The paper explores the strength of social networks in the agricultural innovation systems (AISs) in Ghana and the effect of AISs on adoption of improved farm technology. The paper uses social network analysis (SNA) tools to identify, map and analyze the AISs and the two-stage Heckman selection model. Combining qualitative and quantitative methods allows testing the differential effects of social networks on technology adoption in the Ghananian Plantain Sector
Agriculture faces an enormous global challenge of feeding nine billion people by 2050. This means a comprehensive intensification of agriculture is required. Ecological intensification is gaining momentum as a clearly defined vision for increasing agriculture productivity and sustainability. How ecological intensification could be tailored to benefit smallholder farming systems in sub-Saharan Africa (SSA) remains the major question. In this study, we develop pathways relying on ecological intensification technologies and suiting different farm types of smallholder agriculture.
Smallholder producers in sub-Saharan Africa are often unable integrate into markets and access high-value opportunities by effectively participating in global chains for high-value fresh produce. Using data from a survey of large avocado farmers in Kenya, this study examines the determinants and impacts of smallholder-producer participation in avocado export markets on labor inputs, farm yields, sales prices, and incomes, using a switching regression framework to control for selection effects