The National Statistical Office (NSO) released the first advance estimates of the country’s Gross Domestic Product (GDP) for the fiscal year 2023-24, unveiling a growth projection of 7.3 per cent. However, the report highlighted discrepancies amounting to Rs 2.59 lakh crore in the computation of the GDP, underscoring the difference in national income calculated through various methods.
These discrepancies, as per the NSO, reduced from (-) Rs 3.80 lakh crore in 2022-23 and (-) Rs 4.47 lakh crore in 2021-22, signaling improvements in data alignment. Nevertheless, the sizable gap in the estimates for the current fiscal year still raised concerns among experts.
According to experts in the field, discrepancies in national accounts are not uncommon and often stem from delays in reporting data by diverse agencies, including state governments. They asserted that while these discrepancies are part of the process to report the most accurate data possible, there’s an ongoing effort by the government to mitigate these variations.
The calculations of GDP involve three primary methods—production, expenditure, and income. These methodologies, when not in complete alignment, can result in differences in the computed GDP figures, creating discrepancies in the statistical data.
The NSO’s initial estimates for this fiscal also indicated a growth rate of 6.9 per cent in the country’s gross value added (GVA), slightly lower than the 7 per cent recorded in 2022-23. Despite this, the GDP growth projection for the fiscal year at 7.3 per cent demonstrated an optimistic outlook compared to the previous year’s 7.2 per cent.
It’s essential to note that GDP is calculated as the sum of GVA and the net of taxes on products and subsidies, reflecting the overall economic health and performance of a nation.
The accuracy and reliability of national accounts are crucial for evidence-based policymaking and formulating strategies to steer the country’s economic trajectory. The NSO’s ongoing efforts to refine and align data sources underscore the importance of robust and precise data in shaping informed policies and economic decisions.
