Context
- The Ministry of Statistics and Programme Implementation released a new GDP series with base year 2022–23 on February 27, 2026 to improve the accuracy of national accounts.
- The revision replaces the earlier 2011–12 base year and aims to provide a more realistic estimate of the Indian economy.
- Source: New GDP series, charting the path ahead, The Hindu
Updated GDP Estimates
- GDP size estimates: ₹261.18 lakh crore (2022–23), ₹289.84 lakh crore (2023–24), ₹318.07 lakh crore (2024–25) at current prices
- Comparison with previous series: New estimates are 3–4% lower than earlier estimates
- Sectoral composition: Primary (21.4%), Secondary (25.8%), Tertiary (52.9%) in 2024–25
- Manufacturing growth: Real GVA growth of 12.7% (2023–24) and 9.3% (2024–25)
- Consumption share: Private Final Consumption Expenditure around 56% of GDP
Methodological Refinements
- Multi-activity enterprises: GVA distributed across activities based on revenue share instead of assigning to main activity
- Scaling factor improvement: Use of industry × size class factors based on paid-up capital for non-reporting firms
- Expanded corporate coverage: Inclusion of Limited Liability Partnerships using MCA database
- Household sector estimation: Combination of ASUSE (GVA per worker) and PLFS (number of workers)
- Real GVA estimation: Adoption of double deflation and volume extrapolation methods
- Consumption data: Use of Household Consumption Expenditure Survey (HCES 2022–23) for PFCE estimates
Institutional and Data Challenges
- Sectoral data strength: Robust databases for government and public corporations
- Private corporate sector issue: Difficulty in allocating national GVA to States due to enterprise-level data limitations
- State-level estimation: Use of ASI and GST data, but ASI suffers from incomplete coverage
- Impact: Inaccurate State shares may distort Gross State Value Added (GSVA) estimates
Sampling and Estimation Issues
- ASI limitation: Smaller sample frame compared to MCA database leads to incomplete representation
- Suggested improvement: Use MCA and GST databases to strengthen sampling frame
- Alternative approach: Conduct sample surveys of active companies for better State-wise GVA distribution
Household Sector Estimation Challenges
- Method: GVA estimated using GVAPW (ASUSE) × workforce (PLFS)
- Issue: Significant year-to-year volatility in GVAPW estimates across industries and States
- Example: Fluctuations observed in manufacturing and specific industries like rubber and plastics
- Current solution: Use of three-year moving averages (except base year)
- Suggested improvement: Adoption of rotating panel design in ASUSE similar to PLFS
A survey that provides estimates of the workforce, including employment and unemployment data. In the GDP series, it is used to estimate the number of workers for calculating household sector GVA.
Refers to the statistical framework and methods used to measure economic activity such as GDP and GVA. It includes data sources, estimation techniques, and sectoral classifications.
An indicator measuring the average economic output produced by each worker. It is used along with workforce estimates to calculate the contribution of the household sector to GVA.
A technique used to estimate real GVA by separately deflating output and intermediate consumption. This improves accuracy in measuring real economic growth.
The value of goods and services produced in an economy after subtracting the cost of inputs. It is used to assess sector-wise contribution to GDP.
The reference year used for calculating constant price estimates in the GDP series. It provides a benchmark for comparing economic growth over time.
The process of updating GDP estimates by changing the base year and improving methodology. It ensures more accurate and realistic measurement of the economy.
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