Innovations generally arise out of a network of actors and relationships and network structure determines how effective networks are at fostering innovation. This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. The prototype method used is based on social network analysis methodology. This paper concludes with a final section to identify lessons learnt and makes recommendations for future research.
L’objectif de cet article est de décrire et de comprendre les comportements à innover des coopératives agricoles. Il mobilise le cadre théorique de l’économie de l’innovation. Exploitant une enquête postale sur la région Midi-Pyrénées, la typologie des comportements à innover obtenue après analyse statistique permet d’identifier cinq classes d’entreprises coopératives. Du fait de leur importance à l’amont des filières et des territoires, les coopératives apparaissent comme des intermédiaires incontournables pour répercuter les contraintes de l’aval auprès des exploitants agricoles.
Este libro, originalmente un documento de trabajo económico y sectorial del Banco Mundial, se inició como resultado de un taller internacional,“Desarrollo de sistemas de investigación para el apoyo a un cambiante sector agrícola”, que fue organizado por el Departamento de Agricultura y Desarrollo Rural del Banco Mundial en junio de 2004 en Washington, DC.
Les partisans de la souveraineté alimentaire veulent développer les agricultures locales, tandis que les avocats de la libéralisation vantent les bienfaits d’un approvisionnement à moindre coût sur les marchés. Les premiers pensent que les Etats doivent définir leur politique agricole pour répondre aux besoins de leurs populations, les seconds préfèrent le concept de « sécurité alimentaire », affirmant qu’il reconnaît aussi à chaque citoyen le droit de se nourrir à sa faim. Le combat pour la souveraineté a du mal à s’imposer dans l’arène politique.
The IPMS project proposes to ‘contribute to improved agricultural productivity and production through market-oriented agricultural development, as a means for achieving improved and sustainable livelihoods for the rural population’ in Ethiopia. To accomplish this goal the project supports development and (action) research on innovative technologies, processes and institutional arrangements in three focus areas i.e.
This report discusses general innovation issues and how they are affecting economic growth. It emphasizes how the advances in ICT, biotechnology and other fields of science are changing the innovation landscape and what are the implications for CD.
Traditional approaches to innovation systems policymaking and governance often focus exclusively on the central provision of services, regulations, fiscal measures, and subsidies.
In order to facilitate Participatory Technology Development (PTD) in African agriculture, extensionists and scientists must collaborate with local innovators to optimise (where necessary) and disseminate their innovations. This literature review proposes a conceptual model for PTD in which technology is developed in the context of an adoption cycle. Building on an innovation-decision approach, the characteristics of innovations that achieve widespread uptake are identified.
This report compiles country-reports that describe the agri-food research landscape in 2006/2007 in 33 countries associated to the 6th Framework Programme (FP6), which defined the European for the period from 2002 to 2006. Each country-report presents information about the main research players in 2006/2007 and about the current trends and the future needs for research topics and for the organisation of the agri-food research system.
The ‘Mapping Report’ is the synthesis of the statistical information and the survey results available to describe agrifood research in European countries. The main source of information was the results of a bibliometric analysis (in the EU-33 countries), a web-assisted survey (in the EU-12+2 countries) and the country reports (for the EU-15 countries) prepared in the AgriMapping project frame in 2006 and 2007. When relevant, available complementary statistics were also used.