Content
- Disaster Finance & 16th Finance Commission: Odisha Paradox
- An impeachment move with no winners
Disaster Finance & 16th Finance Commission: Odisha Paradox
Why in News?
- Odisha, one of India’s most disaster-prone States, faces largest reduction (1.57 percentage points) in disaster funding share under 16th Finance Commission.
- Occurs despite Odisha having highest hazard score and proven disaster preparedness, raising concerns about flaws in allocation formula.
- Debate triggered over fairness and scientific validity of Disaster Risk Index (DRI) used for SDRF allocations.
Relevance
GS II (Polity & Governance)
- Finance Commission (Article 280) & fiscal federalism
- Centre–State financial relations & horizontal devolution
- Cooperative federalism & equity in resource distribution
- Disaster governance institutions (NDMA, SDRF)
GS III (Economy + Environment & Disaster Management)
- Disaster risk management & Sendai Framework alignment
- Climate change, extreme events & vulnerability mapping
- Public finance allocation efficiency
- Data governance & use of indices (DRI) in policymaking
Practice Question
Q1. The Disaster Risk Index (DRI) used by the 16th Finance Commission has raised concerns of horizontal inequity among States.Critically analyse. (250 words)
Context
- Odisha has 574.7 km cyclone-prone coastline and has faced some of the most intense cyclones in the Indian subcontinent historically.
- Through early warning systems, cyclone shelters, and mass evacuations, the State reduced cyclone mortality to near zero over two decades.
- Despite this success, revised formula has reduced its share, highlighting mismatch between risk exposure and fiscal allocation.
Static Background
Finance Commission & Disaster Funding
- Finance Commission under Article 280 recommends distribution of finances between Centre and States, including disaster management funds.
- State Disaster Response Fund (SDRF) is primary funding mechanism for disaster preparedness, relief, and response at State level.
- 16th Finance Commission allocated ₹2,04,401 crore to SDRF, a 59.5% increase over 15th Finance Commission allocation.
Disaster Risk Index (DRI)
- 16th Finance Commission uses multiplicative formula: DRI = Hazard × Exposure × Vulnerability.
- Marks shift from additive approach (15th FC) to theoretically more accurate risk-based framework.
- Based on principle that disasters occur when hazard intersects with exposed and vulnerable populations.
Key Issues in Current Formula
Mis-measurement of Exposure
- Exposure measured using total population scaled linearly, rather than population residing in hazard-prone zones.
- Contradicts IPCC definition, where exposure refers to people located in areas susceptible to hazards, not entire population.
- Leads to distortion where large inland populations are treated equally exposed as smaller coastal populations.
Population Bias in Multiplicative Formula
- Multiplicative DRI amplifies population effect, effectively rewarding demographic size rather than actual disaster risk exposure.
- Odisha with hazard score 12 and low population score gets DRI of 79.8, while Uttar Pradesh reaches 413.2 despite lower hazard levels.
- Undermines objective of risk-based allocation by privileging populous States over high-risk States.
Inadequate Proxy for Vulnerability
- Vulnerability measured through per capita NSDP, assuming poorer States are more vulnerable to disasters.
- NSDP reflects fiscal capacity, not actual disaster vulnerability like housing quality, infrastructure resilience, or health systems.
- Ignores intra-state inequalities and spatial concentration of vulnerability within hazard-prone districts.
Empirical Distortions
- Kerala assigned low vulnerability score despite ₹31,000 crore flood damage in 2018, due to relatively higher per capita income.
- Jharkhand loses funding share despite high poverty and vulnerability, as population factor dominates multiplicative framework.
- Around 20 States lose share, not because of lower risk, but due to lower population or higher average income levels.
Implications
- Creates horizontal fiscal inequity, where high-risk States receive lower disaster funding relative to actual vulnerability and exposure.
- Disincentivises States investing in disaster preparedness, as improved resilience does not translate into sustained fiscal support.
- Weakens India’s overall disaster preparedness by misallocating resources away from most hazard-prone regions.
- Undermines cooperative federalism by generating perceptions of arbitrary and inequitable fiscal transfers.
Data & Evidence
- Odisha hazard score: highest in India, yet faces reduction in SDRF share by 1.57 percentage points.
- Bihar DRI: 224.2 and Uttar Pradesh: 413.2 due to population weight, despite comparatively lower hazard exposure.
- Kerala flood damages (2018): ₹31,000 crore, yet vulnerability score near minimum under current formula.
- SDRF allocation increased to ₹2.04 lakh crore, but distribution remains skewed due to flawed index construction.
What Needs to Change ?
Reforming Exposure Measurement
- Exposure should be calculated as population residing in hazard-prone zones, not total State population.
- Use BMTPC Vulnerability Atlas combined with Census enumeration block data for precise spatial exposure mapping.
Redefining Vulnerability
- Develop composite vulnerability index including:
- Share of kutcha housing and unsafe structures
- Health infrastructure availability in hazard-prone districts
- Agricultural dependence and crop insurance coverage
- Use datasets such as NFHS-5, PMFBY, NHM, and IMD records for multidimensional assessment.
Institutional Mechanism
- Mandate National Disaster Management Authority to publish annual State Disaster Vulnerability Index with standardised methodology.
- Ensure consistency and transparency across Finance Commission cycles, avoiding ad hoc or contested metrics.
Aligning Formula with Risk Principles
- Ensure DRI reflects actual interaction of hazard, exposure, and vulnerability, rather than population-driven distortions.
- Introduce safeguards or weights to prevent demographic size from dominating allocation outcomes.
Way Forward
- Transition towards spatially disaggregated disaster risk mapping, integrating geospatial data with socio-economic indicators for precise allocation.
