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UPSC MainsGeneral Studies Paper IIGovernancePractice question

Direct Benefit Transfer in Welfare Delivery

Reforming the government delivery system through the Direct Benefit Transfer scheme is a progressive step, but it has its limitations too. Comment.

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How to approach

Begin by defining Direct Benefit Transfer (DBT) and highlighting its scale and constitutional linkage under Article 38. Then, examine how DBT serves as a progressive step in welfare delivery through fiscal discipline and targeted transfers, followed by a detailed critique of structural and technical limitations. Conclude with constructive reforms (DBT 2.0) to make digital welfare delivery inclusive.

Model answer

451 words

Introduction

Direct Benefit Transfer (DBT) represents a paradigm shift in Indian public delivery, leveraging the JAM (Jan Dhan-Aadhaar-Mobile) trinity to transfer subsidies directly into beneficiaries' bank accounts. Advancing the constitutional mandate under Article 38 of a welfare state, DBT has cumulatively transferred over ₹43 lakh crore by 2024, saving approximately ₹3.48 lakh crore by de-duplicating records and eliminating ghost beneficiaries.

A Progressive Step in Governance

DBT has fundamentally re-engineered the mechanics of social protection in India:

  • Fiscal Prudence and Rationalisation: Subsidy expenditure dropped from nearly 16% of total government expenditure prior to 2013 to approximately 9% by 2024 without scaling back welfare coverage, driven by precise de-duplication in programmes like PAHAL and the Public Distribution System (PDS).
  • Direct Citizen Empowerment: By facilitating real-time Government-to-Person (G2P) transfers in schemes like PM-KISAN and MGNREGA, DBT has significantly reduced institutional delays and enhanced rural formal financial inclusion.
  • Dismantling Intermediaries: Direct digital credits bypass administrative gatekeepers and rent-seeking intermediaries who historically siphoned off welfare outlays.

Inherent Limitations and Structural Challenges

While conceptually progressive, DBT often shifts the operational burden of state deficiencies onto vulnerable citizens:

  • Technological Exclusion Errors: Biometric authentication failures—such as worn-out fingerprints of manual labourers or elderly citizens—along with server downtimes and Aadhaar-seeding discrepancies, lead to wrongful denial of entitlements. In the Puttaswamy judgment (2018), the Supreme Court specifically cautioned that technical failures must not be used to deprive the marginalised of basic social safety nets.
  • The 'Cash-Out' Friction: Funds deposited in bank accounts require physical withdrawal to be useful. Due to sparse rural bank branch networks, citizens depend heavily on Business Correspondents (BCs) and often incur substantial travel costs and daily wage losses just to withdraw their transfers.
  • Evolution of Sub-Surface Corruption: While DBT curbed leakages prior to the transfer stage, corrupt practices have migrated downstream. Common issues include Business Correspondents skimming unauthorized withdrawal commissions and local elites retaining custody of vulnerable beneficiaries' ATM cards and passbooks.
  • Algorithmic Apathy and Redressal Deficits: Erroneous algorithmic de-activations often leave illiterate citizens with opaque, online-only grievance mechanisms that offer no realistic avenue for immediate administrative rectification.

Way Forward

To realise an inclusive welfare architecture, DBT frameworks must evolve into a flexible 'DBT 2.0':

  • Multi-Modal Authentication: Deploying non-invasive alternatives like iris, facial recognition, and smart cards to eliminate biometric rejection.
  • Physical Redressal Infrastructure: Establishing decentralised, block-level offline ombudsman cells to address payment disruptions without technical bottlenecks.
  • Decentralised Last-Mile Banking: Scaling up doorstep banking initiatives, such as Odisha's 'Ama Bank' model that provides brick-and-mortar financial services across unbanked Gram Panchayats.

Conclusion

Technology in public service delivery must act as an enabler rather than an exclusionary barrier. Making Direct Benefit Transfer truly progressive requires complementing digital precision with robust offline safety nets, accountable last-mile banking, and accessible grievance redressal.

Key facts to remember

statistic

Cumulative transfers under the DBT framework crossed ₹43 lakh crore by 2024, producing estimated fiscal savings of ₹3.48 lakh crore through the elimination of fake and ghost beneficiaries.

— Union Ministry of Finance
case study
Puttaswamy Judgment (2018) on Welfare Access

The Supreme Court ruled that technological failures such as biometric mismatches or connectivity issues must not be made a reason to deprive citizens of their constitutionally guaranteed basic food and social welfare rights.

example
Odisha's 'Ama Bank' Model

The Odisha state government launched 'Ama Bank' to establish physical, accessible banking touchpoints across all unbanked Gram Panchayats, directly resolving the cash-out friction experienced by rural DBT recipients.

Frequently asked questions

How does DBT cause welfare exclusion errors?

Exclusion errors in DBT occur primarily due to biometric mismatches from fading fingerprints, data entry errors in Aadhaar-bank account linking, and connectivity failures at rural point-of-sale machines.

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