This paper synthesizes Component 2 of the Regoverning Markets Programme. It is based on 38 empirical case studies where small-scale farmers and businesses connected successfully to dynamic markets, doing business with agri-processors and supermarkets. The studies aimed to derive models, strategies and policy principles to guide public and private sector actors in promoting greater participation of small-scale producers in dynamic markets. This publication forms part of the Regoverning Markets project.
This study provides a model that supports systematic stakeholder inclusion in agricultural technology. Building on the Responsible Research and Innovation (RRI) literature and attempting to add precision to the conversation around inclusion in technology design and governance, this study develops a framework for determining which stakeholder groups to engage in RRI processes. We developed the model using a specific industry case study: identifying the relevant stakeholders in the Canadian digital agriculture ecosystem.
This study examines the influence of farmers’ social capital on their decisions to deal with climate change and climate variability in Burkina Faso. The study is based on a household survey conducted among 450 households, randomly selected from three communities in Burkina Faso.
In this book, the authors assessed the role of biotechnology innovation for sustainable development in emerging and developing economies. This book compiles studies that each illustrate the potential, demonstrated value and challenges of biotechnology applications for sustainable agricultural innovation and/or industrial development in a national, regional and international context.
Cette publication offre de nombreux exemples concrets détaillant différentes manières de réengager les jeunes dans le secteur agricole. Elle montre à quel point des programmes éducationnels sur mesure peuvent offrir aux jeunes les compétences et la perspicacité nécessaires pour se lancer en agriculture et adopter des méthodes de production respectueuses de l’environnement. Beaucoup des approches ou des initiatives décrites dans cette publication sont issues des jeunes eux-mêmes.
This article starts by describing the evolution of innovation in agricultural research and cooperation for development, including an historical overview of agricultural research for development from green revolution to the re-discover of traditional knowledge. Then the authors analyze participation in innovation processes and make a comparison of innovation systems and platforms targeting the agri-food sector in developing countries. A particular focus is reserved to the European regional networks and to the experience of the USAID Middle East Water and Livelihoods Initiative.
AARINENA was established to strengthen cooperation among national, regional and international agricultural research institutions and centers to ultimately support the agricultural sector in its member countries. Women farmers significantly contribute to the agricultural development in the WANA region, but often remain invisible in agricultural research and knowledge transfer.
These proceedings relate to a regional workshop which was held in Muscat, Oman, in January 2008.
Disasters are increasing worldwide, with more devastating effects than ever before. While the absolute number of disasters around the world has almost doubled since the 1980s, the average number of natural disasters in Middle East and North Africa (MNA) has almost tripled over the same period of time. In the MNA, the interplay of natural disasters, rapid urbanization, water scarcity, and climate change has emerged as a serious challenge for policy and planning.
The impact of the COVID-19 pandemic will vary for different groups of rural population, with the highest impact expected to be on farmers and other vulnerable groups, especially women and youth. Targeted support is feasible only by activating a network of actors or organizations within agricultural innovation systems (AIS) and promoting customized technologies and practices suitable for location specific contexts.