Explain the difference between computing methodology of India's Gross Domestic Product (GDP) before the year 2015 and after the year 2015.

In 2015, the Central Statistics Office (CSO) under the Ministry of Statistics and Programme Implementation (MoSPI) comprehensively revised the methodology for calculating India’s Gross Domestic Product (GDP). This revision was undertaken to capture structural changes in the economy and align India’s national accounts with the global best practices outlined in the UN System of National Accounts (SNA) 2008.

Differences in Computing Methodology (Pre-2015 vs. Post-2015)

1. Shift in the Headline Measure of Growth

• Before 2015: The headline growth rate was measured by GDP at Factor Cost. This represented the total cost of production (rent, wages, interest, and profit) and excluded indirect taxes and subsidies.
• After 2015: The headline measure became GDP at Constant Market Prices. This reflects what consumers actually pay and is calculated as: GDP = Gross Value Added (GVA) at Basic Prices + Product Taxes – Product Subsidies. This shifted the focus from the producer’s cost to the consumer’s purchasing price, facilitating easier international comparisons.

2. Change in the Base Year

• Before 2015: The base year for macroeconomic aggregates was 2004-05.
• After 2015: The base year was updated to 2011-12 to more accurately reflect the contemporary economic structure, relative prices, and consumption patterns.

3. Introduction of GVA at Basic Prices

• Before 2015: Sectoral output was measured using GDP at Factor Cost.
• After 2015: Sectoral contribution is now measured using Gross Value Added (GVA) at Basic Prices. Basic price includes production taxes (like stamp duty, property tax) but excludes production subsidies, giving a more accurate picture of the revenue realized by producers.

4. Data Sources: Shift from Volume to Value Addition

• Before 2015: Manufacturing and corporate growth was estimated primarily using the Annual Survey of Industries (ASI) and the Index of Industrial Production (IIP). This approach was establishment-based (factory level) and highly volume-centric.
• After 2015: The methodology shifted to an enterprise-based approach using the Ministry of Corporate Affairs’ MCA-21 database. This database captures the audited financial results of lakhs of companies. It accounts for value addition at the corporate level (such as marketing, R&D, and headquarters operations) rather than merely measuring factory output.

5. Broadening of Sectoral Coverage

• Financial Sector: The pre-2015 methodology had a narrow definition of the financial sector. The new methodology comprehensively includes stockbrokers, mutual funds, pension funds, and regulatory bodies (like SEBI, PFRDA).
• Unorganized Sector: The measurement of the informal/unorganized sector was refined by replacing the labor-input method with the Effective Labour Input (ELI) method, which weights different categories of workers based on their productivity.
• Agriculture: The scope was expanded to better capture value addition in livestock, meat products, and forestry.

Significance of the Post-2015 Methodology

• Global Parity: It brought India’s macroeconomic accounting on par with the IMF, World Bank, and UN SNA-2008 guidelines.
• Holistic Economic Picture: By shifting from the ASI to MCA-21, the new series captures the formalization of the economy and the value generated beyond the factory floor, particularly in the fast-growing corporate service sector.

Challenges and Criticisms of the New Methodology

• Database Discrepancies: The National Sample Survey Office (NSSO) highlighted that a significant percentage of companies in the MCA-21 database were either untraceable or dormant ("shell companies"), potentially inflating growth figures.
• Deflator Issues: The heavy reliance on the Wholesale Price Index (WPI) rather than the Consumer Price Index (CPI) as a deflator for the manufacturing and services sectors has been criticized. During periods of low WPI (e.g., due to a crash in global oil prices), real GDP can appear artificially inflated.
• Overestimation Debate: Various economists have argued that the new methodology overestimates GDP growth, pointing to a divergence between high GDP growth numbers and sluggish high-frequency indicators like bank credit growth, auto sales, and investment rates.

Conclusion The 2015 methodological revision was a necessary modernization of India's statistical framework, providing a more comprehensive measure of value addition across the economy. However, as the economic structure has further transformed due to digitalization, formalization, and the pandemic, there is a pressing need to update the base year to 2022-23 and refine data collection mechanisms to ensure policy formulation is backed by robust, irreproachable macroeconomic data.