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contributor authorBerg, Alexis
contributor authorQuirion, Philippe
contributor authorSultan, Benjamin
date accessioned2017-06-09T16:32:59Z
date available2017-06-09T16:32:59Z
date copyright2009/10/01
date issued2009
identifier issn1948-8327
identifier otherams-69805.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211515
description abstractBy using a detailed agricultural and climate dataset over Burkina-Faso and simple assumptions regarding the form of an insurance contract, the authors investigate the potential economic efficiency for farmers of a weather-index insurance system in this country. To do so, the results of more than 3000 simulated contracts applied to 30 districts, 21 yr (1984?2004), and five crops (cotton, millet, sorghum, maize, and groundnut) are explored. It is found that such an insurance system, even based on a simple weather index like cumulative rainfall during the rainy season, can present a significant economic efficiency for some crops and districts. The determinants of the efficiency of such contracts are analyzed in terms of yield/index correlations and yield variability. As a consequence of these two main determinants, the farmer?s gain from an insurance contract is higher in the driest part of the country. In the same way, maize and groundnuts are the most suitable to implement an insurance system since their respective yields show a large variance and a generally high correlation with the weather index. However, the implementation of a real weather-index insurance system in West Africa raises a number of key practical issues related to cultural, economic, and institutional aspects.
publisherAmerican Meteorological Society
titleWeather-Index Drought Insurance in Burkina-Faso: Assessment of Its Potential Interest to Farmers
typeJournal Paper
journal volume1
journal issue1
journal titleWeather, Climate, and Society
identifier doi10.1175/2009WCAS1008.1
journal fristpage71
journal lastpage84
treeWeather, Climate, and Society:;2009:;volume( 001 ):;issue: 001
contenttypeFulltext


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