INDIA’S DIRECT BENEFIT
TRANSFER: ECONOMY
NEWS: As governments around
the world reevaluate their social protection systems, India's Direct Benefit
Transfer (DBT)
WHAT’S IN THE NEWS?
India’s Direct Benefit Transfer
(DBT) system, built on the JAM trinity, has saved ₹3.48 lakh crore by reducing
leakages in welfare schemes, becoming a global model for efficient, inclusive
governance.
Context and Global Relevance
- India’s
Direct Benefit Transfer (DBT) framework is drawing international attention
for its success in reforming welfare delivery and optimizing fiscal
efficiency.
- Governments
across the world are studying the Indian DBT model as they look to
restructure their own social protection systems.
What is the Direct Benefit Transfer (DBT) System?
- Launched
on January 1, 2013, the DBT system was introduced to transform the way
subsidies and welfare benefits are delivered to citizens.
- The
primary goals include streamlining administrative processes, reducing
leakages and fraud, improving the accuracy of beneficiary targeting, and
ensuring timely delivery of funds.
- Initially
managed by the Planning Commission, the DBT Mission was moved to the
Cabinet Secretariat in 2015 to enhance coordination and accountability.
- The
backbone of DBT is built on the JAM Trinity — Jan Dhan bank
accounts, Aadhaar biometric identification, and Mobile phones,
which together ensure digital, traceable, and efficient fund transfers.
Scope and Reach of DBT
- The
DBT mechanism is used for distributing funds across a wide range of
government welfare schemes, including scholarships, pensions, LPG and
food subsidies, wages (like MGNREGS), and cash benefits like PM-KISAN.
- DBT’s
integration with the Digital India Programme has expanded its
technological capacity, enabling faster rollout of new schemes and
improved grievance redressal mechanisms.
- The
system aligns with the principle of "minimum government, maximum
governance" by reducing bureaucratic delays and direct physical
handling of cash.
Progress and Achievements of DBT
- The
DBT system has led to estimated fiscal savings of ₹3.48 lakh crore
by reducing inefficiencies, removing duplicate or fake beneficiaries, and
minimizing leakages.
- The Welfare
Efficiency Index (WEI) has improved significantly, reflecting better
targeting and coverage with fewer administrative costs.
- Overall
government subsidy expenditure reduced from 16% to 9% of the total
budget, while the number of beneficiaries surged from 11 crore to 176
crore over a decade.
Sector-wise Analysis of DBT Impact
- Aadhaar-based
authentication helped eliminate fake and duplicate ration cards.
- Resulted
in savings of ₹1.85 lakh crore, which is 53% of total DBT savings.
- MGNREGS
(Mahatma Gandhi National Rural Employment Guarantee Scheme):
- About
98% of wages are now transferred directly to workers’ bank
accounts.
- Ensured
real-time accountability and saved ₹42,534 crore in wage
disbursement errors and fraud.
- DBT
helped identify and remove 2.1 crore ineligible farmers, ensuring
more accurate targeting.
- Led
to ₹22,106 crore in savings by preventing undue benefits.
- Through
real-time point-of-sale tracking and Aadhaar validation, sales of 158
lakh metric tonnes (MT) of fertiliser were optimized.
- Resulted
in ₹18,699.8 crore in savings by reducing diversion and overuse.
Challenges Facing DBT Implementation
- Beneficiary
Identification Issues:
- Errors
in Aadhaar seeding and demographic mismatches sometimes lead to exclusion
of legitimate beneficiaries.
- Biometric
Authentication Failures:
- Fingerprint
mismatches, especially among the elderly and manual labourers, cause
transaction failures.
- Limited
Banking and Digital Infrastructure in Rural Areas:
- Many
remote areas still lack sufficient access to functional bank branches,
ATMs, and internet connectivity.
- A
significant portion of rural beneficiaries are not digitally literate,
leading to misuse or underutilization of benefits.
- Complex
and Overlapping Subsidy Structures:
- The
coexistence of multiple welfare schemes with overlapping objectives can
cause confusion and administrative burden.
Suggestions and the Way Forward
- Improve
Data Accuracy and Authentication:
- Enhance
database integration across departments to eliminate Aadhaar mismatches
and false exclusions.
- Expand
Rural Banking Infrastructure:
- Increase
the number of banking correspondents, mobile ATMs, and digital service
centers in underserved areas.
- Enhance
Digital Infrastructure and Connectivity:
- Provide
stable internet connectivity in rural areas to support DBT platforms and
e-governance tools.
- Promote
Digital and Financial Literacy:
- Launch
targeted campaigns to educate beneficiaries about their rights, the use
of DBT platforms, and how to lodge complaints.
- Customize
DBT for Local Conditions:
- Introduce
region-specific DBT models to address the socio-economic and geographic
needs of diverse populations.
Conclusion
- India’s
DBT system has become a global model for welfare delivery by aligning
fiscal prudence with inclusive governance.
- While
the system has proven its capability in improving transparency and
reducing corruption, continuous refinement is essential to overcome
infrastructure gaps and ensure that no deserving beneficiary is left
behind.
Source: https://educationpost.in/news/education/current-affairs/social-issues/as-governments-around-the-world-reevaluate-their-social-protection-systems-indias-direct-benefit-transfer-dbt