Employment: Growth, Informalisation and Other Issues

PART 1 — Quick Reference Tables

Key Terms Defined

Types of Unemployment — Quick Comparison

PLFS 2023-24 Key Data (July 2023 – June 2024)

Employment Status Distribution (PLFS 2023-24)

Rural breakdown: Among rural male workers — 59.4% self-employed, 24.8% casual, 15.8% regular wage. Among rural female workers — 73.5% self-employed, 18.7% casual, 7.8% regular wage.

Key inference: The dominance of self-employment (58.4%) is often cited as a sign of limited formal job creation — much of this "self-employment" is disguised unemployment or low-productivity subsistence work.

Formal vs. Informal Sector

Four Labour Codes — What They Consolidate

Total: 4 Codes consolidate 29 central labour laws. All four codes notified (passed by Parliament) and made effective from 21 November 2025.

PM Mudra Yojana — Three Categories

Launched: 8 April 2015 | Implementing agency: MUDRA Ltd. (subsidiary of SIDBI) | Sector: Non-corporate, non-farm micro/small enterprises

Employment-Linked Schemes Comparison

Gig Economy — Key Facts

UPSC Trap: Unemployment Rate vs. Employment Quality

PART 2 — Analytical Notes

1. The Informalisation of India's Workforce

Informalisation is the defining feature of India's labour market. The informal economy employs approximately 90% of India's workforce while contributing roughly 45–50% of GDP. This paradox — low productivity informal workers supporting a growing economy — is a central theme in Indian development.

What creates informal employment?

1. Structural dualism: India's economy has a high-productivity formal sector (IT, finance, pharmaceuticals) absorbing few workers and a low-productivity informal sector absorbing the rest.
2. Labour law rigidity (pre-reform): Before the Labour Codes, stringent labour regulations — particularly the Industrial Disputes Act's requirement for prior government permission to lay off workers in firms with 100+ employees — discouraged firms from hiring permanent formal workers. Instead, they outsourced to informal sub-contractors.
3. Small firm dominance: India's enterprise structure is bimodal — a few large formal firms, and millions of tiny informal enterprises. The "missing middle" (medium-sized firms creating formal employment) is absent.
4. Agricultural overhang: With ~45% of the workforce in agriculture (PLFS 2023-24) and agriculture contributing ~18% of GDP, the sector is structurally overcrowded with low-productivity informal employment.

Informalisation post-1991: Economic liberalisation accelerated GDP growth but also increased informalisation. As firms competed globally, they reduced permanent headcount and expanded contract labour. Manufacturing growth lagged service growth — services absorbed fewer workers per unit of output. The result: "jobless growth" in the formal sector even as GDP expanded.

2. Disguised Unemployment: The Hidden Burden

Disguised unemployment is particularly severe in Indian agriculture and the unorganised service sector.

Mechanism: When a farm has 4 family members working 2 acres, all four may "work" — but only 2 may be economically necessary. The other 2 have zero marginal productivity. If they migrate to a city, farm output does not fall.

Scale: The National Commission for Rural Labour estimated that 15–20% of India's agricultural workforce was disguisedly unemployed in the post-Green Revolution period. Seasonal unemployment compounds the problem — cultivators in rain-fed areas may have work for only 4–6 months a year.

Why it persists:

• Social custom: family members share farm work even when not economically productive
• Absence of alternative employment
• Poor rural education limiting migration capability
• Risk aversion: staying on the farm is safer than uncertain urban migration

Policy implications: Disguised unemployment is the underlying driver for rural non-farm employment schemes like MGNREGA. Moving labour out of low-productivity agriculture into MGNREGA work — even on public goods like roads and ponds — raises effective productivity.

3. The Jobless Growth Debate

"Jobless growth" refers to a situation where GDP grows at a high rate but formal employment growth remains stagnant or below GDP growth rate.

Evidence from India (1991–2010):

• GDP grew at 6–8% annually in the 1990s–2000s
• But organised manufacturing employment actually declined in the 1990s and early 2000s due to restructuring
• IT and ITES sectors created high-quality but numerically small formal employment
• Most employment growth was in the informal sector — in trade, construction, and petty services

Reasons for jobless growth:

1. Capital intensity: liberalisation allowed firms to import capital equipment, reducing labour demand per unit output
2. Service-led growth: India's growth was driven by capital- and skill-intensive services rather than labour-intensive manufacturing
3. Agricultural stagnation: agriculture's share in GDP fell but its share in employment fell more slowly
4. Labour rigidity (pre-reform): formal sector firms reluctant to hire permanent workers

Recent reversal (2017-18 to 2023-24): PLFS data shows rising WPR and LFPR, especially among rural women. This has sparked debate — is it genuine employment creation, or a return to low-productivity agricultural work driven by distress (particularly during and after COVID-19)?

