16th Finance Commission on Disaster Funding: Strengthening India’s Fiscal Resilience

Context: Despite being India’s most disaster-vulnerable state, Odisha has faced the largest reduction in disaster funding share due to a flawed allocation metric adopted by the 16th Finance Commission.

16th Finance Commission on Disaster Funding

• The 16th Finance Commission (FC) increased the State Disaster Response Fund (SDRF) corpus by nearly 60%, reaching ₹2,04,401 crore. To distribute this, it shifted from an “additive” approach to a multiplicative Disaster Risk Index (DRI):

DRI = Hazard * Exposure * Vulnerability

• The Intent: Risk only exists when a hazard (like a cyclone) intersects with people (exposure) who lack the means to cope (vulnerability).

Also Read: Finance Commission 2026 Report

Flaws in the 16th Finance Commission’s Disaster Allocation Formula

• Conflating Population with Exposure: By using the total state population as a proxy, the formula treats all citizens as equally at risk.
  • This mathematically favours populous, topographically “safe” inland states over smaller states where the entire population is concentrated in high-risk coastal or hilly belts.
• Income as a False Proxy for Resilience: Using per capita NSDP (Net State Domestic Product) measures a state’s fiscal capacity rather than its physical vulnerability. High-income states (like Kerala) remain physically susceptible to extreme climate events but are penalised with lower vulnerability scores due to their relative wealth.
• The “Multiplicative Trap”: Because the formula is multiplicative, a low score in any one category (specifically demographic size) drastically pulls down the total. This allows states with lower hazards but massive populations to “out-score” states facing the highest actual risks.
• Invisibility of Multi-dimensional Fragility: The formula overlooks non-monetary factors like the share of kutcha housing, density of health infrastructure in hazard zones, and tribal marginalisation.
• Disincentivising Disaster Investment: States like Odisha, which have spent decades building “near-zero mortality” infrastructure (cyclone shelters, early warning systems), are seeing their funding slashed.
  • The formula effectively prioritises “headcounts” over the actual intensity and frequency of the hazards a state must manage.

Suggested Measures for a Risk-Based Future

• Refining ‘Exposure’: Move away from the total population to the hazard-zone population. This can be achieved by cross-referencing the BMTPC Vulnerability Atlas with Census enumeration blocks to count only those living in floodplains or earthquake zones.
• Composite Vulnerability Index: Replace per capita income with a multidimensional index. This should include: Share of kutcha housing (temporary structures), Density of health infrastructure in high-hazard districts, Crop insurance penetration and early warning reach.
• Institutionalizing Data: The National Disaster Management Authority (NDMA) should be mandated to publish an annual State Disaster Vulnerability Index. This would provide a standardised, scientific input for future Finance Commissions, ending the reliance on “contested metrics.”

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