The social and economic diversity of the coffee-banana farming system and technology uptake in Central Uganda

Food systems of the future that will guarantee food and nutrition security of millions of poor farming households will have to be both economically and socially diverse. Diversity of farming systems acts as a catalyst for innovation, commercialisation as well as technology adoption. This study sought to find farm typologies and explore the social, enterprise and economic diversity of the various farm types based on a promoted Growing Bananas with Trees and Livestock (GBTL) technology system that was implemented by National Agricultural Research Organisation and Bioversity International in three districts of Central Uganda, Kiboga, Nakaseke and Ssembabule. Using Principal Component Analysis (PCA) and Cluster Analysis (CA), typologies were created in which two distinct clusters of farming households were revealed. Further analysis of the clusters through Food Consumption Scores, food classes, and other descriptive statistics indicated that the two clusters were socially and economically diverse. Findings indicated that Cluster 1 is made up of smaller farms with high crop diversity. Families in Cluster 1 sell more of their produce and subsequently have lower food security compared to the land-abundant, off-farm earning and more food secure Cluster 2. We failed to reject the hypothesis that socially and economically diverse farmers adopt technologies more given that the level of GBTL adoption was about 25% and about 70% for Banana + Goats within both clusters.