4. Women and the Labour Market

India's female labour force participation rate (LFPR) presents a paradox:

The paradox: As India's income grew through the 1990s and 2000s, female LFPR declined — a pattern opposite to most developing countries. The standard economic model predicts a U-shaped relationship: FLFPR falls as households become richer (women withdraw from farm labour when income rises) and then rises again as education and formal job opportunities expand.

The turnaround: Post-2018-19, FLFPR has risen sharply. From 23.3% in 2017-18 to 41.7% in 2023-24 (PLFS, July 2023–June 2024). Rural FLFPR reached 47.6% in 2023-24.

What drives the rise?

• MGNREGA expanded female wage employment (mandatory one-third women beneficiaries)
• SHGs created self-employment
• PM Kisan and rural income transfer schemes freed women to enter labour market
• Expansion of rural non-farm work (ASHA workers, anganwadi, gig delivery)

Cautions: A large share of the increase is in self-employment (73.5% of rural female workers are self-employed) — much of this may be low-quality, unpaid family labour reclassified as "work." Urban FLFPR remains lower than rural (highlighting the "missing middle" of formal urban employment for women).

5. The Labour Codes Reform

The consolidation of 29 central labour laws into 4 codes, passed between 2019 and 2020, is one of the most significant structural reforms in India's labour market history. The codes were made effective from 21 November 2025.

Key changes and controversies:

• Threshold for layoffs raised: The Industrial Relations Code raises the threshold for requiring prior government permission for retrenchment from 100 workers to 300. Critics argue this weakens worker protection; supporters argue it will encourage firms to hire more formally.
• Fixed-term employment: Recognised nationally — enables formal employment without permanent commitment; workers get pro-rated benefits (gratuity, etc.).
• Gig worker social security: The Code on Social Security mandates aggregators to contribute to a social security fund — a first in India. Implementation pending.
• Universalisation of minimum wage: Code on Wages introduces a floor wage across all establishments, removing sector-specific exemptions.

State-level delay: Labour is a Concurrent List subject. The codes require states to frame their own rules. As of 2025, most major states have notified the rules enabling the codes to take effect.

6. Skill India and the Human Capital Gap

India faces a "demographic dividend" — the working-age population (15–59 years) forms an unusually large share of the total. But this dividend is only realised if workers are skilled.

The skill gap: India's National Skill Development Policy notes that only about 5% of India's workforce (between 15–59 years) has received formal skill training, compared to 80%+ in Germany, 75% in Japan, and 96% in South Korea.

PM Kaushal Vikas Yojana (PMKVY): Launched 15 July 2015 (World Youth Skills Day), PMKVY is the flagship scheme under the Skill India Mission, implemented by NSDC. PMKVY covers:

• Short-term training (STT) through NSDC training partners
• Recognition of Prior Learning (RPL) — certifying informal skills
• PM Kaushal Kendras (PMKKs) — model skill training centres

The scheme targets youth with Class 10 or 12 dropout status as the primary beneficiary. As of 2025, over 2.27 crore beneficiaries trained under three flagship skill schemes.

💡 Explainer: Why India's Unemployment Rate Looks Low but the Problem is Real

India's official unemployment rate of 3.2% (PLFS 2023-24) looks deceptively low. The reason: the standard unemployment rate only counts "open unemployed" — those actively seeking work. In a poor country with no unemployment insurance, most people cannot afford to be openly unemployed. They accept any available work — farming family land, street vending, casual construction — even at poverty wages. This is not genuine employment; it is disguised unemployment, underemployment, and distress employment. The more meaningful metrics are: (1) WPR quality — what type of jobs; (2) wage levels; (3) share of regular salaried workers (only 21.7%). India's employment problem is not quantity but quality.

🔗 Beyond the Book: The Gig Economy — New Informality?

India's gig and platform economy is growing rapidly. Zomato and Swiggy alone employ millions of delivery workers. Ola and Uber have lakhs of driver-partners. These workers are classified as "partners" or "independent contractors" — not employees. They have no EPF, no ESI, no job security, and can be deactivated algorithmically. NITI Aayog projects 23.5 million gig workers by 2029-30. The Code on Social Security 2020 is the first recognition of gig workers' need for social protection, requiring aggregators to contribute 1–2% of annual turnover to a welfare fund. But implementation rules are still pending. In a broader sense, the gig economy is a new form of informalisation — high-tech, visible, urban, but still lacking the protections of formal employment.

