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.
The report synthesises the research conducted under the PRO AKIS project for the topic "Designing, implementing and maintaining agricultural/rural networks to enhance farmers’ ability to innovate in cooperation with other rural actors".
The present case study investigated a policy-induced agricultural innovation network in Brandenburg.
The aim of this document is to produce a state-of-the-art of the academic literature in order to identify theories and concepts available for: a) describing the structure, the dynamics and the functioning of agricultural advisory services; b) understanding how these services are embedded into national Agricultural Knowledge and Innovation Systems (AKIS), and into various agricultural and rural policies across the European Union (EU) countries; c) providing some conceptual elements to support the methodology for an inventory of agricultural advisory services in EU 27 countries (WP3 of the PR
This report has the aim of contributing to the PRO AKIS overall goal of exploring and identifying the possibilities, conditions and requirements of rural networks to enhance the farmers’ ability to create, test, implement and evaluate innovation in cooperation with other actors.In particular, the report presents two cases: the Small Fruit Cluster (SFC) and the Drosophila Suzukii Monitoring (DSM) network. The SFC is a nationwide, multi-actor network composed of several actors, interacting in the small fruit sector in Portugal.
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.
This presentation describes the sucessful experiences of capacity development for livestock production carried out in Vietnam and Cambodia. This seminar was presented in the 15th International Symposium of Veterinary Epidemiology and Economics in November, 2018. The presentation discuss about transnational research in food safety in low-and middle-inmcome countries (LMIC), the importance of bridging institutions and policies and the reached achivements
The general aims of this chapter are to provide an overview of the historical development of rural advisory and knowledge provision in Vietnam, and how legal frameworks have changed over time, demonstrate how more client-centered extension approaches can be translated and utilized at the field level, and focus on examples of novel approaches to knowledge generation and diffusion, those currently evolving due to initiatives driven by state, private and NGO actors, or developed within the framework of the Uplands Program.
In Vietnam, while glutinous rice farming represents a very small sub-sector of rice production, it plays an important role in the food and cultural security of farming households in many remote areas. This paper examined glutinous rice farming in households, as a food and for cultural security, and the extension services in areas producing glutinous rice. Data were collected from 400 local farmers based on interview schedules and statistical analysis using the percentage, arithmetic mean, and hypothesis testing with logistic regression