El objetivo de este trabajo es analizar el Cluster de Frutas Dulces de Lleida-Huesca y los elementos que intervienen en las interrelaciones entre los grupos de interés (stakeholders). Se realizaron entrevistas a expertos y encuestas a procesadoras, cuya información ha permitido caracterizar el cluster y las empresas, así como los elementos que determinan la Calidad de la Relación entre dichas empresas y grupos.
Para el análisis de la situación del sector hortícola en Aranjuez, se procedió en varios pasos, los cuales constituyeron la primera fase de la investigación y contemplaron lo siguiente: 1. La identificación de los problemas y de las demandas de los actores de la cadena, realizando cortes transversales en el mercado a distintos niveles para conocer los puntos de vista de los operadores de la cadena.
This report explores the role of rural networks in enhancing innovation processes, questioning the features of the agricultural/rural networks could enhance farmers’ ability to co-innovate in cooperation with other actors. The prospect of this investigation is also to provide interesting and significant experiences that constitute examples for the ‘European Innovation Partnership’ by increasing farmers’ capacities to create, test, implement and evaluate innovations in cooperation with other rural actors.
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.
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.
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).
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.
Social media (SM) such as Twitter and Facebook are new communication tools for rural communities, and SM has enabled the creation of rural social networks. Increased use by farmers of 'mobile digital devices' and better rural access to broadband services have enhanced so that SM is being used to support farming decisions. However, in depth studies on how SM is used for knowledge sharing amongst farmers and the role of rural professionals (e.g. advisors) in this space is an emergent field with limited literature.