El propósito de este Manual es ejercer de guía para profesionales y personal técnico al tratar cuestiones de género y al integrar acciones de perspectiva de género en el diseño e implementación de programas y proyectos agrarios. No se dirige a especialistas de género para que mejoren sus capacidades sino más bien a expertos técnicos para guiarlos a analizar a conciencia cómo integrar la dimensión de género en sus operaciones.
This paper documents a positive relationship between maize productivity in western Kenya and women’s empowerment in agriculture, measured using indicators derived from the abbreviated version of the Women’s Empowerment in Agriculture Index. Applying a cross-sectional instrumental-variable regression method to a data set of 707 maize farm households from western Kenya, we find that women’s empowerment in agriculture significantly increases maize productivity.
The purpose of this study is to develop a robust, rigorous and replicable methodology that is flexible to data limitations and spatially prioritizes the vulnerability of agriculture and rural livelihoods to climate change. The methodology was applied in Vietnam, Uganda and Nicaragua, three contrasting developing countries that are particularly threatened by climate change. We conceptualize vulnerability to climate change following the widely adopted combination of sensitivity, exposure and adaptive capacity.
Innovations supporting a shift towards more sustainable food systems can be developed within the dominant food system regime or in alternative niches. No study has compared the challenges faced in each context. This paper, based on an analysis of 25 cases of European innovations that support crop diversification, explores the extent to which barriers to crop diversification can be related to the proximity of innovation settings with dominant food systems.
Scaling is a ubiquitous concept in agricultural research in the global south as donors require their research grantees to prove that their results can be scaled to impact upon the livelihoods of a large number of beneficiaries. Recent studies on scaling have brought critical perspectives to the rather technocratic tendencies in the agricultural innovations scaling literature.
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.
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 study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced some interesting insights. For instance public research spending has a positive significant effect for emerging economies, while no statistically significant effect was found for foreign aid for research.
This study aims to explore how the Positive Deviance approach can be adapted to identify and prioritize rural development interventions for diverse farming households that pursue multiple objectives. We describe the adapted approach, consisting of three research steps, and a case study implementation in Tanzania. Based on this experience, the potential of the Positive Deviance approach for household-specific prioritization of multi-objective development opportunities is discussed
The purpose of this study is to explore the factors that drive producers to market their products through Community Support Agriculture (CSA) by using a county-level data set from the US.