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CIFOR-ICRAF s’attaque aux défis et aux opportunités locales tout en apportant des solutions aux problèmes mondiaux concernant les forêts, les paysages, les populations et la planète.

Nous fournissons des preuves et des solutions concrètes pour transformer l’utilisation des terres et la production alimentaire : conserver et restaurer les écosystèmes, répondre aux crises mondiales du climat, de la malnutrition, de la biodiversité et de la désertification. En bref, nous améliorons la vie des populations.

CIFOR–ICRAF publishes over 750 publications every year on agroforestry, forests and climate change, landscape restoration, rights, forest policy and much more – in multiple languages.

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Factors affecting the adoption of agricultural innovation: the case of a Ricinodendron heudelotii kernel extraction machine in southern Cameroon

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Agroforestry is now accepted as a sustainable way of improving existing cropping systems. As with other agricultural innovations, the adoption of agroforestry practices depends on farmers’ perceptions of the benefits that would arise from the use of these practices. Ricinodendron heudelotii (Baill. Pierre ex Pax.) or njansang (in Bassa local language) is a tropical tree, the kernels of which are in high demand in Cameroon as a thickening ingredient. Njansang is suitable for integration in agroforestry systems in the area, but its expansion is constrained by difficulties in kernel extraction, which has been exclusively manual so far. This paper investigates the factors that determine producers’ attitudes towards the introduction and use of a kernel extraction machine. Among the issues investigated were characterization of users, comparison of mechanical and manual extraction, users’ appreciation of the machine and willingness to continue to use the machine. Using a structured questionnaire, 81 njansang producers from three categories were randomly selected from five villages in southern Cameroon. We further investigate how attributes of an innovation influence the adoption of the machine. Results from a principal component analysis and logistic regression suggest that the age and education of producers, annual income from njansang, the number of njansang trees exploited and the purchase price of the machine are important variables in determining its adoption. The use of the machine allows producers to spend less time on njansang kernel extraction, thereby increasing returns in labour and offering opportunities to increase the number of trees a household can exploit.

DOI:
https://doi.org/10.1007/s10457-015-9813-y
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