This study introduces a framework for managing information flow in innovation systems. An organisation's capacity to receive information, to share it with others and to learn from it is assumed to be the key factor that shapes the flow patterns and, hence, the performance of the innovation system concerned. The framework is applied to characterise the information structure underlying the agricultural innovation system of Azerbaijan and to develop an information strategy for the system to accelerate the information flow.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
La sécheresse qui sévit dans le Sahel depuis les années 1970 a fortement réduit les productions dans les principaux secteurs d’activités que sont la pêche, l’élevage et l’agriculture. Dans le Delta Intérieur du Niger au Mali (DIN), la pêche dont le développement est intimement lié aux fluctuations inter-saisonnières et interannuelles de la crue du fleuve Niger, est en crise. Les prises ont diminué de moitié, beaucoup de pêcheurs sont partis, certains ont adopté des pratiques non durables et les règles sociales subissent d’importantes modifications.
La conférence sur « Agriculture écologique : atténuer le changement climatique, assurer la sécurité alimentaire et l’autonomie pour les sources de revenus ruraux en Afrique » s’est tenue à Addis – Abéba (Ethiopie) du 26 au 28 novembre 2008.
Dans le cadre d’un programme financé par l’Union Européenne, les ONG GLOPOLIS, SOS FAIM et VECO et leurs partenaires paysans concernés ont mené plusieurs études sur les filières de production de riz dans 5 pays d’Afrique de l’ouest : le Bénin, le Burkina Faso, le Mali, le Niger et le Sénégal.
This paper identifies market failures that limit agricultural R&D for Africa and other resource-poor environments, and proposes a way to complement existing institutions with cash prizes for the dissemination of successful new technologies adopted by low-income farmers. The proposed prize institution would use agronomic experiments and farm surveys to document the value of innovations after their initial diffusion, and offer payments in proportion to estimated social benefits in target regions.
The agricultural innovation system can be strengthened by increasing the learning capacity of research and field organisations. Participatory methods were developed to study three dimensions of the capacity of such organisations in Nicaragua to access and analyse information, highly correlated to learning capacity – the individual routines of their professionals, the formal procedures of the organisation and the organisation's use of collaborative projects to strengthen core operations.
This paper discusses the challenges and determinants of agro-operations and innovation initiatives in developing countries. With particular reference to the Caribbean region, available country statistics and data are analysed. A generic model of collaborative innovation for agriculture that stresses collaboration among the stakeholders (government, knowledge institutions, public and private firms and others) is described.
Public–private partnerships that aim at the development of innovations have gained increasing attention from governments, public research and private companies, because they enable partners to draw from complementary resources and profit from synergy and joint learning. This article develops arguments for when partnerships should form and compares them with experiences in real partnership cases in Latin America.
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.