The international workshop on Agricultural Innovation Systems in Africa (AISA) was held in Nairobi, Kenya, on 29–31 May 2013. Its main objectives were to learn jointly about agricultural innovation processes and systems in Africa, identify policy implications and develop policy messages, and explore perspectives for collaborative action research on smallholder agricultural innovation.The workshop focused on sharing experiences in trying to understand and strengthen multi-stakeholder innovation processes and the role of smallholders in innovation, and identifying and discussing priorities an
Numerous innovation platforms have been implemented to encourage the adoption of agricultural innovations and stakeholder interactions within a value chain. Yet little research has been undertaken on the design and implementation of innovation platforms focussing on issues other than market access and aiming to encourage agro-ecological intensification.
Cet article présente les résultats clés tirés de l’analyse transversale de 13 expériences d’innovation agricole menées au Bénin, au Kenya et en Afrique du Sud. L’évaluation a utilisé un cadre analytique commun inspiré de l’approche systèmes d’innovation pour comprendre comment l’innovation a évolué au fil du temps via les interactions entre différents acteurs et sous l’effet d’éléments déclencheurs et moteurs internes et externes.
La recherche et le développement dans le secteur agricole et agroalimentaire sont de plus en plus interpellés dans leurs capacités à répondre à la demande sociale et à contribuer au développement durable ou à la lutte contre la pauvreté.
Une analyse de trajectoires d’innovations agricoles au Bénin observées dans la longue durée permet d’en identifier les facteurs de diffusion à grande échelle. Beaucoup d’innovations passent inaperçues sur de longs tronçons de leur trajectoire, étant endogènes ou impliquant des acteurs non « conventionnels » et pas d’organisations de recherche. Les innovations qui passent à grande échelle sont en fait des faisceaux d’innovations technologiques, institutionnelles ou organisationnelles qui s’enchaînent les unes en réponse aux contraintes des autres.
This paper presents and discusses a diagnostic framework to identify institutional processes in the creation of public-private partnerships (PPPs) for agricultural innovation. The diagnostic framework proposed here combines a conceptualisation of institutions with a conceptualisation of technology. We argue that a performative notion of institutions provides a better tool for institutional diagnostics than the common understanding of institutions as ‘rules of the game’.
in the context of the EU-funded JOLISAA (JOint Learning in Innovation Systems in African Agriculture) project, four local innovation processes involving smallholders in Benin were selected for in-depth assessment: innovation in hwedo agrofishing, integrated soil fertility management (ISFM), rice parboiling and soy value chains. Stakeholders directly involved in the innovation process were interviewed.
Smallholder rice farming is characterized by low returns and substantial environmental impact. Conversion to organic management and linking farmers to fair trade markets could offer an alternative. Engaging in certified cash-crop value chains could thereby provide an entry path to simultaneously reduce poverty and improve environmental sustainability. Based on comprehensive data from a representative sample of approximately 80 organic and 80 conventional farms in northern India, we compared yield and profitability of the main rotation crops over a period of five years.
Participation is connected to technology through the notion of innovation systems. To make the connection work, it is argued, the focus has to shift from a framing of participation in terms of democratic entitlement to a framing in terms of the settlement of issues (i.e. politics from below), The innovation system is an appropriate notion to see where issues are likely to lock on to processes of technological change.
Esta revisión de la literatura muestra la diversidad de puntos de vista en la caracterización del AIS (visión estructural, visión funcional, visión ba-sada en procesos, visión basada en capacidades). Estas diferentes visiones del AIS se basan en diferentes hipótesis y abarcan diferentes métodos de análisis del AIS. Los académicos consideran que estos puntos de vista son complementarios y útiles para una evaluación operativa del AIS. Debido a esta multiplicidad de puntos de vista analíticos, se ha desarrollado un gran número de métodos.