En dépit de son vaste potentiel agricole, l’Afrique est de plus en plus tributaire des importations alimentaires du reste du monde pour satisfaire ses besoins de consommation. La production alimentaire n’a pas suivi le rythme de la croissance démographique et plus de 80 % des gains de production depuis 1980 proviennent de l’expansion des superficies cultivées plutôt que d’une meilleure productivité des zones déjà cultivées (Rakotoarisoa et al. 2012).
The capacities of twenty-four Livestock and Fish CGIAR Research Programme partners in four countries (Ethiopia, Uganda, Tanzania and Nicaragua), representing two partner types (development and research), have been assessed during the period December 2014 – September 2015. This report aims to summarize these four assessments, analyze the differences and similarities, and present recommendations for the design of capacity development interventions.
The adoption of new technologies can contribute to both efficiency and effectiveness and is a key source of long-term competitive advantage in entrepreneurial ventures. This is particularly relevant for poverty entrepreneurs. However, the literature on technology adoption and use in the poverty context is sparse, and is predominantly focused on developing economies. The current article seeks to address these shortcomings. We identify critical areas of typical ventures launched by the poor that are affected by technology.
This brief introduces a set of business-plan challenges faced by digital agribusiness start-ups in ACP countries and promising ways to overcome them. Challenges covered include access to finance, knowing the customer base, sourcing data, access to technical, business and management skills and support, the policy environment, what farmers need, languages and formats, trust, and data ownership and privacy
This paper presents the results of an exploratory case-study analysis of a corn stover value-chain development process in two regions: Ontario (Canada) and Flanders (Belgium). Applying an integrated analytical framework and comparing the results with literature, we identified a number of barriers for novel value-chain development and state seven concrete actions that value-chain actors can take to overcome these barriers.
This PowerPoint document was presented during the OECD-ASEAN Regional Conference on Agricultural Policies to Promote Food Security and Agro-Forestry Productivity (Seoul, South Korea, 12-13 October 2015). The presentation outline is the the following: 1) About SEARCA; 2) Analytical Framework on AIS; 3) Governance of Innovation Systems; 4) Investing in Innovation; 5) Facilitating Knowledge Flows; 6) Strengthening Cross-Country Supply of Agricultural Innovation; 7) The Survey.
Galvanizing the commitment of agricultural innovation systems (AIS) actors through learning, participation and reflection is a prerequisite for capacity development (CD) initiatives. This phase ensures both a common understanding of the process of CD for AIS as well as to create ownership and high-level support by those that head and lead representative bodies of actors within the system.
The visioning process brings together representatives of actor groups within the agricultural innovation systems (AIS) to build on their common understanding of AIS and the need for a coordinated approach. The process involves a wide spectrum of interested parties including ministries, legislative bodies and representatives of the private sector plus development partners and civil society.
Capacity needs assessment is at the core of the cycle of the TAP Common Framework and it is fundamental to strengthening the agricultural innovation systems (AIS). The Assessment aims to ascertain the level of technical and functional capacity, and in particular the capacity to adapt and respond in the various dimensions. The capacity needs assessment will provide an analysis across the sector to inform the setting of priorities and development of strategic capacity development (CD) interventions.
Capacity needs assessment is at the core of the cycle of the TAP Common Framework and it is fundamental to strengthening the agricultural innovation systems (AIS). The Assessment aims to ascertain the level of technical and functional capacity, and in particular the capacity to adapt and respond in the various dimensions. The capacity needs assessment will provide an analysis across the sector to inform the setting of priorities and development of strategic capacity development (CD) interventions.