Literature DB >> 25546529

Disaster risk insurance and catastrophe models in risk-prone small Caribbean islands.

Antonio R T Joyette1, Leonard A Nurse2, Roger S Pulwarty3.   

Abstract

Post-catastrophe recovery and financial liquidity have long challenged small Caribbean islands. These states are vulnerable to multifarious natural hazards that often cause considerable socioeconomic dislocation. Such events inflict heavy losses on businesses and households, and significantly disrupt all aspects of government operations. After Hurricane Ivan devastated the economies of some islands in September 2004-with estimated losses of as much as 200 per cent of gross domestic product in some cases-regional governments, aided by the World Bank and international donors, approved the creation of a regional catastrophe insurance scheme. This parametric-based mechanism is underpinned by derivatives-based catastrophe modelling whose outputs determine policy triggers and pay outs. Hazard models, particularly catastrophe models, are not widely accepted as yet. Despite recent advancements, major concerns have rendered them peripheral tools for many establishments. This paper reviews the region's vulnerabilities and examines constraints on the application of these models and suggests a means of improving their efficacy and acceptability.
© 2015 The Author(s). Disasters © Overseas Development Institute, 2015.

Entities:  

Keywords:  Caribbean catastrophe modelling; Caribbean data; climate risk; natural hazards; parametric insurance; risk insurance; small island developing states (SIDS)

Mesh:

Year:  2014        PMID: 25546529     DOI: 10.1111/disa.12118

Source DB:  PubMed          Journal:  Disasters        ISSN: 0361-3666


  1 in total

1.  A Novel Strategy for Very-Large-Scale Cash-Crop Mapping in the Context of Weather-Related Risk Assessment, Combining Global Satellite Multispectral Datasets, Environmental Constraints, and In Situ Acquisition of Geospatial Data.

Authors:  Fabio Dell'Acqua; Gianni Cristian Iannelli; Marco A Torres; Mario L V Martina
Journal:  Sensors (Basel)       Date:  2018-02-14       Impact factor: 3.576

  1 in total

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