Economic development is rarely just 'doing more of the same thing better' — it's mostly about WHAT you do shifting. Subsistence agriculture gives way to commercial agriculture; agriculture gives way to manufacturing; manufacturing gives way to services. This sectoral reallocation IS structural transformation, and its pattern is the strongest predictor of long-run growth performance after factor accumulation.
What structural transformation is
The classical pattern (Kuznets 1957; Chenery and Syrquin 1975) describes a country's economic structure as it grows:
- Agriculture's share of employment and GDP falls (from 60-80% at low income to <5% at high income)
- Manufacturing's share rises, peaks around middle income (typically 20-35% of GDP), then declines
- Services' share rises throughout, dominating at high income (60-80% of GDP)
- Within each sector, productivity rises — but the cross-sector reallocation contributes a substantial share of aggregate productivity growth in itself
The Lewis dual-economy model
W. Arthur Lewis (1954, Manchester School): a low-income economy has two sectors:
- Traditional sector — subsistence agriculture, characterised by SURPLUS LABOUR. The marginal product of labour is essentially zero (you can remove a worker without reducing output). Wages are set by 'institutional' or subsistence norms, not by productivity
- Modern sector — capitalist, profit-maximising, characterised by productive labour. Wages are higher than the subsistence sector but only by enough to attract workers — typically the subsistence wage plus a modest premium
Growth proceeds by labour migrating from traditional to modern. Because the marginal product in traditional is near-zero, this migration costs nothing in terms of traditional-sector output but adds substantially to modern-sector output. The modern sector's profits are reinvested, expanding it further, drawing more labour. Continues until the surplus labour is exhausted — the 'Lewis turning point' — at which point further modern-sector expansion requires higher wages, profits compress, and growth slows.
The Lewis insight that still matters
The Lewis model captures a structural fact about low-income economies: aggregate productivity gains can come from reallocation, not just from each sector becoming more productive. McMillan and Rodrik (2011) updated this — finding that in most successful developing economies, structural change (reallocation across sectors) contributes 1-2% per year to productivity growth, comparable to within-sector productivity gains. In some unsuccessful cases (much of Africa post-1990), structural change has been NEGATIVE — labour moving from higher- to lower-productivity sectors.
Negative structural transformation in Africa
McMillan-Rodrik-Verduzco-Gallo (2014) showed that during 1990-2010, much of sub-Saharan Africa experienced labour reallocation in the WRONG direction: from manufacturing to lower-productivity services (informal trade, retail, transport). The within-sector productivity gains in manufacturing were eaten by the loss of relative-employment share.
- Ethiopia 2005-2010: positive structural transformation (labour moving to higher-productivity sectors)
- Tanzania 2002-2014: weakly positive
- Nigeria 1991-2005: negative — manufacturing share fell, agriculture share fell, low-productivity services share rose
- Ghana 1991-2004: negative
- Kenya 2010-2020: weakly positive recently, after a long stretch of weak performance
Premature deindustrialisation
Dani Rodrik (2016, Journal of Economic Growth): African countries are deindustrialising at much lower per-capita income levels than the historical pattern. UK manufacturing peaked at 35% of GDP around per-capita income of $14,000 (in 2005 PPP dollars). South Korea peaked at ~30% around $12,000. African countries (where measurable) are deindustrialising at per-capita incomes of $1,500-3,000 — manufacturing shares peaking at 10-15% and declining without ever reaching the level industrialised economies passed through.
