wide TVET reform (OECD 2014). Sector Master Plans could incorporate such partnerships as conditions for public support. *NHI phased implementation starting with primary care.* A phased rollout beginning with district health services—including contracting private GPs in underserved areas, already piloted in NHI demonstration districts—would build capacity step by step (Rispel 2016; McIntyre and Ataguba 2011). Sachs, Abdullah, Madonko, et al. (2023) argue the fiscal path demands doing fewer things well rather than promising everything. *NSFAS reform with income-contingent repayment.* Australia's HECS model—no upfront fees, repayment through the tax system once income exceeds a threshold—is self-sustaining and eliminates financial barriers without the debt trap of commercial loans (Chapman 2006). SARS has the administrative capacity. The political challenge is that #FeesMustFall framed free education as a right, making any repayment contentious—but unsustainable NSFAS growth is worse (Van Broekhuizen et al. 2016). *Community health worker programme expansion.* Expanding WBPHCOTs to all wards with standardised training, digital reporting, and clinic integration would extend primary care reach at modest cost. South Africa's estimated 70,000 CHWs could grow towards 100,000—addressing unemployment and health workforce gaps in one stroke (Schneider et al. 2018; Binagwaho et al. 2014). *Curriculum coverage, teacher accountability and safe schools.* Alongside early-grade reading, functioning school management that addresses teacher absenteeism and ensures the curriculum is actually covered—pacing guides, regular assessment, catch-up interventions—requires no new institutions (Taylor 2009; Chisholm et al. 2005; Hanushek and Woessmann 2012). The same is true of eliminating the remaining backlog of schools without water, electricity or safe sanitation, a capital programme whose cost is modest beside the human cost of its absence. *Outcome-based TVET funding and lecturer industry currency.* TVET colleges are currently funded on enrolment rather than completion or employment, which rewards registration regardless of whether students finish or find work. Making a portion of each college's allocation depend on certification rates and graduate employment within twelve months would align institutional incentives with student outcomes, with adjustment funding for colleges serving harder-to-reach populations. A mandatory industry rotation for lecturers—four to six weeks of workplace placement every three years, funded from existing SETA budgets—would update skills and build college-employer relationships; the Centres of Specialisation programme has piloted the approach, though coverage remains limited (Department of Higher Education and Training various years). *Apprenticeship scale-up.* South Africa produces approximately 25,000 artisan qualifications a year, below the NDP target of 30,000 and well below the 50,000 or more that economic modelling suggests the economy requires (Department of Higher Education and Training various years). A streamlined apprenticeship framework—simplified contracts, less paperwork, shared training costs through levy-grant mechanisms—could expand the pipeline, with construction, renewable energy and digital sectors the most promising near-term opportunities. *Medicine supply-chain reform.* Stockouts in public clinics reflect procurement and logistics failures more than funding constraints (Auditor-General South Africa various years). Better forecasting, distribution and accountability could improve availability without major cost increases, and task-shifting chronic-disease management to nurses and CHWs can extend clinic capacity (Mayosi et al. 2012). **Tier 2—The Transformative Agenda** *Universal ECD (0–5) as a constitutional right*—with full public provision reaching all children, not the current 40%—would require R30–50 billion in additional annual spending and a professional workforce of several hundred thousand. Long-run returns are well-documented, but the fiscal and institutional demands are enormous (Heckman 2006; Heckman et al. 2010). *Free higher education funded by a graduate tax* would distribute costs to beneficiaries while eliminating upfront barriers (Barr 2004). But the revenue stream would take years to mature, and political resistance from current graduates would be fierce. *NHI as single-payer with mandatory participation*—no opt-out to private insurance—requires resolving constitutional challenges, building administrative capacity that does not yet exist, and managing the resistance of 9 million medical scheme members (CDE 2021; IEJ 2022). This is a generational project. But permanent health dualism is difficult to defend on any plausible theory of justice. *Cuban-style CHW deployment at massive scale (100,000+)*—trained health workers in every neighbourhood, integrated with referral networks and digital health records—would transform rural and peri-urban primary care and create significant employment (Kirk and Erisman 2009; Schneider et