Structural transformation: the textbook pattern and India's peculiar path to 1990

Detail

1. What "structural transformation" means

• Structural transformation is the shift of output and jobs from agriculture to industry, and then to services, as a country develops.
• It is measured in two ways. Always check both:
• Output share: a sector's share in GDP or GVA (gross value added, which is the value of output minus the value of inputs used up).

• Employment share: a sector's share in total workers. This is the occupational structure, meaning how workers are spread across sectors.

• Formula:

• Sector share (%) = (Sector's GDP or GVA ÷ Total GDP or GVA) × 100

• Workforce share (%) = (Workers in the sector ÷ Total workers) × 100

• Worked example: Total GDP = ₹100 crore and agriculture = ₹35 crore. So agriculture's GDP share = 35%. If agriculture also holds 67 of every 100 workers, its workforce share = 67%. That gap is the sign of a problem, as shown in the sections below.

• Three sectors (the NCERT classification):
• Primary: uses natural resources directly. Examples: farming, dairy, fishing, forestry, mining.
• Secondary: changes natural products into other forms through manufacturing. Also called the industrial sector.
• Tertiary: activities that help the other two sectors, such as transport, storage, banking, trade and communication. Also called the service sector.

2. The developed-country sequence (Class 10, "Historical Change in Sectors")

1. Early stage: - The primary sector is the biggest in both production and employment.

2. Farm surplus stage: - Better farming methods produce more food than before. - Fewer people are needed on farms. The people who are freed can work as craftspersons, traders, transporters, administrators and soldiers. - Most goods are still natural products, and most people still farm.

3. Industrial stage (over 100+ years): - New ways of manufacturing bring factories. - Farm workers move into factories. They were often "forced" to move (see the NCERT history chapters on industrialisation). - The secondary sector becomes the largest in both output and jobs.

4. Service stage (last 100 years): - The tertiary sector becomes the largest in output. - Most workers are in services too.

• Key point: in this sequence, output and jobs move together. When a sector's GDP share rises, its job share also rises.

3. Theories behind the pattern (Beyond NCERT)

• Fisher-Clark three-sector hypothesis:
• Named after A.G.B. Fisher and Colin Clark.

• As incomes rise, labour and output move from the primary sector to the secondary sector and then to the tertiary sector.

• Dual economy:

• Here a modern sector exists side by side with a traditional sector.
• The modern sector is capital-intensive (it uses many machines) and highly productive.

• The traditional sector is farming or informal work with low productivity.

• Lewis model (1954):

• Farms have surplus labour, meaning workers who can leave without reducing farm output.
• These workers move to the modern sector. Growth continues until the surplus is used up.

• Full treatment is in growth-theories-business-cycles.

• Disguised unemployment:

• More people work on a farm than are actually needed. If some leave, output does not fall.
• Class 10 example: a family of 5 works on a plot that needs only 2 workers.
• This is the "surplus labour" of the Lewis model.

4. India's colonial baseline (Class 11, §1.7)

• The occupational structure was stagnant. It barely changed during British rule.
• Agriculture: 70-75% of workers
• Manufacturing: about 10%

• Services: 15-20%

• Regional variation:

• Agriculture's share fell a little in parts of Madras Presidency, Bombay Presidency and Bengal, because manufacturing and services grew there.

• Agriculture's share rose in Orissa, Rajasthan and Punjab.

• Result: India began planning in 1950-51 with most workers on farms and a very small factory base.

5. 1950-1990: the numbers (Class 11, Indian Economy 1950-1990)

Share (%)	GDP 1950-51	GDP 1990-91	Change	Workforce 1950-51	Workforce 1990-91	Change
Agriculture	59.0	34.9	−24.1	72.1	66.8	−5.3
Industry	13.0	24.6	+11.6	10.7	12.7	+2.0
Services	28.0	40.5	+12.5	17.2	20.5	+3.3

• Read the "Change" columns: agriculture lost 24.1 points of GDP share but only 5.3 points of workforce share. So output left the farms, but people stayed on them.

