Utilization of systems approach using multistakeholder process as modality of intervention has been increasingly experimented in agricultural research in tropical zones. Recent research findings indicated strong evidence of the positive contribution of research for development (R4D) and innovation platforms (IP) in increasing the impact of research for development interventions. However, specific factors of the process leading to higher impact yet to discovered.
Rapid Appraisal of Agricultural Innovation Systems (RAAIS) is a peer-reviewed research for development tool that has been developed, tested and used in 18 countries across 3 continents.
RAAIS supports the identification and analysis of complex agricultural problems in agrifood systems. The joint assessment of problems and identification of innovations to overcome these problems with farmers, policymakers, private sector and other stakeholders provides a starting point for collective action towards achieving development outcomes and impact.
Multi-stakeholder (MS) platforms, such as innovation platforms (IP), public-private partnerships (PPP) are becoming more common but what they can achieve in innovation and scaling is limited and depends on different factors. This poster and the broader research paper provide evidence what MS platforms can and cannot achieve in their early phases and give insights about effectiveness and efficiency of Agricultural Research for Development (AR4D) interventions such as CGIAR research programs (CRPs) in low and middle income countries.
Farmers in the Lake Victoria crescent zone have over the years struggled with pests and diseases in a country full of fake agricultural inputs, access to markets, post-harvest losses, declining soil fertility and the changes of weather. The production for most farmers is rain fed and is greatly affected by climatic changes. The Mukono Wakiso innovation platform (IP) was formed to help farmers find solutions to these issues.
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.
Although the political context in Uganda exhibits democratic deficit and patronage, research and development actors have given little attention to the possible negative impact these may have on agricultural policymaking and implementation processes. This article examines the influence of power in perpetuating prevailing narratives around public participation in agricultural policymaking processes.