Explain the difference between computing methodology of India's gross domestic product (GDP) before the year 2015 and after the year 2015.

GS310 Marks2021Model answer

Introduction

The methodology for computing India's GDP underwent a significant revision in 2015, aligning it with international standards such as the System of National Accounts (SNA), 2008 recommended by the United Nations. This shift aimed to enhance the accuracy, transparency, and comparability of India's economic data.

Key Changes in GDP Computing Methodology (Pre-2015 vs. Post-2015)

Aspect	Pre-2015 Methodology	Post-2015 Methodology
Base Year	2004-05	2011-12
Price Basis	GDP calculated at factor cost (sum of costs of production).	GDP calculated at market prices (includes taxes and excludes subsidies).
Data Sources	Relied on IIP (Index of Industrial Production) and outdated surveys.	Uses MCA-21 database (Ministry of Corporate Affairs) and updated surveys.
Sectoral Coverage	Limited coverage of informal and service sectors.	Broader coverage, including unorganized sectors and financial services.
Deflator	Wholesale Price Index (WPI) used as the deflator.	Consumer Price Index (CPI) used as the deflator, reflecting consumer-level inflation.
International Standards	Based on SNA 1993 guidelines.	Aligned with SNA 2008 guidelines.

Rationale for the Changes

Improved Accuracy: The use of the MCA-21 database provides granular data on corporate performance, replacing outdated proxies.
Global Comparability: Transition to GDP at market prices aligns India’s methodology with global practices, facilitating international comparisons.
Reflecting Structural Changes: The new base year (2011-12) captures the evolving structure of the Indian economy, including the growing contribution of services and informal sectors.

Implications of the Revised Methodology

Positive Impacts

Higher GDP Estimates: The shift to market prices and broader data sources resulted in higher GDP figures, reflecting a more comprehensive economic activity.
Policy Relevance: The use of CPI as a deflator makes GDP estimates more relevant for policy formulation, especially in inflation targeting.

Criticisms and Challenges

Data Reliability: Dependence on the MCA-21 database has been questioned due to incomplete and inconsistent filings by companies.
Exclusion of Factor Cost: Critics argue that GDP at market prices may not fully reflect the cost of production, especially in sectors with high subsidies.

Value Addition Block — Key Dimensions of GDP Methodology Change

Way Forward

Strengthening Data Sources: Improve the MCA-21 database by ensuring timely and accurate filings by companies.
Periodic Updates: Revise the base year more frequently to reflect structural changes in the economy.
Transparency: Enhance public understanding of GDP methodology through regular disclosures and independent audits.

Conclusion

The 2015 revision of India's GDP methodology marked a significant step towards aligning with global standards and improving data accuracy. However, addressing challenges like data reliability and ensuring periodic updates will be crucial to maintaining the credibility and relevance of GDP estimates. This will enable better policymaking and foster trust in India's economic statistics.

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