Given the diversity and context-specificity of innovation systems approaches, in March 2007 the World Bank organized a workshop in which about 80 experts (representing donor agencies, development and related agencies, academia, and the World Bank) took stock of recent experiences with innovation systems in agriculture and reconsidered strategies for their future development. This paper summarizes the workshop findings and uses them to develop and discuss key issues in applying the innovation systems concept. The workshop’s recommendations, including next steps for the wider
Innovation is high on the agenda, in view of the deep economic crisis and the challenges of feeding 9 billion people in 2050 in a more sustainable way. For an effective and efficient response the Agricultural Knowledge and Innovation Systems (Akis) needs to innovate itself and adopt new ways of working.
In this paper, presented at the 8th European IFSA Symposium ( Workshop 6: "Change in knowledge systems and extension services: Role of the new actors") in 2008, the authors discuss a conceptual framework that understands innovation processes as the outcome of collaborative networks where information is exchanged and learning processes happen. They argue that technical and economic factors used to analyse drivers and barriers alone are not sufficient to understand innovation processes.
This paper, presented at the 8th European IFSA Symposium ( Workshop 6: "Change in knowledge systems and extension services: Role of the new actors") in 2008, discusses the FutureDairy project, which is developing more productive forage and feeding systems and testing technical innovations such as robotic milking in Australian pasture based dairy systems.
Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.
The private sector’s presence in agricultural advisory services worldwide has been on the increase for over three decades. This trend has also been observed in the Mantaro Valley (Peru), in a context of dairy family farming. The objective of the communication is to analyse the modalities of advisory services privatization and assess the consequences of this privatization for the farmers and their livestock systems. Data were collected through input suppliers, different types of advisers and producers interviews.
This paper outlines key areas of intervention that are identified as the core of FAO's strategy on strengthening Agricultural Innovation Systems (AIS) across multiple areas of work (e.g. research and extension, agroecology, biotechnology, green jobs, resourcing etc.) for achieving sustainable rural development.
The report entitled ‘Innovation in the Irish Agri-food Sector’ was compiled by researchers from the University College of Dublin (UCD) following interviews with stakeholders from across the sector, and an analysis of data from Eurostat, the OECD, and the Teagasc National Farm Survey. The report also shows that the sector is strong in terms of research capacity, overall education levels, and favourable tax regimes to encourage business innovation. The report was launched at the international conference ‘Driving Innovation in the Irish Agri-Food System', held in June 2014 at the UCD.
The paper discusses the role of advisory services within agricultural innovation systems; the importance of enhanced capacities for better performance at individual, organisational, and enabling environment level; the constraints and roles of actors at national, regional, and global level; and recommendations for action and partnerships to strengthen capacities and the role of advisory systems at all levels.
Este artículo no publicado buscó construir indicadores sencillos para agencias de extensión rural, describir la capacidad de movimiento por agente en un medio específico y relacionar variables referidas a consumo de combustible, jornadas de capacitación y capacitandos por año por agente. Se analizó una base de datos de consumos de la Agencia de Extensión Rural Caucete, se clasificó la información por período (trimestre de gasto), tipo de gasto y agente generador de gasto. Se utilizó el programa Excel y se calcularon estadísticos descriptivos de posición y dispersión.