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来源类型 | Book Section |
DOI | 10.1007/978-94-007-2226-2_15 |
Optimizing public private risk transfer systems for flood risk management in the Upper Tisza Region. | |
Ermoliev Y; Ermolieva T; Galambos I; Amendola, A; Ermolieva, T; Linnerooth-Bayer, J; Mechler, R | |
发表日期 | 2013 |
出处 | Integrated Catastrophe Risk Modeling: Supporting Policy Processes. Eds. Amendola, A , Ermolieva, T , Linnerooth-Bayer, J & Mechler, R , Dordrecht: Springer. DOI: 10.1007/978-94-007-2226-2_15 . |
出版年 | 2013 |
语种 | 英语 |
摘要 | This chapter summarizes studies on the development of a financial risk management model for floods in the Upper Tisza river region, Hungary. We focus on the evaluation of a multi-pillar flood loss-spreading program involving partial compensation to flood victims by the central government, the pooling of risks through a mandatory public-private insurance on the basis of location-specific exposures, and a contingent ex-ante credit to reinsure the pool's liabilities. Policy analysis is guided by GIS-based catastrophe models and stochastic optimization methods with respect to location-specific risk exposures. We use economically sound risk indicators leading to convex stochastic optimization problems strongly connected with non-convex insolvency constraint and Conditional Value-at-Risk (CVaR). |
主题 | Advanced Systems Analysis (ASA) ; Ecosystems Services and Management (ESM) |
关键词 | Flood risk Catastrophe modeling Natural risk insurance Stochastic optimization Contingent credit CVaR |
URL | http://pure.iiasa.ac.at/id/eprint/10599/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/134291 |
推荐引用方式 GB/T 7714 | Ermoliev Y,Ermolieva T,Galambos I,et al. Optimizing public private risk transfer systems for flood risk management in the Upper Tisza Region.. 2013. |
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