The Union Government recently sanctioned only ₹260 crore in disaster relief to Kerala following the Wayanad landslides of July 2024, despite the State’s estimated losses of ₹2,200 crore.
This stark disparity has reignited debates about the weakening of cooperative federalism and the increasing centralisation of disaster-risk finance in India.
India’s Current Disaster-Financing Framework
15th Finance Commission (2021–26)
The 15th Finance Commission expanded India’s disaster-financing architecture beyond the traditional relief-only funds: the National Disaster Response Fund (NDRF) and State Disaster Response Fund (SDRF), created under the Disaster Management Act, 2005.
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It recommended the creation of separate mitigation funds at both central and state levels, leading to the National Disaster Risk Management Fund (NDRMF) and State Disaster Risk Management Funds (SDRMF).
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These funds integrate relief and mitigation into a unified disaster-risk management framework.
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Allocation of disaster-management funds is primarily based on population, total geographical area, and historical spending trends.
State Disaster Response Fund (SDRF)
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Provides immediate relief such as food, shelter, medical aid, and compensation.
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Funding ratio: 75:25 for general states; 90:10 for Northeast and Himalayan states.
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Covers notified disasters like floods, cyclones, earthquakes, and landslides.
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States can use up to 10% for local disasters as per state-defined norms.
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The central contribution is released in two equal installments annually.
National Disaster Response Fund (NDRF)
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Supplements SDRF when a disaster is declared “severe” and SDRF funds are insufficient.
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Fully funded by the Central Government.
National and State Disaster Risk Management Funds (NDRMF & SDRMF)
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The National Disaster Mitigation Fund (NDMF) was established in 2021, with all states (except Telangana) setting up SDMF.
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Centre contributes 75% for general states and 90% for North-Eastern and Himalayan states.
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These funds support mitigation projects like flood control, landslide prevention, and seismic safety.
Concerns with India’s Disaster-Financing Framework
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Widening Union–State Fiscal Asymmetry: States often receive far less than reported losses, weakening cooperative federalism.
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Outdated Relief Norms: Compensation (e.g., ₹4 lakh per life lost, ₹1.2 lakh for fully damaged houses) has not kept pace with inflation.
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Ambiguous ‘Severe Disaster’ Classification: Lack of clarity in the Disaster Management Act, 2005 creates scope for discretionary approvals.
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Procedural Delays: Multiple approvals slow down fund release, as seen in delayed classification of Wayanad landslides.
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Distorted Allocation: Finance Commission allocations based on population and area, not hazard exposure, and misinterpretation of committed SDRF funds.
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Inadequate Local Capacity: Many DDMAs and urban bodies lack staff, GIS tools, and planning capacity.
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Centralisation Trends: Increasing reliance on conditional approvals indicates a shift away from cooperative federalism.
Disaster Risk Financing Across the Globe
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United States: Uses data-driven triggers like per-capita damage thresholds for automatic federal aid.
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Mexico: Funds released automatically when hazard thresholds (rainfall, wind speed) are crossed.
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Philippines: Activates Quick Response Funds using rainfall and fatality indices.
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African & Caribbean Risk Insurance Pools: Use parametric insurance powered by satellite data.
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Australia: Links federal assistance to state relief expenditure as a share of revenue.
Recommended Reforms for India
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Objective, Rule-Based Triggers: Automatic fund release based on rainfall intensity, crop loss, fatalities, or loss-to-GSDP, supported by a Disaster Risk Index.
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Expand Hazard Coverage: Include landslides, cloudbursts, avalanches, and pest attacks; promote parametric insurance and regional risk pools.
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Update Relief Norms: Revise compensation amounts for death, house damage, and livelihood loss to match current costs.
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Strengthen Federal Balance: Ensure timely, transparent, and predictable NDRF/SDRF allocations, avoiding conditional releases.
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Improve Finance Commission Criteria: Replace population-based allocations with scientific multi-hazard vulnerability indices, GIS risk maps, and climate exposure data.
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Enhance Local-Level Capacity: Strengthen DDMAs, urban local bodies, and panchayats with trained staff, GIS tools, fire services, and emergency operation centers.
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Expand SDMF/NDMF Utilisation: Support flood protection, slope stabilization, cyclone shelters, early-warning systems, and resilient infrastructure.
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Scale-Up Local Volunteer Networks: Programs like Aapda Mitra can strengthen first response and last-mile disaster governance.
Conclusion
India’s disaster-financing system faces growing strain, with widening gaps between assessed losses and central aid, weakening cooperative federalism. As climate shocks intensify, a predictable, rules-based, and equitable funding framework is essential to protect states and citizens during future disasters.