The article examines the effect of membership in farmer groups (MFG) on adoption lag of agricultural technologies and farm performance in Burundi, the Democratic Republic of Congo and Rwanda. We use duration and stochastic production frontier models on farm household data. We find that the longer the duration of MFG, the shorter the adoption lag and much more so if combined with extension service delivery. Farmer groups function as an important mechanism for improving farm productivity through reduced technical inefficiency in input use.

The Great Lakes region of Central Africa is an area abundant in hills, people and conflicts. Its high altitude and cooler climate make it ideal for agriculture. But soils have been exhausted, spare land is no longer available, and farm households in parts of this region rank among the most food insecure and malnourished on earth. Years of civil conflict have moreover paralyzed agricultural advisory and extension services and resulted in poor access to markets.

A platform of farmers, retailers and service providers, civil society organisations, NGOs, government officials, and researchers improves livelihoods in Rwanda. Through interaction and collaboration, these groups experiment with various technological and institutional innovations, thereby tackling local agricultural challenges. This experience illustrates the importance of institutionalising a space where knowledge can be co-created