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.
The expected results of this report are the full understanding and identification of the frame that answers the following questions: To what level policymakers in Tunisia are committed? On what exact base the agricultural decisions, whether to support an innovation or not, are made? To answer these questions, interviews were made with key partners from public institutions on each success/failure case to identify the major strengths and weaknesses related to each agricultural innovation
The objectives of this study twofold (i) First to assess farmer's perceptions of IT and secondly (ii) to determine the major factors influencing farmer's adoption decisions. This study offers for policy makers important considerations that could stimulate and sustain adoption of these IT in Tunisian arid agricultural areas. The present study is based on the hypothesis that the farm adoption decision of farmers has no relationship with the type of technology
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.
The objectives of this study were 1) to describe farming systems in Zoghmar community at Sidi Bouzid site; 2) analyze the existing lamb production chain and 3) develop potential technical and organizational pathways to better respond to farmers and consumers needs. A total of 120 surveys was conducted in Sidi Bouzid region including sheep owners, butchers and consumers. The project initiated the formation of a farmers association at Zoghmar community to establish a transparent lamb production chain.
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.