GS 3 · 2023Economy15 Marks
Q10.Most of the unemployment in India is structural in nature. Examine the methodology adopted to compute unemployment in the country and suggest improvements.
Directive: Examine, suggest15 marks
Introduction: Understanding Structural Unemployment in India
Structural unemployment, a mismatch between jobs and worker skills or location, is prevalent in India due to technological shifts, inadequate skill development, and sectoral imbalances.
Methodology for Computing Unemployment in India
India's unemployment data primarily comes from the National Sample Survey Office's (NSSO) Periodic Labour Force Survey (PLFS). It employs three key approaches:
- Usual Status (PS+SS): Measures long-term unemployment over 365 days, including principal and subsidiary economic activities.
- Current Weekly Status (CWS): Assesses unemployment based on activity during the last seven days.
- Current Daily Status (CDS): Calculates person-days of unemployment in the reference week, offering granular detail.
Limitations and Challenges of the Current Methodology
- Informal Sector: Difficulty in accurately capturing the vast informal sector, leading to underestimation of underemployment and disguised unemployment.
- Underemployment: Fails to adequately measure those working fewer hours than desired or in jobs below their skill level.
- Data Frequency: Annual PLFS data may not reflect dynamic labour market changes quickly enough.
- Definitional Ambiguities: Challenges in classifying 'work' or 'seeking work' in India's diverse economy.
Suggestions for Improving Unemployment Data Computation
- Increased Frequency: Conduct PLFS more frequently (e.g., quarterly) for timely insights.
- Improved Informal Sector Capture: Enhance methodologies to accurately capture informal sector employment, underemployment, and skill mismatches.
- Skill-Based Data: Incorporate specific modules to assess skill gaps and structural unemployment directly.
- Leverage Administrative Data: Integrate data from EPFO, ESI, and skill development programs.
- Technological Integration: Utilize big data analytics for real-time labour market intelligence.
Conclusion: Importance of Accurate Unemployment Data
Improving unemployment data is crucial for formulating effective policies addressing structural unemployment. A comprehensive, dynamic framework, accounting for India's unique labour market, is essential for inclusive growth and skill development.
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