GDP and sectoral structure: manufacturing-led vs services-led

Detail

1. Measuring size: GDP and GDP (PPP)

• GDP (Gross Domestic Product) is the market value of all final goods and services produced inside a country in one year.
• GDP (PPP) is GDP measured at purchasing power parity. PPP adjusts for price differences between countries. One dollar buys more haircuts, rice or bus rides in India than in the USA, and PPP corrects for this.
• Formula: PPP exchange rate = price of a basket of goods in local currency ÷ price of the same basket in US$.

• Worked example: a basket costs ₹2,000 in India and US$100 in the USA. The PPP rate is ₹20 = US$1. The market exchange rate may be about ₹83 = US$1. So ₹8,300 crore of Indian output is only US$100 crore at the market rate, but US$415 crore at PPP (8,300 ÷ 20). This is why poorer countries look bigger in PPP terms.

• Size of the three economies (NCERT, recent years, PPP):

• China: about US$35 trillion. It is the 2nd largest economy in the world.
• India: about US$15 trillion, or about 42% of China's.
• Pakistan: about US$1.5 trillion, or about 10% of India's.

2. Growth record: Table 8.2 (ADB Key Indicators 2025; WDI 2024)

Country	1980-90	2015-17	2024
India	5.7 (lowest)	7.3	6.5 (highest)
China	10.3	6.8	5.0
Pakistan	6.3	5.3	3.1

• GDP growth rate (%) = (GDP this year − GDP last year) ÷ GDP last year × 100.

• Example: GDP rises from ₹100 lakh crore to ₹106.5 lakh crore. Growth = 6.5 ÷ 100 × 100 = 6.5%.

• Why a few points of growth matter (the "rule of 70"): years needed to double GDP ≈ 70 ÷ growth rate.

• China at 10.3% (1980-90) doubles its GDP in about 7 years.

• India at 5.7% (1980-90) takes about 12 years.

• 1980s:

• China had near double-digit growth, when many developed countries could not reach even 5%.

• Pakistan (6.3%) was ahead of India (5.7%), and India was at the bottom.

• Now:

• Growth has fallen in China (10.3 → 5.0) and Pakistan (6.3 → 3.1).

• India is the fastest of the three (6.5% in 2024).

• Pakistan's decline: scholars blame its reform process and long political instability.

3. GVA: the unit for sectoral shares

• GVA (Gross Value Added) is the value of output minus the value of inputs used up in producing it (intermediate consumption).
• Formula: GVA = Value of output − Intermediate consumption.
• Link to GDP: GDP = GVA + Product taxes − Product subsidies.

• Worked example: a bakery sells bread worth ₹1,000. It used flour, sugar and fuel worth ₹600. Its GVA is ₹400. If product taxes are ₹50 and subsidies ₹10, it adds ₹440 to GDP.

• GDP is now measured through GVA. Sector shares below are shares of total GVA.

4. Table 8.3: Sectoral shares (%), 2022

Sector	GVA: India	GVA: China	GVA: Pakistan	Workforce: India	Workforce: China	Workforce: Pakistan
Agriculture	18	8	24	43	23	36
Industry	28	38	21	26	32	26
Services	54	54	55	31	45	38

• Newer official data for India:
• India's GVA shares at current prices in FY24 were agriculture 17.7%, industry 27.6%, services 54.7% [3] (NCERT 2022: 18 / 28 / 54).
• The services share of GVA rose from 50.6% in FY14 to about 55% in FY25 [2].
• Services employ about 30% of the workforce (Economic Survey 2024-25) [2] (NCERT 2022: 31%).

5. Reading the structure: the productivity gap

• Relative labour productivity of a sector = sector's share in GVA ÷ sector's share in workforce.

• A value above 1 means each worker produces more than the national average. A value below 1 means each produces less.

• Worked example (2022 data):

• India agriculture: 18 ÷ 43 = 0.42. A farm worker produces less than half of the average worker's output.
• Pakistan agriculture: 24 ÷ 36 = 0.67.
• China agriculture: 8 ÷ 23 = 0.35. China's ratio is also low, but only 23% of its workers are stuck there.

