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Leveraging optimal portfolio of Drought-Tolerant Maize Varieties for weather index insurance and food security.
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- Author(s): Awondo, Sebastain; Kostandini, Genti
- Source:
Geneva Risk & Insurance Review; Mar2022, Vol. 47 Issue 1, p45-65, 21p- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- Abstract: We investigate the impact of optimizing a portfolio of Drought-Tolerant Maize Varieties (DTMVs) to manage weather risk and its implications on the development of sustainable micro-insurance markets. We use high-resolution climate data and on-farm trial data, involving 20 DTMVs, over 49 locations spanning eight countries in Africa and 5 mega-environments. Markov chain and multivariate spatial Bayes models are employed to generate multivariate space-time rainfall and maize yield distributions, and derive optimal semi-variance portfolio of DTMVs. We find that optimal portfolios significantly outperformed naive portfolios, overall, reducing insurance premium rates by 31–55%. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Geneva Risk & Insurance Review is the property of Palgrave Macmillan Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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