Esta presentación describe la experiencia y lecciones aprendidas en el proyecto de implementación de las Escuelas de Campo en la región de Trifino.
El trabajo muestra cómo transcurre la gestión del conocimiento (GC) en el Sistema de Innovación Agropecuaria Local (SIAL), lo cual constituye un instrumento de trabajo para los gobiernos locales. Se realiza un abordaje teórico de la categoría GC, su llegada a Cuba y las particularidades de su aplicación. Expone los conceptos fundamentales para entender las relaciones entre gestión del conocimiento e innovación para el desarrollo agropecuario local y presenta los resultados de la gestión del conocimiento en el SIAL.
Este artículo inicialmente aborda a la gestión del conocimiento como factor de desarrollo de una sociedad o de una región. Gestionar conocimiento implica generar condiciones para la creación e intercambio de conocimiento, para apoyar estos procesos es necesario articular sistemas organizativos que promuevan la activación de capitales intangibles y endógenos, como el conocimiento.
Esta es la primera de 4 guías desarrolladas por la Alianza de Aprendizaje; cada una de ellas correspondiente a uno de los cuatro módulos de capacitación aplicados durante el Ciclo de Aprendizaje 2008 – 2010 de la Alianza Nicaragua, con el fin de fotalecer la gestión empresarial de organizaciones de productores y sus proveedores de servicios empresariales mediante un proceso sólido de seguimiento y evaluación, el cual permita sistematizar los cambios significativos generados en el proceso de fortalecimiento y generar lecciones aprendidas.
According to the literature on regime transition, niches are sources of innovation that may lead to the transformation of the dominant regime, if processes at other level of the system – the landscape and the mainstream regime - are supportive. A focus on actors involved in the transition process and the analysis of their specific role in knowledge networks can help assessing the robustness of a specific niche and its growth potential. Knowledge systems, and in particular the dynamics of local and expert knowledge, have in fact a key role in innovation models.
Increasing attention is being given to evaluating the impact of advisory services in terms of their effectiveness in providing farmers with knowledge and networks for innovation as well as understanding the factors that influence this effectiveness (Prager et al, 2017). The demand and uptake of advisory services is one factor and Klerkx et al (2017) comment on the variation in farmers’ demand and the influences of variables such as farm size, asset status and education as well as stability or turbulence in the regulatory environment.
The aim of this work was to identify procedures adopted by family farms in the centre and north of Portugal and Galicia (Spain), and to verify whether they resemble those used in organic farming. A checklist was prepared in Portuguese and Spanish and applied personally to managers of family farms. The participation was voluntary and 125 valid responses were collected.
The European small ruminants (i.e. sheep and goats) farming sector (ESRS) provides economic, social and environmental benefits to society, but is also one of the most vulnerable livestock sectors in Europe. This sector has diverse livestock species, breeds, production systems and products, which makes difficult to have a clear vision of its challenges through using conventional analyses. A multi-stakeholder and multi-step approach, including 90 surveys, was used to identify and assess the main challenges for the sustainability of the ESRS to prioritize actions.
Agricultural production is a crucial and fundamental aspect of a stable society in China that depends heavily on the climate situation. With the desire to achieve future sustainable development, China’s government is taking actions to adapt to climate change and to ensure food self-sufficiency.
The profound changes in European policy for farms advisory services (FAS) require a period of experimentation and results observation before the new CAP 2021-2027. This paper focuses on Measure 2 of Rural Development Programme (RDP) 2014-2020. The paper is focused on the description of case studies in three Italian regions: Campania, Emilia-Romagna and Veneto. Different Measure 2 – sub-measure 2.1 models are analyzed through a qualitative approach, using a conceptual framework adapted by Birner et al. (2009).