• China industry: 38 ÷ 32 = 1.19. India industry: 28 ÷ 26 = 1.08. Pakistan industry: 21 ÷ 26 = 0.81.

• India's farm trap: 43% of workers produce only 18% of GVA.

• Disguised unemployment means more workers are on the land than the work needs. If some of them leave, total farm output does not fall.

• The result is low output per worker, low farm incomes and rural poverty.

• Pakistan: 36% of workers produce 24% of GVA. The gap is smaller than India's, but it is still large.

6. China's land limits and the push out of farming

• Only about 10% of China's land is cultivable, because of its hilly terrain and harsh climate.
• China's total cultivable area is about 40% of India's.
• More than 80% of Chinese depended on farming until the 1980s.
• What the state did:
• It pushed people into handicrafts, commerce and transport.
• Workers moved out of low-productivity farming.
• This freed labour for the factory boom that followed.

7. Industry: China's base

• China: industry employs 32% of workers and produces 38% of GVA. It is the largest industrial share of the three.
• India: industry employs 25% according to the NCERT text (26% in Table 8.3) and produces 28% of GVA.
• Pakistan: industry employs 26% according to Table 8.3 (the NCERT text says 24%) and produces 21% of GVA.
• Exam note: NCERT's text and table differ for India and Pakistan. Quote the table figure and mention the difference if asked.

8. Two paths of structural change

• Structural transformation means that, as an economy grows, workers and output shift from agriculture to industry and then to services.
• China followed the classical path: agriculture → industry → services. Today's rich countries followed the same path.
• India and Pakistan moved directly from agriculture to services, skipping a large manufacturing phase.
• Services share of the workforce:

Country	1980s	2022
India	17%	31%
China	12%	45%
Pakistan	27% (fastest early shift)	38%

• How to read this table:
• China started with the smallest services share (12%). It built industry first, and its services share then grew almost fourfold to 45%.
• Pakistan moved into services earliest (27% in the 1980s).
• India's services share rose from 17% to 31%. But India's services employ far fewer workers than they produce: they give 54% of GVA with only 31% of jobs.

9. Table 8.4: Sectoral output growth (%)

Country	Agri 1980-90	Ind 1980-90	Serv 1980-90	Agri 2014-18	Ind 2014-18	Serv 2014-18
India	3.1	7.4	6.9	3.1	6.9	7.6
China	5.9	10.8	13.5	3.1	5.3	7.1
Pakistan	4.0	7.7	6.8	1.7	4.8	5.0

• China:
• Industry growth slowed from 10.8% to 5.3%.
• Services growth slowed from 13.5% to 7.1%.

• Industry is still the base of its economy.

• India:

• Services growth rose from 6.9% to 7.6%.
• Industry growth dipped from 7.4% to 6.9%.

• Farm growth stayed flat at 3.1%.

• Recent official data on India's services:

• Services growth was above 6% every year in the last decade, except the Covid-19 year [2].
• Average services growth rose to 8.3% over FY23–FY25 [2].

• In FY25, services held up GDP growth while manufacturing was hurt by weak global trade in goods [2].

• Pakistan: growth slowed in all three sectors. Agriculture fell from 4.0% to 1.7%.

10. Manufacturing-led vs services-led growth

• Manufacturing-led growth means growth driven mainly by industry. It is usually built on factory exports and the mass employment of low-skilled workers.

• Example: China's near double-digit industrial growth (10.8% in 1980-90).

• Services-led growth means growth driven mainly by the tertiary sector: IT, finance, trade, telecom and business services.

• Example: India, where services grew fastest (7.6% in 2014-18).

• NCERT conclusion:

• China's growth is manufacturing-led, with support from services.
• India's growth is service-led.

• The concept of the three sectors is covered in the sectors-of-economy chapter.

• India's strength in exported services:

• India's share of world exports of digitally delivered services rose from 4.1% (2014) to 5.8% (2024) [6].
• Digitally delivered services are services supplied over computer networks, such as IT, software and back-office work.

11. NCERT exercise: Can services be the engine of growth?

• For:
• IT and business services earn foreign exchange.
• Their productivity (output per worker) is high.

