This paper draws lessons from selected country experiences of adaptation and innovation in pursuit of food security goals.
This study examines the role of public–private partnerships in international agricultural research. It is intended to provide policymakers, researchers, and business decisionmakers with an understanding of how such partnerships operate, how they promote the exchange of knowledge and technology, and how they contribute to poverty reduction.
Le renforcement des capacités est maintenant d’une actualité brûlante en Afrique. Avec d’autres bailleurs de fonds, la banque recherche des moyens appropriés de collaborer avec les gouvernements africains pour les rendre mieux à même de mettre en oeuvre des programmes de développement sur tout le continent. Étant donné le caractère rural de la plupart des économies africaines et la concentration de pauvres dans les zones rurales, il est urgent de renforcer les capacités pour promouvoir le développement agricole.
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.
Classical innovation adoption models implicitly assume homogenous information flow across farmers, which is often not realistic. As a result, selection bias in adoption parameters may occur. We focus on tissue culture (TC) banana technology that was introduced in Kenya more than 10 years ago. Up till now, adoption rates have remained relatively low.
The Guidance Note on Operationalization provides a brief recap of the conceptual underpinnings and principles of the TAP Common Framework as well as a more detailed guide to operationalization of the proposed dual pathways approach. It offers also a strategy for monitoring and evaluation as well as a toolbox of select tools that may be useful at the different stages of the CD for AIS cycle.
La «Note d'Orientation sur l'Opérationnalisation» récapitule brièvement les fondements conceptuels et les principes du Cadre commun de travail pour le renforcement des capacités des systèmes d'innovation agricole et fournit également un guide détaillé de l'opérationnalisation de l'approche à Double Entrée du renforcement des capacités (RC) pour les systèmes d'innovation agricole (SIA). Le document offre aussi une stratégie de suivi et d'évaluation ainsi qu'une Boîte à Outils d'outils sélectionnés qui peuvent être utiles aux différentes étapes du RC pour les SIA.
La Guía Operativa provee una breve recapitulación de los fundamentos conceptuales y principios del Marco Común de la TAP así como una guía más detallada para la operacionalización del enfoque de rutas de doble vía del Desarrollo de Capacidades (DC) para los Sistemas de Innovación Agrícola (SIA). También ofrece una estrategia para el monitoreo y evaluación, así como una caja de herramientas que pueden ser útiles en las diferentes etapas del ciclo de DC para los SIA.
The article examines the effect of membership in farmer groups (MFG) on adoption lag of agricultural technologies and farm performance in Burundi, the Democratic Republic of Congo and Rwanda. We use duration and stochastic production frontier models on farm household data. We find that the longer the duration of MFG, the shorter the adoption lag and much more so if combined with extension service delivery. Farmer groups function as an important mechanism for improving farm productivity through reduced technical inefficiency in input use.
Though extension services have long since proved their value to agricultural production and farmer prosperity, their record in sub-Saharan Africa has been mixed. To study the impact of such programs on farmers' learning about agricultural technologies, we implemented a quasi-randomized controlled trial and collected detailed panel data among Malawian farmers. Based on those findings, we develop a two-stage learning framework, in which farmers formulate yield expectations before deciding on how much effort to invest in learning about these processes.