Structural transformation

Also called: Structural change, Historical change in sectors, sectoral shift, Classical pattern of development, Sequential structural transformation · Topic: Sectors of the Indian Economy · NCERT: Class 10, Ch 2 "Sectors of the Indian Economy"; Class 11, Ch 2 "Indian Economy 1950-1990"; Class 11, Ch 6 "Employment: Growth, Informalisation and Other Issues"; Class 11, Ch 8 "Comparative Development Experiences of India and its Neighbours"

Meaning

Structural transformation is the shift of a country's output and jobs from agriculture (primary sector) to industry (secondary sector), and then to services (tertiary sector), as the country develops.

It matters because it shows whether growth is reaching people. A country develops well only when workers move along with output into more productive sectors. India's path was "peculiar". Services became the largest part of output before industry ever became the largest, while most workers stayed on farms.

Formulas:

• Sector share (%) = (Sector's GDP or GVA ÷ Total GDP or GVA) × 100
• Workforce share (%) = (Workers in the sector ÷ Total workers) × 100
• Relative labour productivity = GDP share ÷ Workforce share

Explanation

How it is measured: two lenses

• Output share: a sector's share in GDP or GVA. GVA (gross value added) is the value of output minus the value of inputs used up.
• Employment share: a sector's share in total workers. This is called the occupational structure, meaning how workers are spread across sectors.
• Always check both. If a sector's output share falls but its job share does not, the transformation is incomplete.
• The three sectors (NCERT):
• Primary: uses natural resources directly. Examples are farming, dairy, fishing, forestry and mining.
• Secondary (industrial sector): turns natural products into other forms through manufacturing.
• Tertiary (service sector): helps the other two sectors. Examples are transport, storage, banking, trade and communication.

The textbook sequence in developed countries (Class 10)

1. Early stage: the primary sector is the largest in both production and jobs.

2. Farm surplus stage: - Better farming methods produce more food. - Fewer people are needed on farms. - The people who are freed become craftspersons, traders, transporters, administrators and soldiers.

3. Industrial stage (over 100+ years): - New ways of manufacturing bring factories. - Farm workers move into factories. They were often "forced" to move. - 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, and most workers are in services too. - Key point: in this sequence, output and jobs move together.

Theories that explain the shift (Beyond NCERT)

• Fisher-Clark three-sector hypothesis (A.G.B. Fisher and Colin Clark): as incomes rise, labour and output move from primary to secondary to tertiary.
• Dual economy: a modern sector and a traditional sector exist side by side.
• 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.

• They move to the modern sector, and growth continues until this surplus is used up.

• Disguised unemployment: more people work on a farm than are actually needed, so output does not fall if some leave.

• Class 10 example: a family of 5 works on a plot that needs only 2 workers.

Worked example: relative labour productivity (India, NCERT table)

• Agriculture:
• 1950-51: 59.0 ÷ 72.1 = 0.82

• 1990-91: 34.9 ÷ 66.8 = 0.52

• Industry: 1.21 (1950-51) → 1.94 (1990-91)

• Services: 1.63 (1950-51) → 1.98 (1990-91)
• How to read it:
• A value below 1 means a worker in that sector produces less than the average worker.
• By 1990-91, a farm worker produced about half the output of the average worker.
• An industry or services worker produced about 2 times the average, which is nearly 4 times a farm worker.
• So the dual economy gap became wider.

In India

Colonial baseline (stagnant occupational structure)

• Agriculture had 70-75% of workers, manufacturing about 10%, and services 15-20%.
• Agriculture's share fell a little in parts of Madras Presidency, Bombay Presidency and Bengal.
• It rose in Orissa, Rajasthan and Punjab.

1950-51 to 1990-91 (NCERT table)

Share (%)	GDP 1950-51	GDP 1990-91	Workforce 1950-51	Workforce 1990-91
Agriculture	59.0	34.9	72.1	66.8
Industry	13.0	24.6	10.7	12.7
Services	28.0	40.5	17.2	20.5

• Agriculture lost 24.1 points of GDP share but only 5.3 points of workforce share. Output left the farms, but people stayed.
• Industry:
• It grew at about 6% a year and diversified beyond cotton textiles and jute, mostly through the public sector.

