Decoding Disaster Risk Governance in India: A Thematic and Multi-Parametric Expert Sentiment Analysis of India’s DM Act and Amendment Bill

The Disaster Management (Amendment) Bill, 2024, seemingly represents India’s legislative response to the challenge of resolving the policy dichotomy between reactive disaster governance and proactive disaster risk governance (DRG). This study provides a comprehensive, multi-layered evaluation, combining a thematic analysis of the foundational DM Act, 2005, with syntactic and semantic analysis of the Amendment Bill’s provisions and mandates. A novel multi-parametric sentiment analysis framework, utilizing Structured Expert Elicitation (SEE) across 18 parameters, quantified the professional reception within India’s quasi-federal context. Key findings revealed a statistically significant inverse correlation as greater professional experience correlated with lower agreement on the amendments, signalling deep skepticism regarding implementation feasibility. The analysis identifies a centralization-devolution paradox in its provisions, operational efficacy risks of critical operational devolution as in case of Urban Disaster Management Authorities and the Bill’s failure to fully integrate escalating climate-induced risks and establish minimum standards for post-disaster relief, undermining both adaptive capacity and equitable support. The findings underscore that the Bill’s success hinges on pertinent statutory and fiscal calibration to bridge the gap between progressive disaster risk governance rhetoric and administrative reality.

Authors

Institutions

Publication Details

Journal
Journal of Hazards Risk and Resilience
Published
2025-12-03
DOI
https://doi.org/10.53941/jhrr.2026.100001
Primary Topic
Disaster Management and Resilience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decoding Disaster Risk Governance in India: A Thematic and Multi-Parametric Expert Sentiment Analysis of India’s DM Act and Amendment Bill

Prachee Majumder, Tanmay Gound, Jeevan Madapala, Repaul Kanji
Journal of Hazards Risk and Resilience
Disaster Management and Resilience
article

Decoding Disaster Risk Governance in India: A Thematic and Multi-Parametric Expert Sentiment Analysis of India’s DM Act and Amendment Bill

Prachee Majumder, Tanmay Gound, Jeevan Madapala, Repaul Kanji
article en

Abstract

The Disaster Management (Amendment) Bill, 2024, seemingly represents India’s legislative response to the challenge of resolving the policy dichotomy between reactive disaster governance and proactive disaster risk governance (DRG). This study provides a comprehensive, multi-layered evaluation, combining a thematic analysis of the foundational DM Act, 2005, with syntactic and semantic analysis of the Amendment Bill’s provisions and mandates. A novel multi-parametric sentiment analysis framework, utilizing Structured Expert Elicitation (SEE) across 18 parameters, quantified the professional reception within India’s quasi-federal context. Key findings revealed a statistically significant inverse correlation as greater professional experience correlated with lower agreement on the amendments, signalling deep skepticism regarding implementation feasibility. The analysis identifies a centralization-devolution paradox in its provisions, operational efficacy risks of critical operational devolution as in case of Urban Disaster Management Authorities and the Bill’s failure to fully integrate escalating climate-induced risks and establish minimum standards for post-disaster relief, undermining both adaptive capacity and equitable support. The findings underscore that the Bill’s success hinges on pertinent statutory and fiscal calibration to bridge the gap between progressive disaster risk governance rhetoric and administrative reality.

Journal of Hazards Risk and ResilienceVol. 1(1)
Kolkata Municipal Corporation (IN), International Development Research Centre (IN), Rajiv Gandhi University of Knowledge Technologies (IN)
Climate action
Openalex Percentile: Top 13%
Disaster Management and Resilience
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.