SALSA is an EU Horizon 2020 project that set out to assess the current and future role of small farms and related small food businesses (suppliers, processors, distributors) in achieving sustainable Food and Nutrition Security (FNS). SALSA studied small farms in 30 reference regions in 20 countries - 25 regions (at the so-called NUTS3 administrative level) in Europe and 5 regions in Africa.
SALSA est un projet Horizon 2020 de l'UE qui visait à évaluer le rôle actuel et futur des petites exploitations agricoles et des petites entreprises alimentaires associées (fournisseurs, transformateurs, distributeurs) dans la réalisation d'une sécurité alimentaire et nutritionnelle (SNA) durable. SALSA a étudié de petites exploitations dans 30 régions de référence dans 20 pays : 25 régions (au niveau administratif dit NUTS3) en Europe et 5 régions en Afrique.
Les petites exploitations agricoles du nord de l’Europe côtoient certaines des exploitations les plus grandes – et dans certains cas, les plus industrialisées – de toute l’Europe.
There have been repeated calls for a ‘new professionalism’ for carrying out agricultural research for development since the 1990s. At the centre of these calls is a recognition that for agricultural research to support the capacities required to face global patterns of change and their implications on rural livelihoods, requires a more systemic, learning focused and reflexive practice that bridges epistemologies and methodologies.
The farmer field school (FFS) concept has been widely adopted, and such schools have the reputation of strengthening farmers’ capacity to innovate. Although their impact has been studied widely, what is involved in their scaling and in their becoming an integral part of agricultural innovation systems has been studied much less. In the case of the Sustainable Tree Crops Programme in Cameroon, we investigate how a public–private partnership (PPP) did not lead to satisfactory widespread scaling in the cocoa innovation system.
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
In this paper, it is explored the strategic role of Multi-stakeholder processes (MSP) in agricultural innovations and how ithas impacted livelihood assets’(LAs) capital dynamics ofstakeholders in platforms in West Africa.The authors demonstrate how LA capitalsand socio-economic dynamics induced by MSP can enhancecassava production efficiency but also create opportunities andchallenges that influence platform dynamics and impacts. We usea multistage sampling procedure and sustainable livelihoodmodel (e.g.
The latest comprehensive research agenda in the Journal of Agricultural Education and Extension was published in 2012 (Faure, Desjeux, and Gasselin 2012), and since then there have been quite some developments in terms of biophysical, ecological, climatological, social, political and economic trends that impact farming and the transformation of agriculture and food systems at large as well as new potentially disruptive technologies.
This paper seeks to understand what influences research and extension professionals’ intentions to use AIS approaches and to explore how this can inform implementation and design of more effective AIS. We applied the Reasoned Action Approach through focus groups and structured questionnaires with research and extension professionals from government and non-government organisations in Sierra Leone, where AIS approaches are not widely used although increasingly institutionalised in policy.
The building of sustainable innovation capabilities in Africa requires an innovation system capable of producing, disseminating and using new knowledge. This paper assesses the process of constructing the National Innovation System (NIS) in Rwanda. It is posited that consensus on and acceptance of the concept of NIS among stakeholders is crucial in the early process of constructing an efficient and dynamic innovation system. Primary empirical data are presented for the case of Rwanda and analyzed in a regional context.