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| Bobojonov, Ihtiyor; Sommer, Rolf. |
| The paper compares the risk coping potential of insurances that are based on indices derived from weather (rainfall and temperature) data as well as from crop model and remote sensing analyses. Corresponding indices were computed for the case of wheat production in the Aleppo region of northern Syria, representative for agricultural production systems in many developing countries. The results demonstrate that weather derivatives such as the rainfall sum index (RSI) and the rainfall deficit index (RDI) have a very good potential for coping with risk in semiarid areas. Crop simulation model index (CSI) on the other hand could serve as an alternative to RSI and RDI when historical farm yield data is not available or not reliable. In such cases we simulated... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk management; Index insurance; Alternative index; CropSyst; NDVI; Risk and Uncertainty. |
| Ano: 2011 |
URL: http://purl.umn.edu/114256 |