- Strengthen data governance and interoperability between agencies like IMD, NDMA, Census, and State governments.
- Incorporate climate change projections to anticipate future disaster risks rather than relying solely on historical data.
- Ensure Finance Commission formulas align with Sendai Framework principles of disaster risk reduction and resilience building.
- Promote incentive-based funding rewarding States for investments in disaster preparedness and resilience infrastructure.
Prelims Pointers
- Finance Commission constituted under Article 280 recommends disaster funding through SDRF and NDRF mechanisms.
- Nagoya Protocol unrelated; disaster funding linked to NDMA and SDRF frameworks.
- DRI formula: Hazard × Exposure × Vulnerability used by 16th Finance Commission.
- IPCC defines exposure as population located in hazard-prone areas, not total population within administrative boundaries.
An impeachment move with no winners
Why in News?
- Around 193 Opposition MPs moved impeachment notice against Chief Election Commissioner, alleging partisan conduct, electoral roll manipulation, and disenfranchisement concerns.
- First such attempt against CEC in India’s history, signalling deep institutional trust deficit in Election Commission of India (ECI).
- Triggered by controversies surrounding Special Intensive Revision (SIR) of electoral rolls and alleged discrepancies in voter lists.
Relevance
GS II (Polity & Governance)
- Election Commission of India (Article 324) – independence & neutrality
- Removal of CEC & constitutional safeguards
- Electoral reforms & integrity of electoral rolls
- Separation of powers & judicialisation of governance
Practice Qustion
Q1. The recent impeachment move against the Chief Election Commissioner reflects deeper concerns about institutional trust in electoral governance. Discuss. (250 words)
Context
- ECI historically regarded as most credible constitutional institution, praised for integrity and neutrality in electoral management.
- Recent electoral roll revisions and perceived lack of transparency led to escalating confrontation between Opposition parties and ECI.
- Situation reflects shift from institutional trust → adversarial political engagement with constitutional bodies.
Static Background
Election Commission of India (ECI)
- Constitutional body under Article 324, responsible for superintendence, direction, and control of elections in India.
- Comprises Chief Election Commissioner and Election Commissioners with security of tenure similar to Supreme Court judges.
- CEC removable only through impeachment by Parliament on grounds of proved misbehaviour or incapacity.
Electoral Rolls & Legal Framework
- Preparation and revision governed by Representation of the People Act, 1950.
- Universal adult suffrage under Article 326, making electoral rolls central to democratic participation.
- ECI responsible for ensuring inclusion, accuracy, and non-discrimination in voter lists.
Key Issues Highlighted
Impeachment as Political Signal
- Motion unlikely to succeed due to numbers, indicating symbolic rather than outcome-oriented political strategy.
- Reflects attempt to delegitimise the institution and raise public awareness about alleged electoral irregularities.
- Suggests erosion of norm of treating ECI as neutral referee in democratic competition.
Special Intensive Revision (SIR) Controversy
- Large-scale revision of electoral rolls undertaken with AI-based “logical discrepancy” detection tools.
- Significant number of voters deleted or kept under adjudication, raising concerns about potential disenfranchisement.
- Continuation of elections despite unresolved voter status created doubts about procedural fairness and inclusiveness.
Breakdown of Institutional Communication
- Increasing hostility between Opposition and ECI marked by public accusations, press conferences, and legal battles.
- ECI perceived as unresponsive or opaque in addressing concerns, leading to collapse of dialogue channels.
- Shift from cooperative engagement to institutional confrontation weakens democratic norms.
Judicialisation of Electoral Process
- Supreme Court involvement through multiple petitions and appointment of judicial officers to resolve voter disputes.
- Indicates extraordinary reliance on judiciary for routine electoral functions, reflecting institutional stress.
- Raises concerns about blurring of separation of powers and administrative autonomy of ECI.
Perception of Partisanship
- Allegations of selective actions and timing of decisions created perception of bias towards ruling dispensation.
- Even perception of bias can undermine legitimacy, as ECI’s authority depends heavily on public trust and neutrality.
Implications
- Weakening of ECI’s credibility risks delegitimising electoral outcomes, especially for losing parties and their supporters.
- Erosion of trust in electoral processes can lead to reduced voter confidence and democratic participation.
- Politicisation of constitutional bodies threatens institutional autonomy and independence in long term.
- Potential disenfranchisement undermines core democratic right to vote under Article 326.
- Creates dangerous precedent where referee becomes perceived participant in political contestation.
Critical Analysis
- Impeachment move represents political theatre but signals deeper systemic concerns about electoral integrity and institutional accountability.
- ECI’s insistence on procedural correctness without transparent communication may reflect administrative rigidity over participatory governance.
- Over-reliance on technological tools like AI without adequate safeguards raises issues of exclusion, opacity, and accountability.
- Both sides contribute to erosion of trust:
- Political actors by attacking institution
- Institution by not sufficiently engaging with stakeholders
Way Forward
- Strengthen transparency by publishing detailed methodologies, data, and audit trails for electoral roll revisions.
- Institutionalise structured dialogue mechanisms between ECI and political parties to resolve disputes proactively.
- Establish independent electoral audit mechanisms or ombudsman for addressing grievances related to voter lists.
- Regulate use of AI tools in governance through clear accountability frameworks and human oversight mechanisms.
- Ensure strict adherence to inclusion principle, prioritising voter rights over administrative efficiency.
- Reinforce institutional independence through collegium-based appointments and safeguards against perceived executive influence.
Prelims Pointers
- ECI established under Article 324 with powers over conduct of elections in India.
- CEC removal process similar to Supreme Court judge, requiring special majority in Parliament.
- Electoral rolls governed by Representation of the People Act, 1950.
- Universal adult suffrage guaranteed under Article 326 of Constitution.
