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
Local stakeholders and agricultural producers in Latin America have limited access to agroclimatic information and, when they do gain access to it, they have difficulty translating it into understandable and actionable knowledge. While climate services are recognized as contributing to bridging the gap between the generation of climate information and its use by stakeholders, their provision and use in Latin America still represents critical challenge.
Actores locales y productores agropecuarios en Latinoamérica tienen acceso limitado a la información agroclimática y, cuando logran acceder a ella, tienen dificultades para traducirla en conocimiento procesable y accionable. Si bien los servicios climáticos son reconocidos por contribuir a cerrar la brecha entre la generación de información climática y su uso por parte de las partes interesadas, su provisión y uso en Latinoamérica aún representa un desafío crítico.
This working paper has been prepared as background for the inclusive agribusiness work stream of the Global Donor Platform for Rural Development’s (GDPRD). The paper outlines the concept of inclusive business and its application to the agri-food sector, maps the current state of play and explores implications for donors and the GDPRD.
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.
This brief provides an overview of the monitoring and evaluation (M&E) system of the CGIAR Research Program on Aquatic Agricultural Systems (AAS) and describes how the M&E system is designed to support the program to achieve its goals. The AAS program aims to improve the lives of 22 million people dependent upon aquatic agricultural systems by 2024 through research in development.
This set of guidance notes is designed to support practitioners and evaluators in conducting retrospective evaluations of a capacity development intervention or portfolio to assess and document results. Users will enhance their understanding of the capacity development process, of what works and what does not work in promoting change and to inform future programs. The standard M&E approach for assessing capacity development results has not been sufficient.
This report reviews the evidence of impact of capacity strengthening on agricultural research for development (AR4D) in developing countries. The study was commissioned by DFID as part of the documentation process of the project Strengthening Capacity for Agricultural Research for Development in Africa (SCARDA).
This report describes the concepts and methods used to evaluate a regional capacity development project in Latin America. The project under study aims to strengthen planning, monitoring, and evaluation in agricultural research organizations in the region. The report outlines the procedures employed in five evaluation studies and summarizes the results of each study. It then presents consolidated findings in response to three evaluation questions: What were the main contributions of the project to agricultural research management?
This paper is the result of a joint effort of OECD/DAC and LenCD to assemble the critical messages about training and learning that are emerging from the current international scrutiny of training and capacity development. It synthesises current wisdom on the topic, and offers a sense of direction on where the debate is going, particularly in terms of approaches to capacity development interventions at country and field levels. The paper is written primarily for the demand side, i.e.