al. 2018). The constraint is institutional: training and supervising a workforce at this scale requires management capacity the health system currently lacks. *Complete restructuring of teacher education*—a five-year professional degree with clinical residency, competitive admission, bursaries for top candidates, and starting salaries sufficient to attract talent—may be the reform that matters most and can be rushed least (Sahlberg 2015; Darling-Hammond 2017). Its effects would take 15–20 years to reach scale as new graduates replaced the existing workforce through attrition. ### Evidence from Parliamentary Oversight The Budgetary Review and Recommendation Reports (BRRRs) of parliamentary portfolio committees—examined in full as an oversight instrument in Chapter 3—tell a consistent story in the education and health portfolios. Year after year, the Portfolio Committees on Higher Education and on Health flag the same failures: NSFAS students approved but unpaid for months amid a persistently qualified audit opinion, TVET colleges under administration with lecturer vacancies unfilled for years and outdated equipment, recurring teacher absenteeism and textbook-delivery failures, and NHI pilot districts with infrastructure behind schedule, staff vacancies, and medicine stockouts (Parliamentary Monitoring Group various years; Department of Higher Education and Training various years). What this record shows is not primarily corruption—though corruption exists—but the chronic difficulty of translating national policy into classroom-level and clinic-level change, suggesting that the binding constraint on human capital reform may be less about choosing the right policies than about building the state capacity to execute them (Andrews et al. 2017). ### Binding Constraints Connection **Human capital deficits** are a binding constraint in their own right and a multiplier of every other constraint. The **energy crisis** (Chapter 3) undermined education directly: schools without reliable electricity could not use computers, science laboratories require power, and students in load-shedding-affected areas could not study after dark. Following the end of load shedding by mid-2025, the cumulative learning debt it inflicted—particularly on the "COVID-and-blackout generation" in under-resourced schools—is not easily reversed. **State capacity erosion** (Chapter 3) manifests in the education and health sectors through dysfunctional provincial departments, absent teachers, non-functional clinics, and procurement failures that leave schools without textbooks. **Labour market dysfunction** (Chapter 8) creates a vicious cycle: poor education produces unemployable graduates, and mass unemployment reduces the returns to education that would incentivise household investment in schooling—Kohler (2025) documents the paradox of rising education levels coexisting with stagnant or declining returns at lower levels of education, though tertiary returns rose. The **investment collapse** reduces employer demand for the skills that education produces, weakening the labour market signals that should guide curriculum reform. And the **logistics breakdown** (Chapter 3) constrains rural development that could improve conditions in the schools serving the most disadvantaged communities. Breaking the human capital constraint is a generational project (a child entering Grade 1 today will enter the labour market in 2040) but without sustained progress on education and health, no other reform will deliver what it promises. *** ## VIII. Conclusion: Human Capital for Inclusive Growth Human-capital deficits are a binding development constraint (National Planning Commission 2012; World Bank 2018b). Without major gains in education quality and health outcomes, South Africa cannot sustain broad-based productivity growth or inclusive labour participation. Dual systems—excellence for some, dysfunction for most—continue to reproduce inequality (Spaull 2013; Coovadia et al. 2009). Life chances remain heavily shaped by school and clinic quality linked to location and income. Reform therefore requires sustained political commitment, institutional execution, and adequate resources (Seekings and Nattrass 2005). These themes connect directly to other chapters. Unemployment (Chapter 8) cannot fall without employable graduates (Banerjee et al. 2008); industrial policy (Chapter 6) cannot succeed without skilled workers (Amsden 2001). Inequality (Chapter 10) both reflects and perpetuates unequal human capital development (Leibbrandt et al. 2010), while infrastructure constraints (Chapter 3) limit school and clinic functionality. Human-capital investments mature over decades, not election cycles (Heckman 2006). Decisions on early literacy, teacher quality, and TVET design today shape labour-market productivity into the 2040s. That long horizon makes sustained commitment essential and politically difficult. The alternative—continued human capital stagnation—consigns South Africa to the middle-income trap: unable to compete with low-wage economies on cost, unable to compete with developed economies on skills, stuck in between with mass unemployment and low growth (National Planning Commission 2012). *** {% hint style="success" %} **Key Takeaways** 1. South Africa's education system operates as two parallel systems: well-functioning schools serving a minority produce world-class outcomes, while dysfunctional schools serving the majority leave 81% of Grade 4 learners unable to read for meaning; on the World Bank's learning-adjusted measure, 10.2 expected years of schooling are worth only about 5.6 years of learning. 