Improving humanitarian response to slow-onset disasters using famine indexed weather derivatives
This paper illustrates how weather derivatives indexed to forecasts of famine can be designed and used by operational agencies and donors to facilitate timely and reliable financing, for effective emergency response to climate-based, slow-onset disasters such as drought. We provide a general framewo...
| Autores principales: | , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
2008
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| Acceso en línea: | https://hdl.handle.net/10568/910 |
| _version_ | 1855517121332641792 |
|---|---|
| author | Chantarat, S. Turvey, C.G. Mude, Andrew G. Barrett, Christopher B. |
| author_browse | Barrett, Christopher B. Chantarat, S. Mude, Andrew G. Turvey, C.G. |
| author_facet | Chantarat, S. Turvey, C.G. Mude, Andrew G. Barrett, Christopher B. |
| author_sort | Chantarat, S. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This paper illustrates how weather derivatives indexed to forecasts of famine can be designed and used by operational agencies and donors to facilitate timely and reliable financing, for effective emergency response to climate-based, slow-onset disasters such as drought. We provide a general framework for derivative contracts, especially in the context of index insurance and famine catastrophe bond, and show how they can be used to complement existing tools and facilities in drought risk financing through a risk-layering strategy. We use the case of arid lands of northern Kenya, where rainfall proves a strong predictor of widespread and severe child wasting, to provide a simple empirical illustration of the potential contract designs. |
| format | Journal Article |
| id | CGSpace910 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2008 |
| publishDateRange | 2008 |
| publishDateSort | 2008 |
| record_format | dspace |
| spelling | CGSpace9102023-02-15T09:49:59Z Improving humanitarian response to slow-onset disasters using famine indexed weather derivatives Chantarat, S. Turvey, C.G. Mude, Andrew G. Barrett, Christopher B. This paper illustrates how weather derivatives indexed to forecasts of famine can be designed and used by operational agencies and donors to facilitate timely and reliable financing, for effective emergency response to climate-based, slow-onset disasters such as drought. We provide a general framework for derivative contracts, especially in the context of index insurance and famine catastrophe bond, and show how they can be used to complement existing tools and facilities in drought risk financing through a risk-layering strategy. We use the case of arid lands of northern Kenya, where rainfall proves a strong predictor of widespread and severe child wasting, to provide a simple empirical illustration of the potential contract designs. 2008 2010-03-24T19:51:59Z 2010-03-24T19:51:59Z Journal Article https://hdl.handle.net/10568/910 en Open Access application/pdf Chantarat, S.; Turvey, C.G.; Mude, A.G.; Barrett, C.B. 2008. Improving humanitarian response to slow-onset disasters using famine indexed weather derivatives. Agricultural Finance Review 68(1):169-195. |
| spellingShingle | Chantarat, S. Turvey, C.G. Mude, Andrew G. Barrett, Christopher B. Improving humanitarian response to slow-onset disasters using famine indexed weather derivatives |
| title | Improving humanitarian response to slow-onset disasters using famine indexed weather derivatives |
| title_full | Improving humanitarian response to slow-onset disasters using famine indexed weather derivatives |
| title_fullStr | Improving humanitarian response to slow-onset disasters using famine indexed weather derivatives |
| title_full_unstemmed | Improving humanitarian response to slow-onset disasters using famine indexed weather derivatives |
| title_short | Improving humanitarian response to slow-onset disasters using famine indexed weather derivatives |
| title_sort | improving humanitarian response to slow onset disasters using famine indexed weather derivatives |
| url | https://hdl.handle.net/10568/910 |
| work_keys_str_mv | AT chantarats improvinghumanitarianresponsetoslowonsetdisastersusingfamineindexedweatherderivatives AT turveycg improvinghumanitarianresponsetoslowonsetdisastersusingfamineindexedweatherderivatives AT mudeandrewg improvinghumanitarianresponsetoslowonsetdisastersusingfamineindexedweatherderivatives AT barrettchristopherb improvinghumanitarianresponsetoslowonsetdisastersusingfamineindexedweatherderivatives |