• They need less land and less heavy capital than factories.

• Against:

• They employ few low-skilled workers, so farm workers cannot easily move into them.
• Many services jobs are informal: small shops, domestic work and delivery, with no job security or social security.
• Manufacturing gives what services do not:
  • mass jobs for low-skilled workers;
  • linkages with other sectors (a car plant creates demand for steel, rubber and transport);
  • large goods exports.

12. NCERT exercise: Should India and Pakistan copy China's manufacturing focus?

• India's own push: Make in India and PLI (Production-Linked Incentive) schemes. PLI gives firms cash incentives linked to extra sales of goods made in India, over a base year.
• PLI covers 14 key sectors with an outlay of ₹1.97 lakh crore (over US$26 billion). Its aims are to raise manufacturing capacity and exports [4].
• Sectors include electronics, pharmaceuticals, automobiles, textiles and food processing [4][5].

• A later PIB release puts the outlay at ₹1.91 lakh crore. It reports:

  • 836 approved applications;
  • investment of over ₹2.16 lakh crore;
  • sales of over ₹20.41 lakh crore;
  • over 14.39 lakh direct and indirect jobs [5].

• Why copying China is harder today:

• The world market for manufactured goods is now crowded, with China already dominant.
• Automation (robots and machines replacing workers) is rising, so factories create fewer jobs for each unit of output than in China's boom years.

Prelims Hooks

• GDP (PPP), NCERT recent years: China about US$35 trillion (2nd in the world). India about US$15 trillion (about 42% of China). Pakistan about US$1.5 trillion (about 10% of India).
• GVA = Output − Intermediate consumption. GDP = GVA + Product taxes − Product subsidies.
• Growth 1980-90: China 10.3% > Pakistan 6.3% > India 5.7%. Growth 2024: India 6.5% > China 5.0% > Pakistan 3.1%. Trap: in the 1980s Pakistan grew faster than India.
• Workforce in agriculture (2022): India 43% > Pakistan 36% > China 23%. GVA from agriculture: Pakistan 24% > India 18% > China 8%.
• Industry's share of GVA (2022): China 38% (highest) > India 28% > Pakistan 21%.
• Services' share of GVA (2022) is nearly the same in all three: 54%, 54% and 55%. Trap: the difference lies in services' share of workers (China 45%, Pakistan 38%, India 31%).
• Services' share of the workforce in the 1980s: Pakistan 27% (highest), India 17%, China 12% (lowest).
• China's cultivable land is about 10% of its area and about 40% of India's cultivable area.
• India's services share of GVA: 50.6% (FY14) to about 55% (FY25). PLI: 14 sectors, ₹1.97 lakh crore [2][4].
• China followed agriculture → industry → services. India and Pakistan went agriculture → services.

Mains Points

• Jobless-growth risk of services-led growth:
• Services give about 55% of India's GVA but employ only about 30% of workers [2].
• Meanwhile, 43% of workers stay in agriculture, which produces 18% of GVA (2022).

• Without a large manufacturing phase, workers facing disguised unemployment have nowhere productive to go. So India needs labour-intensive manufacturing (textiles, leather, food processing, electronics assembly) as well as IT.

• Lessons from China, with limits:

• China used state-led land reform, a push into handicrafts and transport, and export-oriented industry to reach 10.8% industrial growth (1980s).
• India's Make in India and PLI (₹1.97 lakh crore, 14 sectors [4]) try to copy this.

• But crowded world markets, automation and China's own dominance mean India must also compete on logistics, skills and ease of doing business, not just on subsidies.

• Pakistan as a warning:

• Pakistan's growth fell from 6.3% (1980-90) to 3.1% (2024), and it slowed in all three sectors.

• Scholars link this to a weak reform process and political instability. This shows that the policy climate matters as much as the choice of sector.

• A balanced path:

• Services exports are a real strength: India's share of world digitally delivered services exports rose from 4.1% to 5.8% (2014–2024) [6].
• India can use this to pay for imports, alongside manufacturing jobs for the low-skilled. This makes the choice "services and manufacturing", not "services or manufacturing" (useful for GS-III answers on growth and employment).