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dc.contributor.authorBuyinza, J.en_US
dc.contributor.authorNuberg, I.K.en_US
dc.contributor.authorMuthuri, Catherine W.en_US
dc.contributor.authorDenton, M,.D.en_US
dc.titlePsychological Factors Influencing Farmers’ Intention to Adopt Agroforestry: A Structural Equation Modeling Approachen_US
cg.authorship.typesCGIAR and advanced research instituteen_US
dcterms.abstractThe biophysical characteristics of the farm and farmers’ socioeconomic factors have been used to explain adoption of technologies in Africa. However, agricultural technology adoption requires that we also understand the psychological factors that can encourage or discourage farmer adoption of technologies. The aim of this article is to assess the psychological drivers of farmers’ intentions to adopt agroforestry technologies on their farms. We obtained data from 400 smallholder farmers in the Mt. Elgon region of Uganda. The Theory of Planned Behavior was used as the main framework. Quantitative data were analyzed using structural equation modeling to assess the impact of a set of psychological factors on farmers’ intention to integrate trees in coffee. The intention of farmers to integrate trees in coffee plantations was mainly driven by their evaluation of the benefits of shaded coffee (attitude) followed by beliefs about their own capability (perceived behavioral control). However, social pressure (subjective norm) was insignificant, implying that smallholder farmers tend to deny the influence of other people’s behavior on their actions. Therefore, farmers’ positive evaluation of shading coffee and the perceived capability to overcome tree planting barriers reinforced their intention to integrate trees in coffee. This renders attitude and perceived behavioral control as reliable predictors of farmer tree planting behavior, especially in the context of developing countries.en_US
dcterms.accessRightsLimited Accessen_US
dcterms.bibliographicCitationBuyinza, J., Nuberg, I.K., Muthuri, C.W. and Denton, M.D., 2020. Psychological Factors Influencing Farmers’ Intention to Adopt Agroforestry: A Structural Equation Modeling Approach. Journal of Sustainable Forestry, 39(8), pp.854-865.
dcterms.licenseCopyrighted; all rights reserveden_US
dcterms.publisherInforma UK Limiteden_US
dcterms.subjectfarming systemsen_US
dcterms.typeJournal Articleen_US
cg.contributor.affiliationWorld Agroforestry Centreen_US
cg.contributor.affiliationUniversity of Adelaideen_US
cg.isijournalISI Journalen_US
cg.contributor.crpForests, Trees and Agroforestryen_US
cg.reviewStatusPeer Reviewen_US
cg.journalJournal of Sustainable Forestryen_US

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