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Modelling adoption intensity of improved soybean production technologies in Ghana - a Generalized Poisson approach

Soybean is an important cash crop especially for farmers in the north of Ghana. However, cultivation of the commodity is dominated by smallholders equipped with traditional tools, coupled with low or no adoption of improved soybean production technologies. Using primary data collected from 300 soybe...

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Detalles Bibliográficos
Autores principales: Mahama, Abass, Awuni, Joseph A., Mabe, Franklin N., Azumah, Shaibu Baanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062926/
https://www.ncbi.nlm.nih.gov/pubmed/32181404
http://dx.doi.org/10.1016/j.heliyon.2020.e03543
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author Mahama, Abass
Awuni, Joseph A.
Mabe, Franklin N.
Azumah, Shaibu Baanni
author_facet Mahama, Abass
Awuni, Joseph A.
Mabe, Franklin N.
Azumah, Shaibu Baanni
author_sort Mahama, Abass
collection PubMed
description Soybean is an important cash crop especially for farmers in the north of Ghana. However, cultivation of the commodity is dominated by smallholders equipped with traditional tools, coupled with low or no adoption of improved soybean production technologies. Using primary data collected from 300 soybean farmers across northern Ghana, the study employed count data modelling to estimate the determinants of adoption intensity of sustainable soybean production technologies. The study accounted for potential estimation errors due to under-dispersion and over-dispersion, by using a model based on the generalized Poisson distribution. On the average, a farmer adopted 50% of the identified sustainable soybean production technologies. Age, education, extension visits, mass media through radio, and the perception of adoption of soybean production technologies being risky are significant with positive influence on the adoption intensity of sustainable soybean production technologies. The study therefore recommends among others, that various extension programmes should intensify education on the benefits of adopting sustainable soybean production practices. There is the need to set up many technology demonstration farms to give farmers hands-on training during field days.
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spelling pubmed-70629262020-03-16 Modelling adoption intensity of improved soybean production technologies in Ghana - a Generalized Poisson approach Mahama, Abass Awuni, Joseph A. Mabe, Franklin N. Azumah, Shaibu Baanni Heliyon Article Soybean is an important cash crop especially for farmers in the north of Ghana. However, cultivation of the commodity is dominated by smallholders equipped with traditional tools, coupled with low or no adoption of improved soybean production technologies. Using primary data collected from 300 soybean farmers across northern Ghana, the study employed count data modelling to estimate the determinants of adoption intensity of sustainable soybean production technologies. The study accounted for potential estimation errors due to under-dispersion and over-dispersion, by using a model based on the generalized Poisson distribution. On the average, a farmer adopted 50% of the identified sustainable soybean production technologies. Age, education, extension visits, mass media through radio, and the perception of adoption of soybean production technologies being risky are significant with positive influence on the adoption intensity of sustainable soybean production technologies. The study therefore recommends among others, that various extension programmes should intensify education on the benefits of adopting sustainable soybean production practices. There is the need to set up many technology demonstration farms to give farmers hands-on training during field days. Elsevier 2020-03-05 /pmc/articles/PMC7062926/ /pubmed/32181404 http://dx.doi.org/10.1016/j.heliyon.2020.e03543 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Mahama, Abass
Awuni, Joseph A.
Mabe, Franklin N.
Azumah, Shaibu Baanni
Modelling adoption intensity of improved soybean production technologies in Ghana - a Generalized Poisson approach
title Modelling adoption intensity of improved soybean production technologies in Ghana - a Generalized Poisson approach
title_full Modelling adoption intensity of improved soybean production technologies in Ghana - a Generalized Poisson approach
title_fullStr Modelling adoption intensity of improved soybean production technologies in Ghana - a Generalized Poisson approach
title_full_unstemmed Modelling adoption intensity of improved soybean production technologies in Ghana - a Generalized Poisson approach
title_short Modelling adoption intensity of improved soybean production technologies in Ghana - a Generalized Poisson approach
title_sort modelling adoption intensity of improved soybean production technologies in ghana - a generalized poisson approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062926/
https://www.ncbi.nlm.nih.gov/pubmed/32181404
http://dx.doi.org/10.1016/j.heliyon.2020.e03543
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