Typology of households adopting improved soybean technology: an application of the discriminant analysis model in northern Nigeria

A two-stage typology of adopters and non-adopters of improved soybean varieties introduced to farmers in northern Nigeria was investigated using the discriminant analysis model. Labour expenses, active membership of associations and exposure to extension services significantly discriminated the two groups, out of thirteen factors used in the linear discriminating Junction. Involved alone in a second-stage of model discrimination, the three variables achieved a 94.1 percent correct classification performance. The linear discriminating Junctions' coefficients were positive for the three variables, implying that the chances of belonging to the high adoption group would increase if these characteristics increased in magnitude. In scaling out crop-improvement technologies to households attention should be focused an these institutional and financial factors that best facilitated adoption of new crop germplasm.

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Bibliographic Details
Main Authors: Ojiako, I.A., Manyong, Victor M., Ikpi, A.
Format: Journal Article biblioteca
Language:English
Published: 2008
Subjects:improved soybean varieties, typology of adopters, discriminant analysis, soybean research, households, malnutrition,
Online Access:https://hdl.handle.net/10568/92155
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spelling dig-cgspace-10568-921552023-06-13T06:10:12Z Typology of households adopting improved soybean technology: an application of the discriminant analysis model in northern Nigeria Ojiako, I.A. Manyong, Victor M. Ikpi, A. improved soybean varieties typology of adopters discriminant analysis soybean research households malnutrition A two-stage typology of adopters and non-adopters of improved soybean varieties introduced to farmers in northern Nigeria was investigated using the discriminant analysis model. Labour expenses, active membership of associations and exposure to extension services significantly discriminated the two groups, out of thirteen factors used in the linear discriminating Junction. Involved alone in a second-stage of model discrimination, the three variables achieved a 94.1 percent correct classification performance. The linear discriminating Junctions' coefficients were positive for the three variables, implying that the chances of belonging to the high adoption group would increase if these characteristics increased in magnitude. In scaling out crop-improvement technologies to households attention should be focused an these institutional and financial factors that best facilitated adoption of new crop germplasm. 2008 2018-04-24T08:40:06Z 2018-04-24T08:40:06Z Journal Article Ojiako, I.A., Manyong, V. & Ikpi, A. (2008). Typology of households adopting improved soybean technology: an application of the discriminant analysis model in northern Nigeria. Journal of Agricultural and Food Economics, 3(1-2), 31-42. https://hdl.handle.net/10568/92155 en Limited Access p. 31-42
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic improved soybean varieties
typology of adopters
discriminant analysis
soybean research
households
malnutrition
improved soybean varieties
typology of adopters
discriminant analysis
soybean research
households
malnutrition
spellingShingle improved soybean varieties
typology of adopters
discriminant analysis
soybean research
households
malnutrition
improved soybean varieties
typology of adopters
discriminant analysis
soybean research
households
malnutrition
Ojiako, I.A.
Manyong, Victor M.
Ikpi, A.
Typology of households adopting improved soybean technology: an application of the discriminant analysis model in northern Nigeria
description A two-stage typology of adopters and non-adopters of improved soybean varieties introduced to farmers in northern Nigeria was investigated using the discriminant analysis model. Labour expenses, active membership of associations and exposure to extension services significantly discriminated the two groups, out of thirteen factors used in the linear discriminating Junction. Involved alone in a second-stage of model discrimination, the three variables achieved a 94.1 percent correct classification performance. The linear discriminating Junctions' coefficients were positive for the three variables, implying that the chances of belonging to the high adoption group would increase if these characteristics increased in magnitude. In scaling out crop-improvement technologies to households attention should be focused an these institutional and financial factors that best facilitated adoption of new crop germplasm.
format Journal Article
topic_facet improved soybean varieties
typology of adopters
discriminant analysis
soybean research
households
malnutrition
author Ojiako, I.A.
Manyong, Victor M.
Ikpi, A.
author_facet Ojiako, I.A.
Manyong, Victor M.
Ikpi, A.
author_sort Ojiako, I.A.
title Typology of households adopting improved soybean technology: an application of the discriminant analysis model in northern Nigeria
title_short Typology of households adopting improved soybean technology: an application of the discriminant analysis model in northern Nigeria
title_full Typology of households adopting improved soybean technology: an application of the discriminant analysis model in northern Nigeria
title_fullStr Typology of households adopting improved soybean technology: an application of the discriminant analysis model in northern Nigeria
title_full_unstemmed Typology of households adopting improved soybean technology: an application of the discriminant analysis model in northern Nigeria
title_sort typology of households adopting improved soybean technology: an application of the discriminant analysis model in northern nigeria
publishDate 2008
url https://hdl.handle.net/10568/92155
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AT ikpia typologyofhouseholdsadoptingimprovedsoybeantechnologyanapplicationofthediscriminantanalysismodelinnorthernnigeria
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