Options for pro-poor maize seed market segmentation in Kenya

New agricultural technologies have to be affordable to make a difference in poor farmers? livelihoods. Their cost to the poor can be reduced through subsidies by the public sector or humanitarian use exemption from Intellectual Property Rights (IPR) by the private sector. Either option needs market...

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Authors: De Groote, H., Hall, M.D., Spielman, D., Mugo, S.N., Andam, K., Munyua, B.G., Banziger, M.
Format: article
Status:Published version
Publication Date:2011
Country:México
Institution:Centro Internacional de Mejoramiento de Maíz y Trigo
Repository:Repositorio Institucional de Publicaciones Multimedia del CIMMYT
OAI Identifier:oai:repository.cimmyt.org:10883/2201
Online Access:http://hdl.handle.net/10883/2201
Access Level:Open access
Keyword:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
MAIZE
POVERTY
MARKET SEGMENTATION
SEEDS
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spelling Options for pro-poor maize seed market segmentation in KenyaDe Groote, H.Hall, M.D.Spielman, D.Mugo, S.N.Andam, K.Munyua, B.G.Banziger, M.AGRICULTURAL SCIENCES AND BIOTECHNOLOGYMAIZEPOVERTYMARKET SEGMENTATIONSEEDSNew agricultural technologies have to be affordable to make a difference in poor farmers? livelihoods. Their cost to the poor can be reduced through subsidies by the public sector or humanitarian use exemption from Intellectual Property Rights (IPR) by the private sector. Either option needs market segmentation, common in the health sector, but not in agriculture. This paper analyzes options for pro-poor market segmentation for maize seed in Kenya, the most important agricultural technology in the country. Survey data from 1800 households were analyzed to calculate maize seed use by wealth category and agroecological zone. Different market segmentation options were compared by calculating the number of beneficiaries, and the number and proportion of poor beneficiaries. Geographic targeting is not efficient; targeting the poorest districts leads to a high proportion of non-poor beneficiaries, while targeting low potential areas leads to low numbers of beneficiaries because of sparse population and low maize production. Self-selection by targeting technologies like varieties and small seed packages is also not efficient because poor and non-poor farmers use similar technologies. Two options have potential: direct targeting, expensive but with limited leakage, and tiered pricing, likely much cheaper but with high proportions of non-poor beneficiaries.4699-4712Academic Journals2013-06-07T21:09:46Z2013-06-07T21:09:46Z2011info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePDFapplication/pdf1684-53151684-5315http://hdl.handle.net/10883/220110.5897/AJB10.27012310African Journal of Biotechnologyreponame:Repositorio Institucional de Publicaciones Multimedia del CIMMYTinstname:Centro Internacional de Mejoramiento de Maíz y Trigoinstacron:CIMMYTEnglishKenyaCIMMYT 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:10883/22012024-10-11T19:59:30Z
dc.title.none.fl_str_mv Options for pro-poor maize seed market segmentation in Kenya
title Options for pro-poor maize seed market segmentation in Kenya
spellingShingle Options for pro-poor maize seed market segmentation in Kenya
De Groote, H.
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
MAIZE
POVERTY
MARKET SEGMENTATION
SEEDS
title_short Options for pro-poor maize seed market segmentation in Kenya
title_full Options for pro-poor maize seed market segmentation in Kenya
title_fullStr Options for pro-poor maize seed market segmentation in Kenya
title_full_unstemmed Options for pro-poor maize seed market segmentation in Kenya
title_sort Options for pro-poor maize seed market segmentation in Kenya
dc.creator.none.fl_str_mv De Groote, H.
Hall, M.D.
Spielman, D.
Mugo, S.N.
Andam, K.
Munyua, B.G.
Banziger, M.
author De Groote, H.
author_facet De Groote, H.
Hall, M.D.
Spielman, D.
Mugo, S.N.
Andam, K.
Munyua, B.G.
Banziger, M.
author_role author
author2 Hall, M.D.
Spielman, D.
Mugo, S.N.
Andam, K.
Munyua, B.G.
Banziger, M.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
MAIZE
POVERTY
MARKET SEGMENTATION
SEEDS
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
MAIZE
POVERTY
MARKET SEGMENTATION
SEEDS
description New agricultural technologies have to be affordable to make a difference in poor farmers? livelihoods. Their cost to the poor can be reduced through subsidies by the public sector or humanitarian use exemption from Intellectual Property Rights (IPR) by the private sector. Either option needs market segmentation, common in the health sector, but not in agriculture. This paper analyzes options for pro-poor market segmentation for maize seed in Kenya, the most important agricultural technology in the country. Survey data from 1800 households were analyzed to calculate maize seed use by wealth category and agroecological zone. Different market segmentation options were compared by calculating the number of beneficiaries, and the number and proportion of poor beneficiaries. Geographic targeting is not efficient; targeting the poorest districts leads to a high proportion of non-poor beneficiaries, while targeting low potential areas leads to low numbers of beneficiaries because of sparse population and low maize production. Self-selection by targeting technologies like varieties and small seed packages is also not efficient because poor and non-poor farmers use similar technologies. Two options have potential: direct targeting, expensive but with limited leakage, and tiered pricing, likely much cheaper but with high proportions of non-poor beneficiaries.
publishDate 2011
dc.date.none.fl_str_mv 2011
2013-06-07T21:09:46Z
2013-06-07T21:09:46Z
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 1684-5315
1684-5315
http://hdl.handle.net/10883/2201
10.5897/AJB10.2701
identifier_str_mv 1684-5315
10.5897/AJB10.2701
url http://hdl.handle.net/10883/2201
dc.language.none.fl_str_mv English
language_invalid_str_mv English
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 Kenya
dc.publisher.none.fl_str_mv Academic Journals
publisher.none.fl_str_mv Academic Journals
dc.source.none.fl_str_mv 23
10
African Journal of Biotechnology
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