Anotace:
Improved rice production techniques are being promoted in Ghana as a way of enhancing sustainable productivity among farmers. Despite the important role that the adoption of improved rice production technologies plays in improving output, very few studies, especially in the context of Northern Ghana, have been conducted to analyse the factors influencing their intensive adoption. In this study, we compared the results of negative binomial, Poisson and zero inflated Poisson (ZIP) models to analyse the determinants of intensity of adoption of improved rice production techniques, using primary data collected from 543 rice farmers in the Upper East and Northern regions of Ghana. Based on model diagnostics, we accept the results of the ZIP model. The empirical results confirm the relevance of technology demonstration fields, farmers’ experience, training, and sex of the farmer in enhancing and sustaining the adoption of improved agricultural technologies. Household extension method, research and extension, and farm size should also be considered in promoting the adoption of improved practices among rice farmers since these covariates had significant relationship with the intensity of adopting improved agricultural technologies.