2. The TVET sector has failed to become the "missing middle" it was designed to be, with fewer than 20% of students completing qualifications in minimum time and weak employer linkages limiting graduate employment. 3. Life expectancy collapsed from 62 years (1992) to 53 years (2005) due to HIV/AIDS, then recovered to 66 years following the world's largest antiretroviral rollout, though the epidemic continues with approximately 150,000 new infections annually. 4. Health spending is split nearly 50/50 between public and private sectors serving 84% and 16% of the population respectively, creating a 5:1 per-capita spending gap that mirrors broader inequality. 5. The National Health Insurance Act 20 of 2023 (assented May 2024) faces significant implementation challenges including fiscal constraints, public sector capacity limitations, and constitutional challenges, leaving the path to universal coverage uncertain. {% endhint %} *** ## Discussion Questions 1. **The reading crisis**: Eighty-one percent of Grade 4 learners cannot read for meaning. What interventions could most effectively address this crisis? What obstacles prevent implementation of evidence-based reading instruction? 2. **TVET reform**: Why has South Africa's TVET sector failed to produce graduates that employers want to hire? What would a successful TVET system look like, and how might South Africa get there? 3. **Public-private health divide**: Is it equitable that 16% of the population receives 50% of health spending? Should policy aim to reduce private healthcare access, improve public healthcare, or some combination? What are the trade-offs? 4. **NHI implementation**: The NHI Act is now law, but implementation challenges loom. What sequencing of reforms would maximise success chances? What risks does NHI face, and how might they be mitigated? 5. **Brain drain**: South Africa loses many skilled professionals to emigration while struggling to attract foreign skills. What policies could improve retention and attraction? What are the limits of immigration as a skills strategy? **Exercises** 1. **Education Spending Per Learner**: South Africa spends approximately 6.5% of GDP on education (roughly R460 billion in 2024). Basic education serves approximately 13 million learners and the post-school sector approximately 1.8 million students. (a) If 78% of the education budget goes to basic education and 22% to post-school, calculate average per-learner spending in basic education and per-student spending in post-school. (b) Now disaggregate what an individual learner actually receives, using three components: (i) state-paid personnel spending (teacher salaries) of roughly R20,000 per learner, approximately equal across quintiles; (ii) the non-personnel norms-and-standards allocation, approximately R1,670 per learner in Quintiles 1–3 and approximately R290 in Quintile 5 (2024/25, per the DBE's national norms); and (iii) school fees, nil in Quintile 1 (no-fee schools) and averaging roughly R25,000 in Quintile 5 (illustrative). Calculate total per-learner resources for a Quintile 1 learner and a Quintile 5 learner, and the ratio between them. (c) Is the *state* component pro-poor? By roughly what percentage? (d) The system average from (a) exceeds the sum of the personnel and norms components; what does the difference represent (infrastructure, district administration, school nutrition, learner transport and other programmes not allocated per learner)? (e) Compare the total resource ratio with the roughly 5:1 public–private per-capita health spending gap in Section V. What do the two gaps together suggest about equality of opportunity, and why is the education gap driven by private fees rather than by state allocations? 2. **Health Workforce Ratios**: South Africa has approximately 80 doctors per 100,000 population (total population 63 million), but distribution is highly unequal: the private sector employs roughly 70% of doctors to serve 16% of the population (approximately 10 million), while the public sector employs 30% to serve 84% (approximately 52 million). Calculate the doctor-to-population ratio in each sector. Compare the public sector ratio to a commonly used benchmark of 100 doctors per 100,000 people. How many additional doctors would the public sector need to reach this benchmark? If training a doctor costs approximately R2.5 million over 6 years and current medical school output is 2,000 graduates per year (of whom 40% enter the public sector), how many years would it take to close the gap, assuming no emigration or retirement? 