Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology
Extreme weather causes substantial damage to livelihoods of smallholder farmers globally and are projected to become more frequent in the coming decades as a result of climate change. Index insurance can theoretically help farmers to adapt and mitigate the risks posed by extreme weather events, prov...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Resumen |
| Lenguaje: | Inglés |
| Publicado: |
EGU General Assembly
2021
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/143207 |
| _version_ | 1855521437702422528 |
|---|---|
| author | Afshar, Mehdi H. Foster, Tim Higginbottom, Thomas P. Parkes, Ben Hufkens, Koen Mansabdar, Sanjay Ceballos, Francisco Kramer, Berber |
| author_browse | Afshar, Mehdi H. Ceballos, Francisco Foster, Tim Higginbottom, Thomas P. Hufkens, Koen Kramer, Berber Mansabdar, Sanjay Parkes, Ben |
| author_facet | Afshar, Mehdi H. Foster, Tim Higginbottom, Thomas P. Parkes, Ben Hufkens, Koen Mansabdar, Sanjay Ceballos, Francisco Kramer, Berber |
| author_sort | Afshar, Mehdi H. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Extreme weather causes substantial damage to livelihoods of smallholder farmers globally and are projected to become more frequent in the coming decades as a result of climate change. Index insurance can theoretically help farmers to adapt and mitigate the risks posed by extreme weather events, providing a financial safety net in the event of crop damage or harvest failure. However, uptake of index insurance in practice has lagged far behind expectations. A key reason is that many existing index insurance products suffer from high levels of basis risk, where insurance payouts correlate poorly with actual crop losses due to deficiencies in the underlying index relationship, contract structure or data used to trigger insurance payouts to farmers. |
| format | Abstract |
| id | CGSpace143207 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | EGU General Assembly |
| publisherStr | EGU General Assembly |
| record_format | dspace |
| spelling | CGSpace1432072025-12-08T10:11:39Z Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology Afshar, Mehdi H. Foster, Tim Higginbottom, Thomas P. Parkes, Ben Hufkens, Koen Mansabdar, Sanjay Ceballos, Francisco Kramer, Berber insurance models data remote sensing leaf area index farmers crop yield yield forecasting smallholders extreme weather events livelihoods yields crop modelling Extreme weather causes substantial damage to livelihoods of smallholder farmers globally and are projected to become more frequent in the coming decades as a result of climate change. Index insurance can theoretically help farmers to adapt and mitigate the risks posed by extreme weather events, providing a financial safety net in the event of crop damage or harvest failure. However, uptake of index insurance in practice has lagged far behind expectations. A key reason is that many existing index insurance products suffer from high levels of basis risk, where insurance payouts correlate poorly with actual crop losses due to deficiencies in the underlying index relationship, contract structure or data used to trigger insurance payouts to farmers. 2021-04-01 2024-05-22T12:12:31Z 2024-05-22T12:12:31Z Abstract https://hdl.handle.net/10568/143207 en https://doi.org/10.3390/rs13050924 https://hdl.handle.net/10568/110712 Open Access EGU General Assembly Afshar, Mehdi H.; Foster, Tim; Higginbottom, Thomas P.; Parkes, Ben; Hufkens, Koen; Mansabdar, Sanjay; Ceballos, Francisco; and Kramer, Berber. 2021. Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology. EGU21-9534. EGU General Assembly. https://doi.org/10.5194/egusphere-egu21-9534 |
| spellingShingle | insurance models data remote sensing leaf area index farmers crop yield yield forecasting smallholders extreme weather events livelihoods yields crop modelling Afshar, Mehdi H. Foster, Tim Higginbottom, Thomas P. Parkes, Ben Hufkens, Koen Mansabdar, Sanjay Ceballos, Francisco Kramer, Berber Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology |
| title | Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology |
| title_full | Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology |
| title_fullStr | Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology |
| title_full_unstemmed | Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology |
| title_short | Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology |
| title_sort | overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology |
| topic | insurance models data remote sensing leaf area index farmers crop yield yield forecasting smallholders extreme weather events livelihoods yields crop modelling |
| url | https://hdl.handle.net/10568/143207 |
| work_keys_str_mv | AT afsharmehdih overcomingbasisriskinagriculturalindexinsuranceusingcropsimulationmodelingandsatellitecropphenology AT fostertim overcomingbasisriskinagriculturalindexinsuranceusingcropsimulationmodelingandsatellitecropphenology AT higginbottomthomasp overcomingbasisriskinagriculturalindexinsuranceusingcropsimulationmodelingandsatellitecropphenology AT parkesben overcomingbasisriskinagriculturalindexinsuranceusingcropsimulationmodelingandsatellitecropphenology AT hufkenskoen overcomingbasisriskinagriculturalindexinsuranceusingcropsimulationmodelingandsatellitecropphenology AT mansabdarsanjay overcomingbasisriskinagriculturalindexinsuranceusingcropsimulationmodelingandsatellitecropphenology AT ceballosfrancisco overcomingbasisriskinagriculturalindexinsuranceusingcropsimulationmodelingandsatellitecropphenology AT kramerberber overcomingbasisriskinagriculturalindexinsuranceusingcropsimulationmodelingandsatellitecropphenology |