Worked example: relative labour productivity

• Formula: Relative productivity = GDP share ÷ Workforce share
• A value above 1 means a worker in that sector produces more than the average worker.

• A value below 1 means the worker produces less than the average.

• Agriculture:

• 1950-51: 59.0 ÷ 72.1 = 0.82

• 1990-91: 34.9 ÷ 66.8 = 0.52

• Industry:

• 1950-51: 13.0 ÷ 10.7 = 1.21

• 1990-91: 24.6 ÷ 12.7 = 1.94

• Services:

• 1950-51: 28.0 ÷ 17.2 = 1.63

• 1990-91: 40.5 ÷ 20.5 = 1.98

• Meaning:

• By 1990-91, a farm worker produced about half the output of the average worker.
• A worker in industry or services produced about 2 times the average, which is nearly 4 times a farm worker.
• The dual economy gap became wider between 1950-51 and 1990-91.

6. Industry, 1950-1990

• Industry grew at about 6% a year.
• It diversified beyond cotton textiles and jute, mostly through the public sector (industries owned by the government).
• NCERT calls industry's rising GDP share "an important indicator of development".
• But industry's workforce share rose only from 10.7% to 12.7%. Most of this industry was capital-intensive, so it added output faster than jobs.

7. Box 2.4, "The Service Sector": the "peculiar" path

• By 1990, services were 40.59% of GDP (the table shows 40.5). This was more than agriculture or industry, "like what we find in developed nations".
• Why NCERT calls this "peculiar":
• In developed countries, industry became the largest sector first, and services came later.

• In India, services became the largest sector before industry ever dominated. India skipped the factory-led stage.

• The shift to services accelerated after 1991, because of globalisation (the opening of India's economy to world trade and investment).

• Beyond NCERT: premature deindustrialisation. This means manufacturing's share begins to fall, or stops rising, at a much lower income level than it did in today's rich countries. India's services-first path is often discussed under this idea.

8. The failure: jobs did not follow output

• Agriculture's GDP share fell sharply, but the share of people who depended on it barely moved.
• Industry and services did not absorb the farm labour.
• Many economists call this an important policy failure of 1950-1990.
• The chain of cause and effect:
• Industry used many machines and few workers → few new factory jobs
• Farm population kept growing → more disguised unemployment on small plots
• Farm incomes stayed low → rural poverty stayed high

9. NCERT inconsistency: flag this in answers

• The same chapter's text says the population depending on agriculture fell from 67.5% (1950) to 64.9% (1990). It also speaks of "65 per cent" in 1990.
• The chapter's own table shows 72.1% → 66.8%.
• Rule: quote the table for workforce shares, and mention the mismatch. Box 2.4's 40.59% and the table's 40.5% differ only because of rounding.

10. Where the path stands now (2017-18 to 2023-24)

• Agriculture's workforce share is rising again:
• It rose from 44.1% (2017-18) to 46.1% (2023-24) (PLFS) [2].

• Compare this with 66.8% in 1990-91 (NCERT table). The share has fallen over the long run, but the fall has reversed since 2017-18. PLFS and the older NCERT data use different survey methods, so treat this long-run comparison as a rough guide.

• Industry and services lost job share (2017-18 → 2023-24):

• Manufacturing fell from 12.1% to 11.4% of workers [2].
• Services fell from 31.1% to 29.7% [2].

• Construction employed 12% of the workforce (2023-24) [2].

• Gender pattern (2017-18 → 2023-24):

• The share of female workers in agriculture rose from 57.0% to 64.4% [2].
• The share of male workers in agriculture fell from 40.2% to 36.3% [2].

• In rural areas, the female share in agriculture rose from 73.2% to 76.9% [2].

• The output-job gap continues in services:

• Services give over 50% of GVA but only about 30% of jobs (2023-24) [3].
• Services added nearly 40 million jobs over the past six years [3].