3. **NHI Financing**: NHI is estimated to cost R256-R450 billion annually at full implementation. Current total health expenditure is approximately R600 billion (split roughly 50/50 between public and private). If NHI aims to provide the current private-sector level of per-capita spending (R30,000) to the entire population of 63 million, calculate the total cost. Subtract current public health spending (R300 billion) to estimate the additional funding required. If this gap were funded through a dedicated payroll tax, what percentage of the total formal-sector wage bill (approximately R2.5 trillion) would be required? Assess the feasibility of this tax given South Africa's existing tax burden of approximately 25% of GDP, and discuss alternative financing mechanisms. 4. **Returns to a University Degree**: A matriculant who enters the labour market directly earns approximately R7,000 per month (R84,000 per year); a university graduate earns approximately R20,000 per month (R240,000 per year). A four-year degree costs the student approximately R50,000 per year in tuition plus R84,000 per year in foregone matric-level earnings. (a) Calculate the total private cost of the degree. (b) Calculate the annual earnings differential after graduation and the simple payback period. (c) Approximate the annual rate of return over a 40-year working life, first using the simple ratio of the annual differential to the total cost, then—if you have a spreadsheet—as the internal rate of return on a stream of four years of net outlays followed by forty years of net gains. (d) The state subsidises university study at approximately R56,000 per student per year (the post-school figure from Exercise 1). Add this to the private cost to obtain the *social* cost of the degree, and recompute the payback period and the approximate return. Why is the social return lower than the private return? (e) Now suppose NSFAS covers the student's tuition and living costs in full. What happens to that student's private cost and private return? (f) Given the gap between private and social returns, who should pay for higher education, and what does your answer imply for the NSFAS debate over free provision versus income-contingent repayment (see the Reform Tiers section)? *** ## IX. Further Reading **Education**: * Ben Bohmer and Gabrielle Wills, "COVID-19 Learning Losses: Evidence from PIRLS 2016 and 2021," ReSEP Working Paper (2023) — Detailed evidence on pandemic-era reading losses. * Martin Gustafsson and Kholosa Nonkenge, "Basic Education Policy in South Africa: From 1994 to Now," ERSA Policy Paper 33 (2025) — Reviews education policies with focus on early-grade learning. * Martin Gustafsson and Stephen Taylor, "What Lies Behind South Africa's Improvements in PIRLS?" Stellenbosch Working Paper (2022) — Oaxaca-Blinder decomposition of PIRLS improvements between 2011 and 2016. * Heleen Hofmeyr and Gabrielle Wills, "Does Teacher Job Satisfaction and Stress Mediate the Relationship between Accountability and Student Achievement?" Stellenbosch Working Paper (2025) * Timothy Kohler, "How Have the Returns to Education Evolved in Post-Apartheid South Africa?" Econ3x3 (2025) — Returns to tertiary education tripled from 7.3% to 23% between 2001 and 2023. * Hannah MacGinty and Elna Whitelaw, "Degrees of Uncertainty: What Is Happening to Graduate Unemployment?" Econ3x3 (2025) — Graduate unemployment doubled from 5.8% to 11.8%. * Spaull, N. "South Africa's Education Crisis" (2013) **TVET and Skills Development**: * Robert Botha and Roy Havemann, "Time to Rethink Skills Development: An Independent Review of the SETA System," ERSA Policy Paper 42 (2025) — Finds the SETA system inefficient and proposes fundamental reform. * Nicola Branson, Vimal Ranchhod, and Elna Whitelaw, "South African Student Retention during 2020," SALDRU Working Papers 300-301 (2023) — Evidence on COVID-era student retention and learning losses at university level. * DHET, Statistics on Post-School Education and Training **Health**: * Coovadia, H. et al. "The Health and Health System of South Africa" *The Lancet* (2009) * Mayosi, B. et al. "Health in South Africa: Changes and Challenges Since 2009" *The Lancet* (2012) * National Health Insurance Act 20 of 2023 (assented May 2024) and accompanying policy documents * Michael Sachs, Fareed Abdullah, Thokozile Madonko et al., "Financial Directions and Budget Trends in Government Healthcare," SCIS Working Paper 62 (2023) — Fiscal trajectory of public healthcare spending and its implications for NHI. **Comparative Cases**: * Kenya Digital Literacy Programme assessments * Rwanda Community Health Worker Programme documentation * Vietnam TVET Development Strategy evaluations *** ◀️ [Chapter 8: The Labour Market Crisis](/textbooks/the-south-african-economy/part-iii-people/chapter-8.md)[Chapter 10: Inequality, Poverty & Social Protection](/textbooks/the-south-african-economy/part-iii-people/chapter-10.md) ▶️