Leveraging optimal portfolio of Drought-Tolerant Maize Varieties for weather index insurance and food security

被引：0
作者：
Sebastain Awondo
Genti Kostandini
机构：
[1] University of Alabama,Alabama Center for Insurance Information and Research (ACIIR)
[2] University of Georgia,Department of Agricultural and Applied Economics
来源：
The Geneva Risk and Insurance Review | 2022年 / 47卷
关键词：
Weather risk; Drought-tolerant maize; Portfolio optimization; Downside risk measures; Index insurance; Africa; 033; Q12; D80;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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%.
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页码：45 / 65
页数：20
相关论文
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