Why premature deindustrialisation matters
Manufacturing has historically been the high-productivity, tradeable-good, learning-rich sector — the escalator from low-income to middle-income status. If African economies can't generate a strong manufacturing sector, the conventional path to middle-income status is closed. The alternatives: • Services-led development — feasible for some economies (Mauritius offshore-finance; Kenya/Rwanda business-process outsourcing; broader ICT services) but the question is whether services can substitute for manufacturing's role as a structural-transformation engine at scale • Resource-led development — historically thin record (the resource curse, covered in the Macro course); Botswana is the major exception • Agricultural transformation — moving from subsistence to commercial agriculture (Ethiopia coffee, Kenya horticulture, Côte d'Ivoire cocoa). Productive but employment is bounded — agriculture has a structural ceiling on its labour share The consensus view: African economies need a mix of all three (manufacturing where viable, services-led growth where possible, agricultural commercialisation) rather than the conventional manufacturing-first path. The industrial-policy debate (next module) is about which sectors to back and how
Causes of premature deindustrialisation
- Globalisation and global value chains. Manufacturing has fragmented globally; specific tasks (textile assembly, electronics assembly) are concentrated in low-cost locations. African economies didn't catch the manufacturing migration wave that took East Asia from rice paddies to factory floors in 1960-1990
- Trade liberalisation. AfCFTA and WTO commitments removed protection from infant industries; African manufacturers faced direct competition from China, India, Vietnam, Bangladesh
- Resource and currency channels. Resource booms (oil, minerals) appreciate the currency, hurting non-resource tradeable manufacturing (Dutch disease)
- Energy costs and infrastructure. African manufacturers face 2-5× the electricity costs of Asian competitors, and weaker logistics. Both are structural cost disadvantages
- Skills supply. Manufacturing requires concentrations of mid-skill workers (technicians, line supervisors). African education systems have invested in primary education and university but the technical-vocational middle tier is thin
Services-led structural transformation
Eichengreen and Gupta (2013): some services CAN substitute for manufacturing as a structural-transformation engine — specifically, tradeable services with high productivity and economies of scale. Examples:
- ICT services — software, BPO, IT-enabled services. Bangalore, Cebu, Nairobi (Konza) as exemplars
- Financial services — Mauritius offshore finance, Nairobi as East Africa's financial hub, Lagos for West African financial markets
- Tourism — Kenya, Morocco, Egypt, South Africa. Lower productivity ceiling than ICT/finance but accessible
- Education and health exports — Mauritius for African students seeking tertiary education in English; some emerging Kenyan and Ghanaian roles in this niche
The challenge: tradeable high-productivity services employ a much smaller share of the labour force than manufacturing did at comparable stages. Services-led development can grow GDP but may not absorb the labour-force bulge that African demographics is producing. This is the structural-transformation employment puzzle.
Agricultural transformation
Most African workers are in agriculture. Productivity in African agriculture is 30-50% of Asian agriculture and 5-15% of OECD agriculture. Closing the gap is the largest single productivity opportunity available — and it directly affects the largest population.
- Yield improvement — fertilizer access, improved seeds, irrigation. Ethiopian per-hectare cereal yields rose 50% over 2005-2020 from a low base, driven by fertilizer subsidies and extension. Kenyan tea and horticulture are productivity benchmarks
- Commercialisation — moving from subsistence to commercial production. Requires roads (to get product to markets), aggregation infrastructure (cooperatives, warehouse-receipt systems), and credit (for inputs). Ghana cocoa and Côte d'Ivoire cashew sectors show what scaled commercialisation looks like
- Value-chain integration — moving up from raw-commodity export to processed-product export. Ethiopian coffee retains modest in-country processing share; Kenyan horticulture has built strong value-chain capability. Most African commodities export raw and capture less of the value
Exercise
Kenya's structural transformation 2010-2024: agriculture's share of GDP fell from 26% to 22%; manufacturing's share has been flat at ~10%; services share rose from 50% to ~58%. Within services, the biggest gains have been in 'wholesale and retail trade' (informal) and 'transport and storage'. Manufacturing employment as a share of total employment is about 7%. (1) Apply the McMillan-Rodrik framework: is Kenya undergoing positive or negative structural transformation? (2) Apply the Rodrik premature-deindustrialisation framework: is Kenya deindustrialising prematurely? (3) Propose a structural-transformation strategy for Kenya for 2024-2034. (4) What policy levers are available and which actors implement them?