Context:
The Government released a new GDP series (Base Year: 2022–23) to improve accuracy in measuring India’s economic performance with updated methodologies.
Key Highlights:
- Government Initiative / Methodology Updates
- Released by Ministry of Statistics and Programme Implementation (MoSPI) on February 27, 2026.
- Replaces outdated 2011–12 base year.
- Incorporates advanced estimation techniques like double deflation and volume extrapolation.
- Data & Economic Indicators
- GDP estimates (current prices):
- ₹261.18 lakh crore (2022–23)
- ₹289.84 lakh crore (2023–24)
- ₹318.07 lakh crore (2024–25)
- Manufacturing growth: 12.7% (2023–24), 9.3% (2024–25).
- Private Final Consumption Expenditure (PFCE): ~56% of GDP.
- Sectoral Composition (2024–25)
- Primary: 21.4%
- Secondary: 25.8%
- Tertiary: 52.9%
- Key Refinements
- Better classification of multi-activity enterprises.
- Inclusion of LLPs and high-frequency data.
- Improved measurement of GVA per worker.
- Challenges / Concerns
- Difficulty in allocating national GVA to states (GSVA).
- Data limitations in ASI (Annual Survey of Industries).
- Volatility in ASUSE data affecting accuracy.
Relevant Prelims Points:
- GDP: Total value of goods and services produced within a country.
- GVA: Output minus intermediate consumption.
- Double Deflation: Adjusts both output and input prices for real GVA.
- Volume Extrapolation: Uses production indicators to estimate growth.
- Base Year Revision: Done periodically to reflect structural economic changes.
Relevant Mains Points:
- Importance of Base Year Revision:
- Reflects current economic structure and consumption patterns.
- Aligns with international statistical standards (UNSNA).
- Implications for Policy:
- Better data aids monetary and fiscal policymaking.
- Helps in accurate sectoral targeting and investment planning.
- Structural Insights:
- Dominance of services sector indicates structural transformation.
- Manufacturing growth supports industrialization goals.
- Challenges in Data Systems:
- Need for integration of GST, MCA databases.
- Improving survey methodologies (ASI, ASUSE).
- Federal Implications:
- Accurate GSVA crucial for state-level planning and fiscal transfers.
- Way Forward
- Strengthen data infrastructure and digital integration.
- Adopt robust statistical methodologies and frequent updates.
- Enhance transparency and independent statistical oversight.
UPSC Relevance:
• GS 3: Economy – National income accounting, growth measurement
• Prelims: GDP concepts, statistical methods