India’s Direct Benefit Transfer (DBT) Boosting Welfare Efficiency
India’s Direct Benefit Transfer (DBT) system has revolutionized the country’s approach to welfare delivery, enabling significant savings and improving the efficiency of government expenditure. Launched to reduce inefficiencies and plug leakages in subsidy disbursal, DBT has delivered impressive results over the years. According to a report by the BlueKraft Digital Foundation, the system has led to cumulative savings of ₹3.48 lakh crore from 2009 to 2024. At the same time, the number of beneficiaries has surged by 16 times, reflecting the widening reach of social programs. This article will explore the key findings of the report, highlighting the fiscal benefits, sector-specific impacts, and the introduction of the Welfare Efficiency Index (WEI) as a tool to measure DBT’s effectiveness.
Summary/Static | Details |
Why in the news? | India’s Direct Benefit Transfer (DBT) Boosting Welfare Efficiency |
Pre-DBT Era (2009–2013) | Subsidies 16% of expenditure, ₹2.1 lakh crore annually, with high leakages. |
Post-DBT Era (2014–2024) | Subsidies reduced to 9% of expenditure, beneficiaries increased by 16-fold from 11 crore to 176 crore. |
COVID-19 Impact | Temporary spike in subsidies in 2020-21, but long-term efficiency restored post-pandemic. |
Food Subsidies (PDS) | ₹1.85 lakh crore saved, 53% of total DBT savings, improved by Aadhaar-linked ration cards. |
MGNREGS | 98% of wages transferred on time, saving ₹42,534 crore. |
PM-KISAN | ₹22,106 crore saved by eliminating 2.1 crore ineligible beneficiaries. |
Fertilizer Subsidies | Savings of ₹18,699.8 crore from targeted disbursements. |
Correlation (Beneficiary Growth & DBT Savings) | Strong positive correlation (0.71) between increased beneficiaries and savings. |
Correlation (Subsidy Expenditure & Efficiency) | Negative correlation (-0.74) between subsidy expenditure and welfare efficiency, showcasing reduced waste and leakages. |
Welfare Efficiency Index (WEI) | Increased from 0.32 in 2014 to 0.91 in 2023, based on DBT savings, subsidy reduction, and beneficiary growth. |
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