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1 Apr 2026·Source: The Hindu
4 min
RS
Ritu Singh
|South India
Polity & GovernanceEnvironment & EcologyEDITORIAL

Flawed Finance Commission Formula Undermines Disaster Funding

The 16th Finance Commission's disaster funding formula wrongly uses total state population for risk assessment, penalizing high-risk but less populous states like Odisha.

UPSCSSC

Quick Revision

1.

Odisha is one of India’s most disaster-prone States.

2.

The 16th Finance Commission adopted a multiplicative Disaster Risk Index (DRI), calculated as Hazard X Exposure X Vulnerability.

3.

The 15th Finance Commission used an additive approach for hazard and vulnerability.

4.

The IPCC’s Sixth Assessment Report defines Exposure as the presence of people in places that could be adversely affected by hazards.

5.

Vulnerability is multidimensional, encompassing housing quality, health infrastructure, and early warning reach.

6.

Climate projections indicate intensifying cyclone frequencies, expanding drought belts, and escalating extreme rainfall across India.

Key Dates

2018 (Kerala floods)

Key Numbers

@@₹2,04,401 crore@@ (allocated to SDRF by 16th FC)@@59.5%@@ (increase in SDRF allocation over 15th FC)@@1.57 percentage points@@ (Odisha's reduction in funding share)@@12@@ (Odisha's hazard score)@@5@@ (Odisha's population score)@@79.8@@ (Odisha's computed DRI)@@224.2@@ (Bihar's computed DRI)@@413.2@@ (Uttar Pradesh's computed DRI)@@₹31,000 crore@@ (damages from Kerala's 2018 floods)@@1.073@@ (Kerala's vulnerability score)@@4@@ (Kerala's population score)@@34.5@@ (Kerala's computed DRI)@@0.78 percentage points@@ (Jharkhand's funding share loss)@@20@@ (number of states that lost relative share)

Visual Insights

16th Finance Commission Recommendations for SDRF

Key financial figures recommended by the 16th Finance Commission for the State Disaster Response Funds (SDRF).

Recommended SDRF Corpus (2026-31)
₹2,04,401 crore

This figure represents the total recommended fund for disaster management by states, indicating the scale of financial commitment.

Cost-Sharing Ratio (General States)
75:25 (Centre:State)

This ratio dictates the contribution from the Central and State governments for most states, highlighting the shared responsibility.

Cost-Sharing Ratio (Special Category States)
90:10 (Centre:State)

A higher Centre share for special category states reflects their unique challenges and needs in disaster management.

States Facing High Disaster Risk vs. Population Density

This map highlights states with historically high disaster vulnerability (e.g., Odisha, Kerala) and contrasts them with populous states, illustrating the core of the critique regarding the 16th Finance Commission's DRI formula.

Loading interactive map...

📍Odisha📍Kerala📍Uttar Pradesh📍Maharashtra

Mains & Interview Focus

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The 16th Finance Commission's approach to allocating State Disaster Response Funds (SDRF) represents a critical misstep in India's disaster preparedness strategy. By adopting a multiplicative Disaster Risk Index (DRI) that uses total population as a proxy for 'Exposure', the Commission fundamentally misunderstands the nature of disaster risk. This administratively convenient shortcut directly contradicts the IPCC's definition of exposure, which correctly focuses on populations within defined hazard zones, not merely demographic size.

This flawed methodology disproportionately penalizes states like Odisha and Kerala, which, despite having high hazard scores and significant investments in disaster mitigation, possess smaller populations or higher per capita incomes. Consequently, populous states with lower actual disaster risk receive a larger share of funds. Such an allocation mechanism undermines the very purpose of a risk-based framework, leaving genuinely vulnerable regions under-resourced and less resilient to impending climate shocks.

Effective disaster finance demands a scientifically robust approach. Exposure must be measured by population density in specific hazard zones—flood plains, cyclone-prone coasts, earthquake-susceptible areas—utilizing granular data from sources like the BMTPC Vulnerability Atlas and Census enumeration blocks. Similarly, vulnerability requires a multi-dimensional index, incorporating factors beyond mere fiscal capacity, such as housing quality, health infrastructure in high-risk areas, and the efficacy of early warning systems, drawing on data from NFHS-5, PMFBY, and IMD records.

