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Catastrophic Drought Insurance based on the Remotely Sensed Normalized Difference Vegetation Index for Smallholder Farmers in Zimbabwe

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Publication date
14/12/2009
Number of Pages
23
Language:
English
Type of Publication:
Working Papers & Briefs
Focus Region:
Sub-Saharan Africa
Focus Topic:
Climate / Weather / Environment
Type of Risk:
Natural disasters
Type of Risk Managment Option:
Risk transfer
Commodity:
Crops
Author
Ephias Makaudze, Mario Miranda
Organization
University of the Western Cape, South Africa, The Ohio State University

Index insurance, which indemnifies agricultural producers based on an objectively observable variable that is highly correlated with production losses but which cannot be influenced by the producer, can provide adequate protection against catastrophic droughts without suffering from the moral hazard and adverse selection problems that typically cause conventional agricultural insurance programs to fail. Using historical maize and cotton yield data from nine districts in Zimbabwe, we find that catastrophic drought insurance contract based on the Normalized Difference Vegetation Index (NDVI) can be constructed whose indemnities exhibit higher correlations with yield losses compared to the conventional rainfall index. In addition the NDVI contracts can be offered within the 5–10 per cent premium range considered reasonably affordable to many poor smallholder farmers in Zimbabwe.