This paper addresses four questions: · What lessons can be drawn from the "rise and decline" of NARS in Africa? · What can African research managers learn from some of the successful reforms of NARS in Asia and Latin America over the past 10 to 15 years? · What are the major challenges facing the NARS in the ASARECA region in the coming 10-20 years? · What are the critical reforms and the incentives needed to develop pluralistic, accountable, productive and financially self-sustaining NARS in AFRICA?
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?
This paper develops a quantitative, graph-theoretic method for analysing systems of institutions. With an application to the agricultural innovation system of Azerbaijan, the method is illustrated in detail. An assessment of existing institutional linkages in the system suggests that efforts should be placed on the development of intermediary institutions to facilitate quick and effective flow of knowledge between the public and the private components of the system.
The paper explores the implications of rural livelihood diversity for agricultural innovation policies. It summarises literature on the nature of rural poverty, with particular emphasis on the relative roles of farm and non-farm income. It also reviews the various roles, direct and indirect, that agricultural innovation can play in rural poverty reduction. Finally, it uses an agricultural knowledge and information systems (AKIS) perspective to argue for a differentiated approach to targeting agricultural innovations, based on an analysis of rural assets.
In times of market liberalization and structural adjustment, the agricultural sectors of developing countries face profound changes. To seize new market opportunities, farmers need to innovate. In order to innovate, farmers need new technologies and information on how to access and manage them, as well as better support services for the delivery of inputs and knowledge, and better infrastructure for delivering produce to the market.
There is increasing evidence that public organizations dedicated exclusively to research and development (R&D) in agribusiness need systematic management tools to incorporate the uncertainties and complexities of technological and nontechnological factors of external environments in its long-term strategic plans. The major issues are: What will be the agribusiness science and technology (S&T) needs be in the future? How to prepare in order to meet these needs?
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 private sector dominates biotechnology research in industrialized countries, but there are major market failures in developing countries in accessing the new tools and technologies. The public sector, national and international, will have to play a major role in filling this gap. This paper provides an overview of options that countries of different sizes and capacities can employ to gain access to the research tools and technologies that they need to address issues of relevance to poor producers and consumers.
The increasing complexity of technology development and adoption is rapidly changing the effectiveness of scientific and technological policies. Complex technologies are developed and disseminated by networks of agents. The impact of these networks depends on the assets they command, their learning routines, the socio-economic environment in which they operate and their history.
This paper argues that impact assessment research has not made more of a difference because the measurement of the economic impact has poor diagnostic power. In particular it fails to provide research managers with critical institutional lessons concerning ways of improving research and innovation as a process. Paper's contention is that the linear input-output assumptions of economic assessment need to be complemented by an analytical framework that recognizes systems of reflexive, learning interactions and their location in, and relationship with, their institutional context.