To rectify this, the Finance Commission should mandate the National Disaster Management Authority (NDMA) to develop and publish an annual State Disaster Vulnerability Index. This would institutionalize a transparent, data-driven methodology, ensuring that future SDRF allocations accurately reflect actual disaster risk. Without such a fundamental recalibration, India risks exacerbating regional disparities in disaster resilience, a perilous outcome given the escalating frequency and intensity of extreme weather events.

Editorial Analysis

The author argues that the 16th Finance Commission's new Disaster Risk Index (DRI) formula for State Disaster Response Funds (SDRF) allocation is fundamentally flawed. This is because it uses total population as a proxy for 'Exposure' and per capita Net State Domestic Product (NSDP) for 'Vulnerability'. This approach disproportionately penalizes disaster-prone but less populous states, undermining effective disaster finance.

Main Arguments:

  1. The 16th Finance Commission's allocation of ₹2,04,401 crore to SDRF, representing a 59.5% increase, is based on a new multiplicative Disaster Risk Index (DRI = Hazard X Exposure X Vulnerability). While theoretically sound in treating hazard and vulnerability as complements, its operationalization is incorrect and leads to misallocation.
  2. The measurement of 'Exposure' is flawed as it uses a state's total population, scaled linearly, instead of the population within defined hazard zones. This administratively convenient method is scientifically indefensible, as a state with a large total population but low hazard-zone population would receive more funds than a state with a smaller total population but high hazard-zone population.
  3. Odisha, despite having the highest hazard score of 12 and significant investments in preparedness, faces the single largest reduction in disaster funding share (1.57 percentage points) because its population score is only 5. Its computed DRI of 79.8 is overshadowed by populous states like Bihar (224.2) and Uttar Pradesh (413.2) which have lower hazard scores.
  4. The measurement of 'Vulnerability' is also flawed, using average per capita NSDP inverted. While intended to reflect fiscal capacity, it fails to capture multidimensional vulnerability (housing quality, health infrastructure, early warning reach). Kerala, despite suffering ₹31,000 crore damages in 2018 floods, gets a low vulnerability score (1.073) due to its relatively high per capita income.
  5. The current formula disproportionately affects 20 states, which lose relative share not because they are safer, but because they are smaller, wealthier on average, or both. This contradicts the goal of a risk-based allocation framework and undermines disaster preparedness in vulnerable regions.

Conclusion

India cannot afford to get disaster finance wrong, especially with intensifying climate change impacts. The current formula, which measures total population rather than exposed population, is merely a headcount, not a true risk index, and will lead to critical resource misallocation.

Policy Implications

Exposure should be measured as the number of people living within defined hazard zones, utilizing data like the BMTPC Vulnerability Atlas cross-referenced with Census enumeration block data. Vulnerability needs reconstitution as a composite index, incorporating factors such as kutcha housing, agricultural labour dependence, health infrastructure density in high-hazard districts, and early warning effectiveness, drawing from data sources like NFHS-5, PMFBY, NHM, and IMD records. The Finance Commission must mandate the National Disaster Management Authority (NDMA) to publish an annual State Disaster Vulnerability Index to institutionalize a scientifically sound methodology.

Exam Angles

1.

GS Paper II: Governance - Allocation of financial resources, role of Finance Commission, disaster management policies.

2.

GS Paper I: Society - Impact of disasters on vulnerable populations, socio-economic factors influencing vulnerability.

3.

Current Affairs: Recent recommendations of Finance Commissions and their implications for federal fiscal relations.

View Detailed Summary

Summary

The government's new way of giving money to states for disasters is flawed. It gives more funds to states with larger populations, even if they face fewer disasters, and less to states that are very prone to natural calamities but have fewer people. This means the states most at risk might not get enough resources to prepare for and recover from disasters.

