Context:
- The Ministry of Statistics and Programme Implementation (MoSPI) has decided not to use UPI transaction data in calculating GDP under the revised national accounts series.
- The decision was based on concerns regarding data instability and lack of item-level classification for consumption estimates.
Key Highlights:
Decision by Statistical Authorities
- A sub-committee of the Advisory Committee on National Accounts Statistics (ACNAS) found UPI data premature for GDP estimation.
- The data was explored primarily to improve estimation of Private Final Consumption Expenditure (PFCE).
Data Limitations
- UPI transactions often fall under broad merchant categories.
- For instance, “Grocery Stores and Supermarkets” account for about 25% of person-to-merchant transaction volume and 9% of value, but lack item-level classification.
GDP Revision Timeline
- The new GDP series with base year 2022-23 will release estimates for October–December 2025 and the second advance estimate for FY 2025-26.
• India last revised its GDP base year in 2015.
Challenges in Consumption Measurement
- UPI data remains unstable as a large portion of the population still relies on cash transactions.
• Current PFCE estimation relies on sectoral indicators from production-side data due to the absence of reliable consumption data.
Relevant Prelims Points:
- GDP (Gross Domestic Product)
- Total monetary value of goods and services produced within a country in a given period.
- Methods of GDP Calculation
- Production (Value Added) Method
- Income Method
- Expenditure Method
- Private Final Consumption Expenditure (PFCE)
- Measures household expenditure on goods and services.
- Constitutes over half of India’s GDP.
- UPI (Unified Payments Interface)
- Developed by the National Payments Corporation of India (NPCI).
- Enables instant real-time bank transfers via mobile platforms.
- MoSPI
- Responsible for statistical data collection and national accounts compilation.
Relevant Mains Points:
Importance of Accurate Consumption Data
- Household consumption drives economic demand and growth in India.
- Reliable PFCE estimates are crucial for economic policy, fiscal planning, and inflation analysis.
Digital Data in Economic Statistics
- Digital transaction data such as UPI offers high-frequency insights into economic activity.
- However, statistical systems must ensure data stability, representativeness, and item classification.
Challenges in Data Integration
- Informal sector dominance and continued reliance on cash reduce the completeness of digital transaction datasets.
- Over-reliance on incomplete data could distort macroeconomic estimates.
Way Forward
- Develop better classification systems for digital payment transactions.
- Increase financial digitalization and data coverage.
- Combine digital payment data with survey-based consumption datasets for improved GDP measurement.
UPSC Relevance:
- GS Paper 3 – Economy: National income accounting and digital economy.
- GS Paper 2 – Governance: Data governance and statistical policy.