Predictors of Agricultural Technology Adoption Among the Cassava Farmers in the North- Central Nigeria (Published)
This research paper delves into the underexplored realm of agricultural technology adoption behaviour among cassava farmers in North Central Nigeria, with a focus on elucidating the predictors of technology adoption within the region. Leveraging a quantitative survey research design, data was collected from 377 cassava farmers through structured questionnaires. Findings reveal significant relationships between various factors such as performance expectancy, effort expectancy, social influence, facilitating conditions, price value, hedonic motivation, prior experience, and the adoption of agricultural technology. Through multiple linear regression analyses, it was established that these factors exert substantial influences on technology adoption behaviour among cassava farmers. Based on empirical evidence, policy recommendations were formulated to enhance the adoption of agricultural technologies among cassava farmers, aiming to foster a transition from subsistence to commercial farming, thereby bolstering agricultural productivity and socio-economic development in the region. These recommendations encompass governmental support for improved cassava seedlings, duty-free importation of agricultural implements, procurement and distribution of tractors, expansion of extension services, fertilizer production facilities, subsidized procurement of agricultural machinery, and enhanced importation policies for agro-chemicals. This research contributes to a deeper understanding of the complex dynamics underlying technology adoption in agricultural contexts, offering insights for policymakers, practitioners, and researchers alike.
Keywords: Nigeria, agricultural technology adoption, cassava farmers, effort expectancy, facilitating conditions, hedonic motivation, performance expectancy, price value, prior experience, social influence