The 16th Finance Commission's formula for allocating the State Disaster Response Funds (SDRF) has been criticized for its flawed methodology, particularly the introduction of a Disaster Risk Index (DRI). This index multiplies Hazard, Exposure, and Vulnerability. A key criticism is the use of a state's total population as a proxy for 'Exposure'. This approach disproportionately benefits highly populous states, while states like Odisha and Kerala, which face significant disaster risks but have smaller populations, are likely to receive less funding. The author argues this leads to a misallocation, leaving hazard-prone regions underserved.

The proposed solution suggests a more scientific approach to calculating exposure. Instead of total population, it recommends using population data specifically from areas prone to actual hazards. For vulnerability, a multi-dimensional index is advocated to better capture the complex socio-economic factors that increase a state's susceptibility to disasters. This revised approach aims to ensure a more equitable and effective distribution of disaster response funds, prioritizing states with genuine high-risk profiles.

This critique is relevant to India's governance and disaster management framework, impacting resource allocation for national security and public administration. It is pertinent for UPSC Mains GS Paper I (Society) and GS Paper II (Governance).

Background

The State Disaster Response Fund (SDRF) was established under the Disaster Management Act, 2005, to provide immediate relief to victims of natural and man-made disasters. Each state has its own SDRF, to which the Central Government contributes a specified percentage. The fund is primarily used for disaster response and relief activities at the state level. The Finance Commissions, constituted every five years under Article 280 of the Constitution, play a crucial role in recommending the distribution of financial resources between the Union and the states, including grants for disaster management. Their recommendations guide the allocation of funds for various purposes, ensuring a degree of fiscal federalism and addressing specific national needs. Historically, the allocation of disaster funds has often been a point of contention, with states frequently demanding higher allocations and more scientific methods for distribution. The evolving nature of disasters, exacerbated by climate change, necessitates a robust and equitable funding mechanism to ensure preparedness and effective response.

Latest Developments

The 16th Finance Commission, chaired by Arvind Panagariya, submitted its report in December 2023, making recommendations for the period 2026-2031. The commission proposed a new methodology for disaster fund allocation, including the introduction of the Disaster Risk Index (DRI).

While the DRI aims to provide a more objective measure of disaster risk, its specific components and their weightage are subject to scrutiny. The use of total population as a proxy for exposure is a point of contention, with concerns that it may not accurately reflect the actual vulnerability of different regions within a state.

The government will consider the recommendations of the 16th Finance Commission, and the final allocation of SDRF will be based on these accepted recommendations, potentially leading to changes in how disaster funds are disbursed across states in the upcoming financial period.

Practice Questions (MCQs)

1. Consider the following statements regarding the State Disaster Response Fund (SDRF): 1. It is established under the Disaster Management Act, 2005. 2. The Central Government contributes a fixed percentage of the fund to each state. 3. Its primary purpose is to meet expenses for immediate relief work in response to notified disasters. Which of the statements given above is/are correct?

  • A.1 only
  • B.1 and 3 only
  • C.2 and 3 only
  • D.1, 2 and 3
Show Answer

Answer: B

Statement 1 is CORRECT. The SDRF was indeed established under the Disaster Management Act, 2005. Statement 2 is INCORRECT. While the Central Government contributes to the SDRF, the percentage varies based on the state's category and recommendations of the Finance Commission, it is not a fixed percentage for all states. Statement 3 is CORRECT. The primary objective of SDRF is to provide immediate relief to victims of natural and man-made disasters.

2. Which Article of the Constitution of India mandates the constitution of a Finance Commission?

  • A.Article 263
  • B.Article 280
  • C.Article 275
  • D.Article 300A
Show Answer

Answer: B

Article 280 of the Constitution of India provides for the establishment of a Finance Commission. The President is required to constitute a Finance Commission every five years or at such earlier time as he considers necessary. Article 263 deals with the Inter-State Council, Article 275 deals with grants to certain states, and Article 300A deals with the right to property.

Source Articles

RS

About the Author

Ritu Singh

Governance & Constitutional Affairs Analyst

Ritu Singh writes about Polity & Governance at GKSolver, breaking down complex developments into clear, exam-relevant analysis.

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