Empirical studies on agricultural technology adoption generally divide a population into adopters and nonadopters, and analyse the reasons for adoption or nonadoption at a point in time. In reality, technology adoption is not a one-off static decision, rather it involves a dynamic process in which information gathering, learning and experience play pivotal roles, particularly in the early stage of adoption. A conceptual framework for an adoption pathway is suggested in which farmers move from learning to adoption, to continuous or discontinuous use over time.
Ce document examine les approches suivies actuellement en ce qui concerne le renforcement des capacités commerciales dans les pays africains. Ce but est de:
Identifier des mécanismes permettant de promouvoir un processus de formulation de la politique commerciale de type participatif et de l’intégrer dans les stratégies nationales de développement et de lutte contre la pauvret.
Etudier le rôle que pourraient jouer les donneurs en facilitant et en soutenant le processus d’élaboration de la politique commerciale.
The International Center for Tropical Agriculture (CIAT) implements participatory monitoring and evaluation (PM&E) systems as a means of strengthening learning, self-reflection and facilitating institutional learning and change (ILAC) processes within Research and Development (R&D) institutions and local communities in Africa.
La rencontre des chercheurs qui s’interrogent sur l’efficacité de leurs interventions pour accompagner les acteurs dans les processus de changement constitue une occasion pour s’interroger sur les méthodes de recherche à développer lors de travaux réalisés avec les acteurs : recherche participative, « recherche-action », recherche intervention... L’auteur propose de présenter la démarche de recherche-action comme nouvelle.
This study describes the evolving context and organisational linkages in the agricultural innovation system of Azerbaijan and suggests ways to promote effective organisational ties for the development, distribution and use of new or improved information and knowledge related to agriculture. Graph-theoretic principles and concepts are employed to assess the existing organisational linkages vital for agricultural innovations.
Early applications of the innovation systems framework to developing-country agriculture suggest opportunities for more intensive and extensive analysis. There is ample scope for empirical studies to make greater use of the theoretical content available in the literature, and to employ more diverse methodologies, both qualitative and quantitative. Further, there is room to improve the relevance of empirical studies to the analysis of public policies that support science, technology, and innovation, as well as to policies that promote poverty reduction and economic growth.
This report sets out the synthesis of work carried out within the framework of the Sahel and West Africa Club (SWAC) Secretariat Initiative on “The family economy and agricultural innovation: towards new partnerships”. The initiative aimed to stimulate analyses, collect field data and case studies that encourage debates between regional actors, with a view to informing the development of regional policies and actions in order to promote and strengthen producer access to agricultural innovation, where most producers are anchored in the family economy.
This policy brief sets out the conceptual and empirical underpinnings of a learning-orientated monitoring and evaluation approach known as Institutional Learning and Change (ILAC) and discusses options for learning-oriented interventions and policy research.
The purpose of this paper is to map some elements that can contribute to an IFAD strategy to stimulate and support pro-poor innovations. It is an initial or exploratory document that hopefully will add to an ongoing and necessary debate, and is not intended as a final position paper. The document is organized as follows.
There are divergent views on what capacity development might mean in relation to agricultural biotechnology. The core of this debate is whether this should involve the development of human capital and research infrastructure, or whether it should encompass a wider range of activities which also include developing the capacity to use knowledge productively. This paper uses the innovation systems concept to shed light on this discussion, arguing that it is innovation capacity rather than science and technology capacity that has to be developed.