Au Bénin, le soja connaît un accroissement de la production ces dernières années grâce au développement d’in-novations technologiques, organisationnelles et institutionnelles. Mais ces innovations susceptibles d’accroître la productivité, la compétitivité et la viabilité des exploitations agricoles ne sont pas adoptées à grande échelle dans au centre du Bénin. La présente étude a effectué une analyse de la mise en œuvre des systèmes d’innovation de soja au Centre-Bénin pour induire des changements dans les comportements des acteurs et dans les systèmes de production.
Lors de l'intervention d'une plate-forme d'innovation (groupe d'acteurs concernés) dans un domaine donné, nous avons tendance à attribuer les causes du changement aux actions de cette plate-forme. Cet article utilise le cas d'une plate-forme d'innovation dans le secteur du karité au Mali pour analyser comment les plates-formes d'innovation produisent les résultats escomptés.
This paper examines different practical methods for stakeholders to analyse power dynamics in multi-stakeholders processes (MSPs), taking into account the ambiguous and uncertain nature of complex adaptive systems. It reflects on an action learning programme which focused on 12 cases in Africa and Asia put forward by 6 Dutch development non-governmental organizations (NGOs).
Knowledge on indigenous chicken production exists but its potential is not yet fully exploited. Although the actors could be known, it is not clear where value is lost or gained, neither is it clear which of the actor gains or losses most, nor the challenges they face. Moreover, if some of the actors are exploited and therefore, realize glaring losses, the entire value chain will be affected and this will affect not only the actors who earn a direct living from the chain, but the entire nation for loss of gainful employment and revenue.
This paper analyzes the operational constraints experienced by the different actors in the rice value chain in Myanmar. Both primary and secondary data on the rice value chain in Ayeyarwaddy Region, the main rice-growing area in Myanmar, were collected. The actors in the region suffer from constraints in material input, production, financial, distributional, and institutional. This study examines the actors’ profitability, together with their sociodemographic and operational characteristics, to provide proper policy guidelines to address constraints
Angola has so much potential as an agricultural country, with up to 50 million hectares that could be cultivated. But why
"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.
Rice is produced in other parts of Angola, but not in the area around Bailundo, though conditions are favourable and there is much local demand. Building on the provision of technical expertise from other organisations, CDAIS is adding capacity development of another sort, of the ‘soft skills’ required to collaborate, learn, engage and adapt. “Now we will grow rice forever” says Marcos Satuala. “This innovation has given us a great thing – a new crop for us. And with CDAIS we can learn more, and grow more, for our families and to sell.”
“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.
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.