This trainers’ manual on capacity needs assessment was produced as part the Capacity Development for Agricultural Innovation Systems (CDAIS) project. This involves a global partnership (Agrinatura, the Food and Agriculture Organization of the United Nations [FAO] and national partners from eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods.
This book collects 24 stories of change from the EU-funded CDAIS project. Launched in 2015, the overall objective of CDAIS is to make agricultural innovation systems more efficient and sustainable in meeting the demands of farmers, agri-business and consumers. The stories are about the eight pilot countries - in Africa, Asia and Latin America - in which CDAIS operates. Countries and title of the 24 stories are provided below, with date of last update for each story.
Angola:
01) From farm to agri-business (February 2018)
This document intends to provide an analysis of the outcomes of the application of the TAP Common Framework in the eight countries of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. The TAP Common Framework (TAP CF) was developed at the global level as an initial activity of the CDAIS project in order to guide capacity development (CD) and strengthening of Agricultural Innovation Systems (AIS). The project then tested this framework in eight pilot countries (Guatemala, Honduras, Burkina Faso, Angola, Rwanda, Ethiopia, Lao PDR, Bangladesh).
The experiences shared in this book of Conversations of Change capture the outcomes of three years’ work conducted by the eight CDAIS country teams from Angola, Bangladesh, Burkina Faso, Ethiopia, Guatemala, Honduras, Laos and Rwanda. Collected between January and March 2019, they provide insights and perspectives of different actors engaged in the different capacity strengthening processes, within individuals and innovation niche partnerships, and at organisational and national level.
Agricultural water management is a vital practice in ensuring reduction, and environmental protection. After decades of successfully expanding irrigation and improving productivity, farmers and managers face an emerging crisis in the form of poorly performing irrigation schemes, slow modernization, declining investment, constrained water availability, and environmental degradation. More and better investments in agricultural water are needed.
The World Bank Group has a unique opportunity to match the increases in financing for agriculture with a sharper focus on improving agricultural growth and productivity in agriculture-based economies, notably in Sub-Saharan Africa.
The purpose of this sourcebook is to pull together into a single document a collection of common sense tips and recommendations based on actual practices and experience around the world.
The purpose of this Guidance Note is to help countries to assess the quality of public spending on science, technology, and innovation (STI). It adopts a results-oriented framework, combining the consolidation of STI expenditures with the analysis of their main outputs, intermediate outcomes, and developmental impact. The framework proposes the analysis of three main sources of deficiencies: (i) program design/implementation; (ii) institutional conditions; and the (iii) composition and level of public expenditure.
Le recueil crée un cadre qui permet de standardiser les
méthodes de sélection des indicateurs et propose une liste d’indicateurs de base
pour assurer le suivi et l’évaluation des activités du secteur de l’agriculture et
du développement rural (ADR). Sa finalité est d’améliorer la qualité du suivi et
de l’évaluation des programmes d’agriculture et de développement rural aux
niveaux national et mondial.
Le S&E est intrinsèquement difficile à réaliser et exige un niveau de capacité
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.