Assessment of Innovative Approaches to Flood Risk Management and Financing in Agriculture : The Thailand Case Study
The World Bank recently conducted research and concept-testing activities to investigate the expansion of the index approach from drought to flood. The main objective was to assess prerequisite conditions, as well as practical and efficient methods...
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Format: | Other Agricultural Study |
Language: | English en_US |
Published: |
Washington, DC
2013
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Online Access: | http://documents.worldbank.org/curated/en/2009/05/16461314/briefing-note-assessment-innovative-approaches-flood-risk-management-financing-agriculture-thailand-case-study http://hdl.handle.net/10986/12704 |
Summary: | The World Bank recently conducted
research and concept-testing activities to investigate the
expansion of the index approach from drought to flood. The
main objective was to assess prerequisite conditions, as
well as practical and efficient methods, to conceptualize
and potentially implement index-based insurance for
agricultural flood losses. In addition, the work assessed
how modern technologies such as flood modeling and remote
sensing-which are widely used to support flood risk mapping,
and flood detection, warning and control-could be harnessed
to support the design of such flood insurance programs for
rural clients. This paper summarizes the findings from work
carried out from September 2005 to April 2008 in the Muang
Petchaboon District of the Petchaboon province in Thailand.
The next section illustrates the importance of flood risk in
agriculture and challenges in providing flood insurance. The
following section describes the flood index insurance
concept and methodology that were tested during the
feasibility study. Section four highlights the findings from
the Petchaboon province of Thailand, and the final section
synthesizes lessons learned and recommends areas for future
research and applications. Finally, it is important to
recognize that the process of quantifying weather risk, and
of creating an operational system which combines risk and
asset information, have much broader applications than
simply for index-based weather insurance or other risk
transfer solutions. |
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