Fiscal Fault Lines in India's Disaster Response | Current Affairs | Vision IAS
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In Summary

India's disaster funding faces gaps, outdated norms, procedural delays, and ambiguous criteria, requiring adoption of global best practices and comprehensive vulnerability-based allocation reforms. 

In Summary

Disaster relief funding in India is becoming increasingly uneven, with a widening gap between assessed needs and actual funds released. E.g. In Kerala after Wayanad landslides. 

  • This raises the question of whether India’s fiscal federalism is shifting from cooperation to a more centralised and conditional system of disaster finance.

India's Disaster Response Financing Framework: 

  • Established under Disaster Management (DM) Act, 2005, operates on a two-tier structure.
    • State Disaster Response Fund (SDRF): Jointly financed by Centre and States, typically in a 75:25 ratio, though it is 90:10 for Himalayan and north-eastern States.
    • National Disaster Response Fund (NDRF): Fully financed by Union government, intended to supplement SDRF when a calamity is officially classified as "severe".

Key institutional issues in Framework:

  • Outdated Relief Norms: Compensation ceilings e.g. ₹4 lakh for each life lost have remained largely unchanged for a decade.
  • Ambiguity in Classification: DM Act, 2005, does not define what constitutes a ‘severe’ disaster, allowing discretion in deciding eligibility for NDRF aid.
  • Procedural and Slow Aid Release: Process relies on sequential clearances, including a State memorandum, central assessment, and high-level approval.
  • Weak Finance Commission Allocation Criteria: Criteria for allocation use population and total geographical area to measure exposure, neglecting actual hazard patterns.
    • Furthermore, disaster vulnerability is approximated by poverty instead of a robust disaster-risk index.

Way Forward for better disaster response financing:

  • Adopting global best practices:
    • Federal Emergency Management Agency (FEMA) in the United States uses per capita damage thresholds.
    • Mexico’s former FONDEN released funds automatically when predetermined rainfall or wind limits were exceeded.
    • Philippines uses rainfall and fatality indices to trigger quick-response funds.
    • African and Caribbean insurance facilities utilize satellite data for rapid payouts
  • Other Recommendations: Revising allocation criteria using a comprehensive vulnerability index, updating relief norms etc.
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