Multi‐site bundling of drought tolerant maize varieties and index insurance

Drought Tolerant Maize Varieties (DTMV) and Rainfall Index Insurance (RII) are potential complements, though with limited empirical basis. We employ a multivariate spatial framework to investigate the potential for bundling DTMV with a simulated multi‐site and multi‐environment RII, designed to insu...

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Detalles Bibliográficos
Autores: Awondo, S.N., Kostandini, G., Setimela, P., Erenstein, O.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:México
Institución:Centro Internacional de Mejoramiento de Maíz y Trigo
Repositorio:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/20255
Acceso en línea:https://hdl.handle.net/10883/20255
Access Level:acceso abierto
Palabra clave:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Drought Tolerant Maize Varieties
Mega-Environments
Multi-Site Index Insurance
Multivariate Hierarchical Bayes
MAIZE
DROUGHT TOLERANCE
VARIETIES
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spelling Multi‐site bundling of drought tolerant maize varieties and index insuranceAwondo, S.N.Kostandini, G.Setimela, P.Erenstein, O.AGRICULTURAL SCIENCES AND BIOTECHNOLOGYDrought Tolerant Maize VarietiesMega-EnvironmentsMulti-Site Index InsuranceMultivariate Hierarchical BayesMAIZEDROUGHT TOLERANCEVARIETIESDrought Tolerant Maize Varieties (DTMV) and Rainfall Index Insurance (RII) are potential complements, though with limited empirical basis. We employ a multivariate spatial framework to investigate the potential for bundling DTMV with a simulated multi‐site and multi‐environment RII, designed to insure against mild, moderate and severe drought risk. We use yield data from on‐farm trials conducted by the International Maize and Wheat Improvement Center (CIMMYT) and partners over 49 locations in Eastern and Southern Africa spanning 8 countries and 5 mega‐environments (dry lowland, dry mid altitude, wet lower mid altitude, low wetland and wet upper mid altitude) in which 19 different improved maize varieties including DTMV were tested at each location. Spatially correlated daily rainfall data are generated from a first‐order two‐state Markov chain process and used to calibrate the index and predict yields with a hierarchical Bayes multivariate spatial model. Results show high variation in the performance and benefits of different bundles which depend on the maize variety, the risk layer insured, and the type of environment, with high chances of selecting a sub‐optimal and unattractive contract. We find that complementing RII with a specific DTMV produces contracts with lower premiums and higher guaranteed returns especially in dry lowland increasing the chances of scaling up RII within this environment.239-259The dataset related with this article is only referentialWiley2019-09-19T21:54:26Z2019-09-19T21:54:26Z2020Published Versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePDFapplication/pdf1477-9552https://hdl.handle.net/10883/2025510.1111/1477-9552.12344171Journal of Agricultural Economicsreponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYTinstname:Centro Internacional de Mejoramiento de Maíz y Trigoinstacron:CIMMYTEnglishhttps://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1477-9552.12344&file=jage12344-sup-0001-Appendix_e.docxAFRICAUSACIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.Open Accessinfo:eu-repo/semantics/openAccessoai:repository.cimmyt.org:10883/202552024-10-11T19:58:12Z
dc.title.none.fl_str_mv Multi‐site bundling of drought tolerant maize varieties and index insurance
title Multi‐site bundling of drought tolerant maize varieties and index insurance
spellingShingle Multi‐site bundling of drought tolerant maize varieties and index insurance
Awondo, S.N.
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Drought Tolerant Maize Varieties
Mega-Environments
Multi-Site Index Insurance
Multivariate Hierarchical Bayes
MAIZE
DROUGHT TOLERANCE
VARIETIES
title_short Multi‐site bundling of drought tolerant maize varieties and index insurance
title_full Multi‐site bundling of drought tolerant maize varieties and index insurance
title_fullStr Multi‐site bundling of drought tolerant maize varieties and index insurance
title_full_unstemmed Multi‐site bundling of drought tolerant maize varieties and index insurance
title_sort Multi‐site bundling of drought tolerant maize varieties and index insurance
dc.creator.none.fl_str_mv Awondo, S.N.
Kostandini, G.
Setimela, P.
Erenstein, O.
author Awondo, S.N.
author_facet Awondo, S.N.
Kostandini, G.
Setimela, P.
Erenstein, O.
author_role author
author2 Kostandini, G.
Setimela, P.
Erenstein, O.
author2_role author
author
author
dc.subject.none.fl_str_mv AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Drought Tolerant Maize Varieties
Mega-Environments
Multi-Site Index Insurance
Multivariate Hierarchical Bayes
MAIZE
DROUGHT TOLERANCE
VARIETIES
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Drought Tolerant Maize Varieties
Mega-Environments
Multi-Site Index Insurance
Multivariate Hierarchical Bayes
MAIZE
DROUGHT TOLERANCE
VARIETIES
description Drought Tolerant Maize Varieties (DTMV) and Rainfall Index Insurance (RII) are potential complements, though with limited empirical basis. We employ a multivariate spatial framework to investigate the potential for bundling DTMV with a simulated multi‐site and multi‐environment RII, designed to insure against mild, moderate and severe drought risk. We use yield data from on‐farm trials conducted by the International Maize and Wheat Improvement Center (CIMMYT) and partners over 49 locations in Eastern and Southern Africa spanning 8 countries and 5 mega‐environments (dry lowland, dry mid altitude, wet lower mid altitude, low wetland and wet upper mid altitude) in which 19 different improved maize varieties including DTMV were tested at each location. Spatially correlated daily rainfall data are generated from a first‐order two‐state Markov chain process and used to calibrate the index and predict yields with a hierarchical Bayes multivariate spatial model. Results show high variation in the performance and benefits of different bundles which depend on the maize variety, the risk layer insured, and the type of environment, with high chances of selecting a sub‐optimal and unattractive contract. We find that complementing RII with a specific DTMV produces contracts with lower premiums and higher guaranteed returns especially in dry lowland increasing the chances of scaling up RII within this environment.
publishDate 2019
dc.date.none.fl_str_mv 2019-09-19T21:54:26Z
2019-09-19T21:54:26Z
2020
dc.type.none.fl_str_mv Published Version
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 1477-9552
https://hdl.handle.net/10883/20255
10.1111/1477-9552.12344
identifier_str_mv 1477-9552
10.1111/1477-9552.12344
url https://hdl.handle.net/10883/20255
dc.language.none.fl_str_mv English
language_invalid_str_mv English
dc.relation.none.fl_str_mv https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1477-9552.12344&file=jage12344-sup-0001-Appendix_e.docx
dc.rights.none.fl_str_mv Open Access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Open Access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv PDF
application/pdf
dc.coverage.none.fl_str_mv AFRICA
USA
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv 1
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Journal of Agricultural Economics
reponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
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reponame_str Repositorio Institucional de Publicaciones Multimedia del CIMMYT
collection Repositorio Institucional de Publicaciones Multimedia del CIMMYT
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