The gap in manufacturing sector GVA

Indian Economy · 5 September 2026 · Based on The Hindu (original report)

2-minute summary

A significant discrepancy has emerged in India's manufacturing sector Gross Value Added (GVA) calculations for 2023-24. The official National Accounts Statistics (NAS) estimates the manufacturing GVA at ₹38.6 lakh crore (14.7% of GDP). However, an 'Alternative Estimate' (AE) combining data from the Annual Survey of Industries (ASI) for the formal sector and the Annual Survey of Unincorporated Sector Enterprises (ASUSE) for the informal sector yields only ₹27.4 lakh crore—a massive 40.9% gap. Even when validating these figures against employment data from the Periodic Labour Force Survey (PLFS) and accounting for 'residual workers' not captured in ASI/ASUSE, the potential GVA reaches only ₹31.0 lakh crore, still leaving a 24.5% shortfall compared to the official NAS figure. This divergence is primarily attributed to the NAS's reliance on the Ministry of Corporate Affairs' MCA-21 database, which uses corporate financial filings rather than physical, establishment-level factory surveys.

Why it's in the news

Recent analysis of the 2023-24 National Accounts Statistics (NAS) has highlighted a substantial 40.9% gap between official manufacturing GVA estimates and field-survey-based alternative estimates, triggering a debate on the reliability of India's GDP estimation methodology.

Background and context

In 2015, India revised its National Accounts base year to 2011-12. A key change was replacing the establishment-based Annual Survey of Industries (ASI) with the Ministry of Corporate Affairs' MCA-21 database to estimate corporate manufacturing GVA. While MCA-21 captures headquarter-level financial data, critics argue it includes shell or inactive companies, leading to overestimation. Conversely, the informal sector, which accounts for a small share of GVA but a massive share of employment, is captured via the Annual Survey of Unincorporated Sector Enterprises (ASUSE). The persistent divergence between corporate filing data (NAS) and physical enterprise surveys (ASI, ASUSE) raises concerns about data inflation and its impact on economic planning.

Committees and reports

Pronab Sen Committee on Economic Statistics — Constituted to review the quality and methodology of India's economic datasets, including industrial and employment statistics.

Previous UPSC questions on this theme

Mains GS-3 2020 — Define potential GDP and explain its determinants. What are the factors that have been inhibiting India from realizing its potential GDP?

Mains practice: Analyze the factors contributing to the divergence between the National Accounts Statistics (NAS) and survey-based estimates of India's manufacturing Gross Value Added (GVA). What are its implications for economic policymaking?

The divergence between the National Accounts Statistics (NAS) official manufacturing GVA (₹38.6 lakh crore) and the survey-based Alternative Estimate (₹27.4 lakh crore) for 2023-24 highlights critical methodological challenges in India's national income accounting.

**Factors Contributing to the Divergence:**

• **Database Divergence (MCA-21 vs. ASI):** The NAS relies heavily on the Ministry of Corporate Affairs' MCA-21 database, which captures consolidated headquarter-level financial filings of registered companies. In contrast, the Annual Survey of Industries (ASI) is establishment-based, capturing physical, factory-level production.

• **The Shell Company Inflation:** The MCA-21 database includes registered companies that may be inactive, non-operating, or shell companies. Estimating GVA based on these filings without physical verification can lead to overestimation compared to the physical audits of the ASI.

• **Under-coverage of the Informal Sector:** The unincorporated sector, surveyed by the Annual Survey of Unincorporated Sector Enterprises (ASUSE), contributes only 13.9% to manufacturing GVA but employs a vast workforce. Discrepancies in capturing these micro-units lead to statistical gaps.

• **Employment-Output Mismatch:** The Periodic Labour Force Survey (PLFS) captures 697.5 lakh manufacturing workers, while ASI and ASUSE together account for only 532.9 lakh. Even when estimating the potential GVA of these 'residual' workers, a 24.5% gap remains, indicating that NAS may be overestimating corporate productivity.

