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.
Ce guide s’adresse aux professionnels du monde rural, et au-delà, aux professionnels du développement (ONG d’appui, groupements, organisations paysannes, etc.) qui mettent en place et animent des services d’information. Le rôle de l'information est déterminant dans la pratique professionnelle. Elle est nécessaire au renforcement des connaissances et des compétences des acteurs, comme aide à l'action, à l'innovation et à la résolution des problèmes. Pour cela, elle doit être opérationnelle, pratique et directement utilisable.
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.”
Angola has so much potential as an agricultural country, with up to 50 million hectares that could be cultivated. But why
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 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
Innovation is considered as one of the key drivers for a competitive and sustainable agriculture and the European Commission highlights the importance of tailoring innovation support to farmers’ needs, especially in European Rural Development Policy (reg EU 1305/2013). The scientific literature offers a wide panorama of tools and methods for the analysis of innovation in agriculture but the lack of data on the state of innovation in the farms hampers such studies. A possibility to partially overcome this limit is the use of data collected by the Farm Accountancy Data Network (FADN).
Recent interest in inclusive innovation to serve base-of-the-pyramid markets has so far produced relatively little evidence about the role of policy. Drawing on cases from Kenya's mobile phone sector that have successfully scaled innovations to poor consumers, we suggest that policy-making is not only present, but can also have a significant role in shaping and supporting inclusive innovation systems. In these cases, inclusive innovation has been built upon a reinforcing circle of adaptive innovation, dynamic competition, and presence of innovation intermediaries within poor communities.
The study made a rigorous analysis of the production and export performance of the sector, challenges accompanying vegetables exports, backward and forward supply chain issues and requirements at the export destinations, and an assessment of government policies to address the supply side constraints in the vegetables exports.
In this paper the authors present the development of an analytical framework to study agricultural innovation systems. They divide the agricultural sector into four levels and expand the innovation system approach to study innovation processes.