Gilbert Dagunga

TL;DR: In this article, the authors used an endogenous-switching Poisson regression model to determine the drivers of farmers' participation in climate change capacity building programs and the concomitant effect of participation on adoption intensity of Climate Smart Agricultural Practices (CSAPs).

TL;DR: In this paper, the authors identified the determinants of adoption and intensity of adoption of Zai technology for soil fertility management for the Upper East region, Ghana. But adoption of this environmentally-friendly technology is low.

TL;DR: The results show that non-farm income diversification increases the likelihood of Zai-technology adoption and contributes to significant household welfare gains, and suggest that the activities of agricultural extension services and farmer-based organizations should be enhanced as they facilitate the diversification ofnon-farm incomes, thereby increasing investment in productivity-enhancing technologies (Zai) and household welfare.

TL;DR: In this article, the authors identified the determinants of farm households' decision to adopt Zai technology as well as its impact on their welfare using randomly collected cross-sectional data from northern Ghana.

TL;DR: In this article, the authors used a double-censored Tobit model in a conditional mixed-process (CMP) framework to estimate the impact of crop diversification on household food security.