**Implications for Economic Policymaking:**

• **Flawed Policy Design:** Overestimating manufacturing GVA can mask underlying distress in the sector, leading to premature policy tightening or inadequate support for MSMEs.

• **Jobless Growth Paradox:** The gap explains the apparent paradox of high manufacturing growth alongside stagnant employment generation, as GVA growth may be statistically inflated.

• **Credibility Deficit:** Persistent data discrepancies erode the credibility of India's macroeconomic indicators among global investors and multilateral institutions.

**Conclusion:**

To restore data integrity, the National Statistical Office (NSO) must reconcile MCA-21 data with physical GST and tax filings, conduct regular census-level surveys of unincorporated enterprises, and strengthen institutional oversight under the National Statistical Commission.

Prelims practice questions

Q1. With reference to India's national income accounting, consider the following statements: 1. The Annual Survey of Industries (ASI) covers both registered factories and unincorporated household enterprises. 2. The National Accounts Statistics (NAS) uses the MCA-21 database of the Ministry of Corporate Affairs to estimate corporate manufacturing GVA. Which of the statements given above is/are correct?

1 only
2 only
Both 1 and 2
Neither 1 nor 2

Answer: B. Statement 1 is incorrect because the ASI only covers the registered factory sector (formal/organised sector). Unincorporated household enterprises are covered by the Annual Survey of Unincorporated Sector Enterprises (ASUSE). Statement 2 is correct as the NAS transitioned to using the MCA-21 database starting with the 2011-12 base year revision.

Q2. Which of the following organizations is responsible for conducting the Periodic Labour Force Survey (PLFS) and compiling the National Accounts Statistics in India?

NITI Aayog
Labour Bureau
Office of the Economic Adviser (OEA)
National Statistical Office (NSO)

Answer: D. The National Statistical Office (NSO), under the Ministry of Statistics and Programme Implementation (MoSPI), is responsible for conducting the PLFS as well as compiling the National Accounts Statistics (NAS) and GVA/GDP estimates.

Q3. In the context of Indian economic statistics, what does the 'MCA-21' database primarily represent?

A census of agricultural landholdings across states.
A database tracking microfinance beneficiaries in rural areas.
An online portal capturing annual statutory financial filings of registered companies.
A registry of patent applications filed under the Indian Patents Act.

Answer: C. MCA-21 is an e-governance initiative of the Ministry of Corporate Affairs that captures annual statutory financial filings, balance sheets, and profit-loss statements of registered companies in India.

Revision flashcards

What is the difference between ASI and ASUSE in terms of coverage? ASI (Annual Survey of Industries) covers the formal/organised factory sector (registered units with 10+/20+ workers). ASUSE (Annual Survey of Unincorporated Sector Enterprises) covers the informal/unincorporated sector (small workshops and household units).
Why did the National Accounts Statistics (NAS) shift to using the MCA-21 database? The shift occurred during the 2011-12 base year revision to capture the financial performance of the corporate sector more comprehensively at the enterprise level, rather than relying solely on establishment-level ASI data.
What is the 'GAP' identified in the 2023-24 manufacturing GVA estimates? A 40.9% discrepancy between the official NAS estimate (₹38.6 lakh crore) and the Alternative Estimate derived from ASI and ASUSE surveys (₹27.4 lakh crore).
How does the Periodic Labour Force Survey (PLFS) expose the gap in manufacturing GVA? PLFS reports 697.5 lakh manufacturing workers, but ASI and ASUSE only account for 532.9 lakh. Even when adding the potential GVA of the 164.6 lakh 'residual workers', the total still falls 24.5% short of the official NAS GVA.
What is the primary risk of relying on MCA-21 data for GDP calculation without physical verification? It risks inflating GVA estimates by including inactive or shell companies that file financial returns but do not have active physical manufacturing operations.