• Skill gap: A large number of graduates lack employable skills; surveys show over 80% unemployable for knowledge jobs.
• Agricultural dominance: Nearly 40% of the workforce is in agriculture contributing only ~16% to GDP, reflecting disguised unemployment.
• Informality: With ~85–90% of the workforce in informal jobs, security and career mobility remain absent.
• Regional disparities: States like Bihar and UP lag in industrial growth, pushing migration and labour mismatch.
• Population growth and wage expectations: Rising labour force with unrealistic salary demands worsens job absorption.

Methodology adopted in India:

Unemployment is measured mainly by the National Statistical Office (NSO) through the Periodic Labour Force Survey (PLFS):

• Usual Principal Status (UPS): Classifies workers based on activity over the past 365 days.
• Current Weekly Status (CWS): Records employment status in the past 7 days.
• Current Daily Status (CDS): Sensitive indicator of daily activity, capturing underemployment. Data is segmented by age, gender, education, and rural/urban divides.

Limitations

• Delayed release reduces policy utility.
• Informal and gig workers undercounted.
• Social norms keep many women outside official unemployment counts.
• Rural underemployment often masked by family farm work.

Suggested Improvements

• High-frequency and timely PLFS releases.
• Incorporate skill-mismatch and underemployment indices.
• Better capture of informal/gig employment.
• Regional and sectoral granularity for targeted interventions.
• Integration of survey data with administrative records (EPFO, ESIC, GST).

• Labour absorption in low-productivity sectors: Growth in sectors like construction, retail trade, transport and other services has been labour-intensive but not productivity-enhancing.
• Female and informal workforce participation: Post-pandemic, women and informal workers re-entered the workforce, often in agriculture or gig platforms, cushioning household incomes.
• Limited technological upgradation: Industries relied more on expanding workforce rather than improving productivity through innovation.
• Agricultural distress push: Rural workers moved into low-paying casual work in construction and small enterprises, adding to GDP but not creating high-value employment.
• Labour productivity gap: Per-worker productivity growth has lagged, indicating that output growth stems largely from adding more workers rather than raising efficiency.

Growth Pattern Needed for Sustainable Job Creation

• Promote labour-intensive manufacturing: Textiles, food processing, electronics assembly, and export-oriented manufacturing can absorb surplus labour.
• Encourage MSMEs & start-ups: Strengthen credit, market linkages, and cluster-based growth to expand small enterprises with high job potential.
• Boost skilling & re-skilling: Align National Skill Development Mission with emerging sectors like green economy, logistics, digital services.
• Formalization with productivity focus: Encourage transition of workers from informal to formal enterprises with social security.
• Technology–labour complementarity: Promote Industry 4.0 adoption where automation augments human labour rather than replacing it.
• Regional balanced growth: Develop labour-intensive industries in less developed states to reduce distress migration.

1.     Rigid Labour Laws

• Complex regulations (Industrial Disputes Act, Contract Labour Act) discouraged firms from scaling up labour-intensive industries.
• Firms preferred automation/capital use to avoid compliance and hiring costs.

2.     Infrastructure Bottlenecks

• High logistics costs, unreliable power, and poor transport connectivity increased production costs, eroding competitiveness vis-à-vis China, Vietnam, and Bangladesh.

3.     Skill Gaps

• Mismatch between workforce skills and industry requirements.
• Limited vocational training and poor quality of primary education restricted productivity in labour-intensive sectors.

4.     Import Dependence in Key Sectors

• For electronics and textiles machinery, reliance on imports raised costs and discouraged domestic scale-up.

5.     Policy Bias Towards Capital-Intensive Industries

• Incentives under schemes like SEZs, FDI, and tax concessions often favoured capital-intensive sectors (steel, automobiles, petrochemicals).

6.     Informality and Small Firm Size

• Fragmented MSMEs with low technology adoption cannot compete globally.
• Lack of economies of scale limits productivity and export competitiveness.

7.     Competition from Neighbours

• Bangladesh in garments, Vietnam in electronics and footwear have outpaced India by offering more flexible policies and cheaper export environments.

Measures for Promoting Labour-Intensive Exports

1.     Labour Law Reforms

• Simplify labour codes to ensure flexibility, reduce compliance burden, and encourage large-scale labour hiring.

2.     Sector-Specific Policies

• Provide focused support to textiles, garments, leather, food processing, toys, and handicrafts—industries with high job elasticity.

3.     Infrastructure and Logistics Improvement

• Develop industrial corridors, dedicated freight corridors, port modernisation, and efficient warehousing to cut logistics costs.

4.     Skill Development

• Expand National Skill Development Mission with sector-specific training modules and industry partnerships.

5.     Support MSMEs

• Easy credit, technology upgradation funds, and cluster-based development to enhance competitiveness of small units.

6.     Trade Policy and FTAs

•  Rationalize tariffs, negotiate market access, and reduce non-tariff barriers in labour-intensive sectors.

7.     Encourage Formalization

•  Expand social security nets (EPFO, ESIC) and simplify compliance to encourage informal firms to enter formal value chains.