A Novel Disaster Insurance Model With Capacity Reservation for Public–Private Collaboration

Enhancing intraregional disaster preparedness and response capabilities is crucial for effectively managing noncatastrophic disasters in localized areas. This paper proposes a primary governmental strategy focused on signing disaster insurance contracts with capacity reservation, alongside two supplementary strategies: building predisaster stockpiles and spot market procurement. Among these, our focus is on developing a comprehensive disaster insurance model with capacity reservation functionality, which integrates both financial and operational elements to facilitate public-private collaboration. Using game-theoretical modeling, we analyze government-insurer interactions, with solutions derived through backward induction. The model is validated through a case study in China, focusing on the response of S Government and W Company to Typhoon Rumbia. The results offer a series of important insights. Zero-deductible contracts, though unconventional, emerge as an optimal mechanism in localized disasters by minimizing entry barriers and sustaining insurer profitability. For insurers, long-term cooperation is more attractive in low-volatility, short-duration events, as it enhances capacity amortization and operational efficiency. Meanwhile, policyholders exhibit highly context-sensitive behavior, with stockpiling decisions shaped by lead time, spot market prices, and disaster characteristics. The model uncovers distinct preparedness thresholds that support flexible, scenario-specific strategies, advancing the theory and practice of disaster readiness for regional governments.

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Publication Details

Journal
Risk Analysis
Published
2025-10-27
DOI
https://doi.org/10.1111/risa.70132
Primary Topic
Insurance and Financial Risk Management
Type
article
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article

A Novel Disaster Insurance Model With Capacity Reservation for Public–Private Collaboration

Qiuhong Zhao, Hui Liu, Xiaohang Yue, Lin Qi
Risk Analysis
Insurance and Financial Risk Management
article

A Novel Disaster Insurance Model With Capacity Reservation for Public–Private Collaboration

Qiuhong Zhao, Hui Liu, Xiaohang Yue, Lin Qi
article en

Abstract

Enhancing intraregional disaster preparedness and response capabilities is crucial for effectively managing noncatastrophic disasters in localized areas. This paper proposes a primary governmental strategy focused on signing disaster insurance contracts with capacity reservation, alongside two supplementary strategies: building predisaster stockpiles and spot market procurement. Among these, our focus is on developing a comprehensive disaster insurance model with capacity reservation functionality, which integrates both financial and operational elements to facilitate public-private collaboration. Using game-theoretical modeling, we analyze government-insurer interactions, with solutions derived through backward induction. The model is validated through a case study in China, focusing on the response of S Government and W Company to Typhoon Rumbia. The results offer a series of important insights. Zero-deductible contracts, though unconventional, emerge as an optimal mechanism in localized disasters by minimizing entry barriers and sustaining insurer profitability. For insurers, long-term cooperation is more attractive in low-volatility, short-duration events, as it enhances capacity amortization and operational efficiency. Meanwhile, policyholders exhibit highly context-sensitive behavior, with stockpiling decisions shaped by lead time, spot market prices, and disaster characteristics. The model uncovers distinct preparedness thresholds that support flexible, scenario-specific strategies, advancing the theory and practice of disaster readiness for regional governments.

Risk AnalysisVol. 45(12)
University of International Business and Economics (CN), Simulation Technologies (United States) (US), State Key Joint Laboratory of Environment Simulation and Pollution Control (CN), University of Wisconsin–Milwaukee (US), Beihang University (CN)
Openalex Percentile: Top 60%
Insurance and Financial Risk Management
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