🎯 UPSC Connect: Four Labour Codes — The Reform Argument

For UPSC GS3 and Essay, be prepared to argue both sides of the labour reform debate.

For the reforms: 29 laws were fragmented, overlapping, contradictory, and archaic (many dating to the 1930s–1950s). Multiplicity increased compliance cost for firms, discouraging formal hiring. Streamlining creates transparency and lowers barriers to formal employment. The raised layoff threshold (100 → 300 workers) may incentivise larger formal manufacturing establishments. Gig worker social security is a genuine progressive step.

Against the reforms: Raising the layoff threshold weakens worker bargaining power — firms can hire and fire more easily. Fixed-term employment may replace permanent jobs, eroding long-term job security. Critics argue the reforms are "employer-friendly" and weaken collective bargaining rights. Trade unions opposed the codes, citing insufficient worker consultation.

Balance: The reforms are an attempt to navigate the fundamental tension in labour economics — labour flexibility encourages investment and formal job creation; labour protection ensures workers share the gains. India needs both.

📌 Key Fact: Informalisation Statistics (Verified)

Three numbers to remember for UPSC:

1. ~90% of India's workforce is in the informal/unorganised sector (National Commission for Enterprises in the Unorganised Sector definition; consistent with PLFS enterprise-based analysis)
2. 58.4% of workers are self-employed (PLFS 2023-24) — the largest category, including disguised unemployment
3. 21.7% are regular wage/salaried workers — only this category has reasonable job security and social protection

These three numbers together tell the story of India's employment challenge better than the 3.2% unemployment rate.

PART 3 — Analytical Frameworks for Mains

Framework 1: The Employment Quality Spectrum

Instead of a binary employed/unemployed distinction, think of India's labour market as a spectrum of job quality:

Policy challenge: Move workers up this spectrum — from subsistence self-employment to stable wage work.

Framework 2: The Demographic Dividend Model

India has a favourable age structure — a large working-age population and shrinking dependency ratio. The demographic dividend is not automatic:

Preconditions for dividend:

1. Skilled workforce → requires education (NEP 2020 + skill training)
2. Formal job creation → requires investment (Make in India, PLI schemes)
3. Women's workforce participation → requires social norms change + safety + childcare
4. Social protection → requires labour code implementation

If preconditions not met: The dividend becomes a "demographic disaster" — a large, unemployed, underemployed youth population creating social instability.

Framework 3: Jobless Growth Diagnosis

Policy inference: Structural transformation — shifting workers from low-productivity agriculture and informal services to high-productivity manufacturing and formal services — is the only durable solution to India's employment challenge.

Exam Strategy

High-frequency Mains themes from this chapter:

1. "What is informalisation? Discuss its causes and consequences for India's labour market." — Use the 90% statistic; discuss causes (firm-size bimodality, labour law history, capital intensity); discuss consequences (wage suppression, no social security, precariousness).
2. "Critically examine the Four Labour Codes as a reform of India's labour market." — Describe the 29 → 4 consolidation; give provisions of each code; evaluate pro and con.
3. "What is disguised unemployment? How is it different from open unemployment? Where is it prevalent in India?" — Use definition, marginal productivity concept, agriculture/informal sector context.
4. "Evaluate India's performance on LFPR, WPR, and unemployment rate using latest PLFS data." — Use 2023-24 figures; note female LFPR rise; note employment quality concern.
5. "Gig economy: opportunity or exploitation? Analyse with reference to Indian policy." — Use NITI Aayog data; Labour Code provisions; arguments on both sides.

Prelims traps to avoid:

• Code on Wages was passed in 2019; the other three Labour Codes were passed in 2020.
• 29 laws consolidated into 4 codes (not 40, not 44).
• Labour Codes made effective from 21 November 2025 — after parliamentary passage in 2019–20.
• PM Mudra Yojana launched 8 April 2015; Shishu limit: ₹50,000; Tarun limit: ₹10 lakh; Tarun Plus: ₹20 lakh (new category added).
• PLFS is conducted by MoSPI (Ministry of Statistics and Programme Implementation) — previously by NSSO which is now part of MoSPI.
• India's UR from PLFS 2023-24: 3.2% (not 6%, not 8% — those were 2017-18 highs when PLFS was first launched).
• Female LFPR PLFS 2023-24: 41.7% overall; 47.6% rural — both rising rapidly but still a concern.
• MGNREGA: at least one-third (33%) of beneficiaries must be women.
• Skill India Mission (PMKVY) launched on 15 July 2015 (World Youth Skills Day).
• NSDC = National Skill Development Corporation (not Council) — private-public partnership implementing PMKVY.