À l’occasion de l’année internationale des coopératives, le modèle coopératif est-il trop ou pas assez glorifié ? En pointant le rôle important des coopératives pour le développement social, ses valeurs de solidarité et d’autonomie, l’Assemblée générale des Nations unies a décidé de mettre cette forme de mutualisation à l’honneur en 2012. Mais quels critères permettent de classer les coopératives au-dessus d’autres formes associatives ? Et les manières d’élaborer et de concevoir les coopératives sont-elles identiques au Sud et au Nord ?
This data article contains annotation data characterizing Multi Criteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, https://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products.
“When I first heard about the CDAIS project two years ago, I knew immediately that it was just what our group of farmers was looking for” explains Edgar Somacumbi. “We have land, seeds, tractors and all the equipment we want, and a processing plant. But moving from being farmer to agro-entrepreneurs is a complex process and requires new skills. And this is where we needed help.” CDAIS is now supporting a group of farmers to improve how they organise themselves and to help them find solutions to their problems.
"CDAIS is interesting for us because it is improving how we operate”, explains Francisco Venda, president of the Sementes do Planalto seed cooperative based in Bailundo. “We work with many partners, and the new skills have proved invaluable.” Since 2016, CDAIS has been working with this group, helping them to identify and agree their priority needs, and take steps to overcoming them. But much is yet to be done, though the high levels of energy and enthusiasm will ensure that progress will continue long after the project has ended.
Angola has so much potential as an agricultural country, with up to 50 million hectares that could be cultivated. But why
Research for development (R4D) projects increasingly engage in multi-stakeholder innovation platforms (IPs) asan innovation methodology, but there is limited knowledge of how the IP methodology spreads from one contextto another. That is, how experimentation with an IP approach in one context leads to it being succesfully re-plicated in other contexts.
Various researchers and policy analysts have made empirical studies of innovation systems in order to understand their current structure and trace their dynamics. However, policy makers often experience difficulties in extracting practical guidelines from studies of this kind. In this paper, we operationalize our previous work on a functional approach to analyzing innovation system dynamics into a practical scheme of analysis for policy makers. The scheme is based on previous literature and our own experience in developing and applying functional thinking.
This report deals with the adoption of technological innovations in the case of rice farming in Togo.
The following is a summary that introduces the report.
Farmers Training Center (FTC)-based farmer training is an emerging extension strategy geared towards human capital development through need-based, hands-on practical training in order to facilitate agricultural transformation and rural livelihood improvement. Although FTCs were established and made functional in the Tigray National Regional State and Alamata Woreda no systematic assessment of the relevance and effectiveness of the training were made.
In creating a usable Information System (IS), the quality of information is crucial for making the right decisions. Although, many Information Quality (IQ) features have been identified in a broader context, only certain IQ features would become applicable for each domain from the usability perspective. This study focuses on a theoretical analysis to identify the IQ features which would be significant to produce a usable agricultural information system with respect to the developing countries.