• This is the 1990 "peculiar" pattern (Box 2.4), still visible.

• International comparison (World Bank data, cited by NITI Aayog):

• India's services share of employment rose from 22.1% (1992) to 31.0% (2022), a rise of only 8.9 percentage points [3].

• The world's services share of employment rose from 35.5% to 49.8% over the same period [3].

• Job need: the economy must create about 78.5 lakh non-farm jobs every year until 2030. This will speed up the "structural transformation from farm to non-farm jobs" (Economic Survey 2024-25) [2].

• Policy response, the National Mission on Manufacturing (Union Budget 2025-26):
• Target: raise manufacturing's share of GDP from 12.9% (2023) to 25% by 2035 [4].
• Target: create 143 million jobs [4].

• This is an attempt to build the factory stage that India skipped.

• Labour-market backdrop (PLFS, July 2023-June 2024, age 15+, usual status):

• LFPR (labour force participation rate: the share of people who are working or looking for work) was 60.1% [5].
• WPR (worker population ratio: the share of people who are actually working) was 58.2% [5].
• The unemployment rate was 3.2% [5].
• Female LFPR rose from 37.0% (2022-23) to 41.7% (2023-24) [5].
• Much of this new female work is in agriculture, as the gender figures above show [2].

Prelims Hooks

• Fisher-Clark hypothesis: as a country develops, output and labour move from the primary sector to the secondary and then to the tertiary sector.
• Colonial occupational structure: agriculture 70-75%, manufacturing about 10%, services 15-20%. It was stagnant.
• Trap: during colonial rule, agriculture's workforce share rose in Orissa, Rajasthan and Punjab. It fell in parts of Madras, Bombay and Bengal.
• 1990-91 (NCERT table): services 40.5% of GDP (Box 2.4: 40.59%) was the largest sector, but only 20.5% of the workforce. Agriculture had 34.9% of GDP and 66.8% of the workforce.
• "Peculiar" (Box 2.4): in India, services became the largest sector before industry ever dominated.
• Trap: the NCERT text says 67.5% → 64.9% of the population depended on agriculture. The NCERT table shows workforce share 72.1% → 66.8% (1950-51 to 1990-91).
• PLFS 2023-24: agriculture's workforce share rose from 44.1% (2017-18) to 46.1%. Manufacturing fell from 12.1% to 11.4% [2].
• Services (2023-24): over 50% of GVA but about 30% of jobs [3].
• National Mission on Manufacturing (Budget 2025-26): manufacturing to 25% of GDP by 2035, up from 12.9% (2023) [4].
• Lewis model (1954): surplus farm labour, which is disguised unemployment, moves to the modern sector.

Mains Points

• Growth without job shift:
• From 1950-51 to 1990-91, agriculture lost 24.1 points of GDP share but only 5.3 points of workforce share.
• Farm workers' relative productivity fell from 0.82 to 0.52.

• Use this to explain rural poverty, disguised unemployment and the dual economy. It is NCERT's "important policy failure".

• Services-led vs manufacturing-led paths:

• India skipped the factory stage.
• Services give high output but few jobs: over 50% of GVA against about 30% of jobs [3].

• Services need skills, while manufacturing can absorb low-skill farm labour. Link this to Make in India, PLI schemes and the National Mission on Manufacturing target of 25% of GDP [4].

• Reversal after 2017-18:

• Agriculture's job share rose to 46.1%, and female workers moved towards farms (64.4%) [2].
• This may be "distress" absorption (people taking farm work because there are no other jobs), not progress.

• Argue for labour-intensive manufacturing, construction, and rural non-farm jobs (78.5 lakh a year needed until 2030) [2].

• Policy lesson from 1950-1990:

• The capital-intensive, public-sector-led industrialisation of this period raised output but not employment.
• Use this in GS-III answers on inclusive growth and on choosing technology that creates jobs.