Le projet CALAO – Capitalisation d’expériences d’acteurs pour le développement de techniques agroécologiques résilientes en Afrique de l’Ouest – a été mis en œuvre au cours de l’année 2017 dans le cadre du Projet d’appui à la sécurité alimentaire en Afrique de l’Ouest (PASANAO), financé par l’AFD et dont la maîtrise d’ouvrage est assurée par la CEDEAO.
La production et la commercialisation de lait en Afrique de l’Ouest fait partie intégrante de l’économie et du mode de vie des familles d’éleveurs ruraux. La filière présente des potentiels de croissance certains avec un cheptel important, un secteur de la transformation dynamique et des débouchés en forte augmentation du fait de la croissance démographique et de l’urbanisation. Cette filière lait local est cependant aux prises à de nombreuses difficultés internes qui limitent fortement son développement.
Note de synthèse du rapport réalisé par la commission Agriculture et alimentation (C2A) de Coordination SUD. Il met en lumière les enjeux d’une adaptation des agricultures familiales aux changements climatiques sous l’angle des politiques publiques à partir de l’étude de cas des politiques mises en place au Costa Rica, au Niger et au Vietnam.
La agricultura familiar de los países del Sur constituye uno de los sectores más directamente afectados y amenazados por los cambios climáticos. La cuestión de la adaptación, y en particular, la de la adaptación de la agricultura, ha ido ganando terreno en el transcurso de la última década en las agendas políticas nacionales e internacionales.
In this paper its argued that when flexibly applied and adapted to capture dynamics typical in systems innovation projects, the Log Frame Approach (LFA) ( and logical frameworks have considerable utility to support evaluation for both learning and accountability, and for identifying and addressing institutional logics, which leads to system innovation.
Primary Innovation is a five year collaborative initiative demonstrating and evaluating co-innovation, a systemic approach to innovation addressing complex problems, in five ‘innovation projects’ (active case studies) in different agricultural industries. In defining the elements of co-innovation, Primary Innovation has emphasised nine principles which guide activity in the innovation projects.
This paper describes a process for stimulating this engagement to develop a shared understanding of systemic problems, challenge prevalent institutional logics, and identify individual and collective actions that change agents might undertake to stimulate system innovation. To achieve this the process included (i) multiple actors from the agricultural innovation systems, (ii) steps to prompt reflexivity to challenge underlying institutional logics, (iii) an iterative process of practical experimentation to challenge current practices, and (iv) actions to encourage generative collaboration.
This study identifies systemic problems in the New Zealand Agricultural Innovation System (AIS) that affect the ability of participants in the agricultural sectors to co-develop technologies. We integrate structural and functional streams of innovation system enquiry, gathering data through 30 semi-structured interviews with individuals in Government, industry and research. Interviews explored perceptions of the influence of actors, interactions, institutions, infrastructure, and market structure on the effectiveness of AIS functions.
In this article it is analysed the results of applying a co-innovation approach to five research projects in the New Zealand primary sector. The projects varied in depth and breadth of stakeholder engagement, availability of ready-made solutions, and prevalence of interests and conflicts. The projects show how and why co-innovation approaches in some cases contributed to a shared understanding of complex problems. Our results confirm the context-specificity of co-innovation practices
This paper details the analytical framework used for developing a nested understanding of systemic innovation capacity in an AIS. The paper then introduces the two case studies, along with the data and methods of analysis, followed by a presentation of the results as timelines of configurations of capabilities at different levels of the AIS.