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.
Authors
- Qiuhong Zhao (ORCID: https://orcid.org/0000-0003-3449-8954)
- Hui Liu (ORCID: https://orcid.org/0000-0001-5973-3063)
- Xiaohang Yue (ORCID: https://orcid.org/0000-0003-2419-7672)
- Lin Qi (ORCID: https://orcid.org/0000-0002-3322-8189)
Institutions
- 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)
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
- Field-Weighted Citation Impact
- 0.00