The rapid transformation of agri-food value chains in Africa and other developing countries has important implications for economic growth and poverty reduction. Policy makers increasingly recognize this but there is a need for a better understanding of what value chain transformation entails and what the main policy options are. This paper provides an overview and analysis of different value chain models that have emerged in the past decades and reviews the literature on the main development implications.
Providing smallholder farmers with support through conventional government extension approaches is challenging as the number of extension agents is decreasing. At the same time, new information and communication technologies (ICTs), such as short message services (SMS) sent via mobile phones, show considerable promise to complement existing extension services. In the UP-scaling Technology in Agriculture through Knowledge and Extension (UPTAKE) Project, ICTs were used to create awareness and increase uptake and adoption of agricultural innovations by maize farmers in Tanzania.
Smallholder dairy farmers have the challenges of accessing timely and reliable agricultural information, and this limits them from realizing maximum farm output. The use of information and communication technologies (ICT) as a farming extension tool by smallholder farmers has the potential to reverse the scenario and improve farmers’ outputs and incomes leading to increased welfare.
La maladie du covid-19 est devenue une pandémie qui a engendré une crise économique mondiale sans précédent. Cette crise a remis en cause la stabilité des équilibres assurant la sécurité alimentaire mondiale. Les modes de production et de consommation se trouvent aujourd’hui questionnés. Cette pandémie met en exergue les faiblesses et les inégalités existantes dans les systèmes de la santé ainsi que dans les systèmes agricoles et alimentaires.
In this 90-minute webinar, Illuminating Hidden Harvests experts and authors share the rationale and methods behind the initiative and some of the progress and results so far. It includes a moderated roundtable discussion on how to leverage the methods, information and results from the IHH study towards improved policy decision making and in-country capacity for inter-disciplinary data collection and analysis.
This study analyse how agricultural extension can be made more effective in terms of increasing farmers’ adoption of pro-nutrition technologies, such as biofortified crops. In a randomised controlled trial with farmers in Kenya, the authors implemented several extension treatments and evaluated their effects on the adoption of beans biofortified with iron and zinc. Difference-in-difference estimates show that intensive agricultural training can increase technology adoption considerably.
This paper assesses how institutional interactions can strengthen effectiveness, by focusing on three multi-stakeholder partnerships for renewable energy. Based on an expert survey and semi-structured interviews, the study provides both theoretical and empirical contributions to understanding institutional interactions in relation to effectiveness. Moreover, it provides insights on how to strengthen the effectiveness of multi-stakeholder partnerships for renewable energy
Se describe un estudio de caso, en la Isla de la Juventud, cuyo objetivo fue desarrollar un esquema de arreglo productivo local como forma de gestión eficiente para la mejora del desempeño de los agentes que se articulan. Se tomó como base una metodología con adaptaciones, se describe entre sus componentes; las barreras, esquema de Arreglo Productivo Local, la identificación de innovaciones y el desempeño de
This study uses 344 women and men survey respondents involved in conservation agriculture (CA) and small-scale irrigation schemes (SSIS) as data sources for examining the effect of gendered constraints for adopting climate-smart agriculture amongst women in three areas in Ethiopia. Qualitative and quantitative data collections were applied using survey, in-depth interviews and focus group discussions. Quantitative data were analyzed using descriptive statistics, Pearson's chi-square test and binary logistic regression using statistical software for the social sciences (SPSS) version 24.
Este manual fue producido como un recurso para los Facilitadores Nacionales de Innovación (NIF) en todos los países del Proyecto de Desarrollo de Capacidades para Sistemas de Innovación Agrícola (CDAIS). El objetivo de este manual es guiar el nivel de organización de las actividades y capacitar a los facilitadores nacionales de innovación. Les ayudará a aumentar su comprensión de las diferentes etapas del proceso de coaching.