La façon donc les organismes de recherche et d'appui aux agriculteurs participent aux processus de développement de l'agriculture et du monde rural fait l'objet de débats. Ceux-ci portent à la fois sur la compréhension des besoins réels des agriculteurs et sur les formes de coordination entre les différents acteurs de la production de connaissances traduisibles en actions. Nous proposons d'illustrer cette problématique à partir d'un programme de coopération franco-argentin Innovaciones, Desarrollo, Exploitationes Agropecuarias, Sociedad local (IDEAS), engagé en Argentine en 1995-1996.
This note offers a conceptual framework for dealing with 1) institutional and capacity assessment; and 2) capacity development issues, mainly in the public sector areas. This framework will be particularly useful in the in the preparation of support to sector programmes and budget support exercises.
La présente note commence par indiquer brièvement en quoi une politique de la concurrence est importante pour les économies en développement et en transition. Elle aborde ensuite certains éléments essentiels de l’établissement d’une culture de la concurrence. Idéalement, ce processus devrait tout d’abord consister en une « évaluation des besoins » dans différents domaines, qui permettra probablement de dresser une liste de mesures à hiérarchiser et à prendre.
The publication reviews forty years of development experience and concludes that donors and partner countries alike have tended to look at capacity development as mainly a technical process, or as a transfer of knowledge or institutions from North to South.
L’objectif de ce travail est de proposer un plan de formation des différents catégories d'acteurs (à identifier) dans le but d'apporter une contribution significative au renforcement de capacité dans chaque pays et dans la sous-région. Des actions précises visant à permettre aux acteurs de lever les éventuels blocages institutionnels devront accompagner ce processus de renforcement des capacités, notamment en ce qui concerne la négociation, le lobbying, la mise en réseau etc.
Les résultats attendus de ce travail sont :
This Economic and Sector Work paper, “Enhancing Agricultural Innovation: How to Go Beyond the Strengthening of Research Systems,” was initiated as a result of the international workshop, “Development of Research Systems to Support the Changing Agricultural Sector,” organized by the Agriculture and Rural Development Department of the World Bank in June 2004 in Washington, DC.
Innovation systems can be defined in a variety of ways: they can be national, regional, sectoral, or technological. They all involve the creation, diffusion, and use of knowledge. Systems consist of components, relationships among these, and their characteristics or attributes. The focus of this paper is on the analytical and methodological issues arising from various system concepts. There are three issues that stand out as problematic. First, what is the appropriate level of analysis for the purpose at hand?
Following the remarkable success of performance testing in the commercial sector, the Agricultural Research Council's Animal Improvement Institute (ARC–AII) initiated a beef cattle performance testing scheme for smallholder farmers in 1996. The scheme, which became known as Kaonafatsho ya Dikgomo (Sotho for animal improvement), has been running well in the Northern and North West Provinces and is set to spread gradually to the rest of the country.
The aim of this paper is to show the importance of monitoring genetic improvement programmes using the examples of an improvement programme for the Sahiwal breed in Kenya and a progeny testing scheme for Friesian cattle in Kenya. The paper is based on reports by Rege et al. (1992) and Rege and Wakhungu (1992) for the Sahiwal project and Rege (1991a and 1991b) for the progeny testing scheme for Friesian cattle.
This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. It is complemented by a further paper (Part I) by Boru Douthwaite and colleagues in the same issue of this journal which presents a case study of work conducted by the International Centre for Tropical Agriculture (CIAT). The prototype methods used in both Parts I and II are based on social network analysis (SNA) methodology.