Four types of scaling are discussed in this brief. The first two focus on ways individual technologies or interventions are taken to scale through platforms. The third is when a platform adjusts to address different scales. The fourth is when the innovation platform approach is replicated. This brief is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms.
This brief deals with the importance of power and representation within in innovation platforms. The brief is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms. A contribution to the CGIAR Humidtropics research program, the development of the briefs was led by the International Livestock Research Institute; they draw on experiences of the CGIAR Challenge Program on Water and Food, several CGIAR centres and partner organizations.
This paper explores the application of the innovation systems framework to the design and construction of national agricultural innovation indicators. Optimally, these indicators could be used to gauge and benchmark national performance in developing more responsive, dynamic, and innovative agricultural sectors in developing countries.
Given the diversity and context-specificity of innovation systems approaches, in March 2007 the World Bank organized a workshop in which about 80 experts (representing donor agencies, development and related agencies, academia, and the World Bank) took stock of recent experiences with innovation systems in agriculture and reconsidered strategies for their future development. This paper summarizes the workshop findings and uses them to develop and discuss key issues in applying the innovation systems concept. The workshop’s recommendations, including next steps for the wider
This book examines how agricultural innovation arises in four African countries – Ghana, Kenya, Tanzania, and Uganda – through the lens of agribusiness, public policies, and specific value chains for food staples, high value products, and livestock. Determinants of innovation are not viewed individually but within the context of a complex agricultural innovation system involving many actors and interactions.
A new generation of information and communication technologies (ICTs) is finding a small foothold among poor, small-scale farmers in developing countries. Even so, many barriers still prevent poor rural people from accessing, using, and benefiting from new ICT tools and platforms, and those barriers are arguably higher for rural women. The relationship between gender and agriculture has been studied intensively over the years, and many agricultural interventions now include gender as a crosscutting issue or mainstream gender throughout their operations.
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.
L' étude de la Banque Mondiale a identifié des mesures d’atténuation pouvant apporter des solutions à court et à long termes aux problèmes du secteur agricole du Niger. Il s’agit, notamment de :
l’utilisation de variétés à haut rendement résistantes à la sécheresse,
l’application de techniques de CES/DRS et de gestion des ressources naturelles,
l’extension des surfaces sous irrigation,
la lutte préventive contre les criquets pèlerins,
This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects.
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.