• It was capital-intensive, so its job share rose only from 10.7% to 12.7%.

• Box 2.4, the "peculiar" path: by 1990, services were 40.59% of GDP, "like what we find in developed nations". In India, services became the largest sector before industry ever dominated.

• Why jobs did not follow output:
• Capital-intensive industry → few new factory jobs
• Farm population kept growing → more disguised unemployment on small plots

• Farm incomes stayed low → rural poverty stayed high

• Many economists call this an important policy failure of 1950-1990.

Where it stands now

• Agriculture's job share is rising again: from 44.1% (2017-18) to 46.1% (2023-24) in the PLFS (Periodic Labour Force Survey) [2].
• Industry and services lost job share (2017-18 → 2023-24):
• Manufacturing fell from 12.1% to 11.4% [2].
• Services fell from 31.1% to 29.7% [2].

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

• Gender pattern:

• 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% (2017-18 → 2023-24) [2].

• Services gap: services give over 50% of GVA but only about 30% of jobs (2023-24) [3].

• International comparison (World Bank data, cited by NITI Aayog):
• India's services share of employment rose from 22.1% (1992) to 31.0% (2022) [3].

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

• Job need: India must create about 78.5 lakh non-farm jobs every year until 2030 (Economic Survey 2024-25) [2].

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

• Target: create 143 million jobs [4].

• Labour market backdrop (PLFS 2023-24, age 15+, usual status):

• LFPR (labour force participation rate: the share of people working or looking for work) was 60.1% [5].
• WPR (worker population ratio: the share of people actually working) was 58.2% [5].

• The unemployment rate was 3.2% [5].

• Data caution: PLFS and the older NCERT data use different survey methods, so treat long-run comparisons as a rough guide.

Don't confuse with

• Economic growth: growth is a rise in total output. Structural transformation is a change in the mix of output and jobs across sectors. India grew between 1950 and 1990 while its workforce mix barely changed.
• Premature deindustrialisation (Beyond NCERT): manufacturing's share starts falling, or stops rising, at a much lower income level than in today's rich countries. It describes one type of distorted structural transformation, not the process itself.
• Disguised unemployment: this is the surplus farm labour that structural transformation is supposed to absorb. It is not the shift itself.
• Output share vs employment share: a sector can be the largest in GDP but not in jobs. In India in 1990-91, services were the largest in GDP (40.5%), but agriculture was the largest in jobs (66.8%).

Prelims Hooks

• Fisher-Clark hypothesis: as a country develops, output and labour move from primary to secondary to tertiary.
• Trap: during colonial rule, agriculture's workforce share rose in Orissa, Rajasthan and Punjab, and fell in parts of Madras, Bombay and Bengal.
• 1990-91 (NCERT table): services had 40.5% of GDP (Box 2.4 gives 40.59%) but only 20.5% of the workforce. Agriculture had 34.9% of GDP and 66.8% of the workforce.
• Trap: the NCERT text says 67.5% → 64.9% of the population depended on agriculture. The NCERT table gives the workforce share as 72.1% → 66.8% (1950-51 to 1990-91). Quote the table.
• PLFS 2023-24: agriculture's workforce share rose to 46.1% (from 44.1% in 2017-18). Manufacturing fell to 11.4% (from 12.1%) [2].
• National Mission on Manufacturing (Budget 2025-26): manufacturing to 25% of GDP by 2035, up from 12.9% (2023) [4].

Mains Points

• Growth without a job shift (GS-III, inclusive growth):
• 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.
• This explains rural poverty, disguised unemployment and a wider dual economy.

• Lesson: capital-intensive, public-sector-led industry raised output but not jobs, so technology choice must also consider employment.

• Services-led vs manufacturing-led paths:

• India skipped the factory stage. Services give over 50% of GVA but only 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 by 2035 [4].

• Reversal after 2017-18:

• Agriculture's job share rose to 46.1%, and the share of female workers in farming rose to 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 work to meet the need of 78.5 lakh non-farm jobs a year until 2030 [2].

Related concepts

• Occupational structure
• Dual economy

Read more

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