This study identifies, characterizes, evaluates, and validates promising agricultural innovations on wheat and faba bean crops along their value chains. It particularly addresses the following four research questions: ▪What constrains are likely to adversely influence efficiency, productivity, marketability, and market performance of wheat and faba bean in Ethiopia? What is the level and sources of efficiency and productivity of smallholder wheat and faba bean producers? Which innovations are promising to enhance productivity and profitability of wheat and faba bean along the value chains?
The overall objective of this research was to undertake a rapid milk value chain analysis toward identifying innovation opportunitiesto boost the milk production in Rwanda. The identified opportunities include boosting milk production through improved cattle breeds and animal nutrition, introduction of small and medium scale processors, development of business hub models around MCCs, consumer sensitization and school programs to boost milk demand
This report make an analysis of Sorghum value chain in Uganda. Based on that, innovation opportunities in Uganda that can influence expansion of sorghum Value Chain and enhance socio-economic gains of all the actors are identified. Some of the identified opportunities among others include increasing farm level production through enacting supportive policy and providing support to organizations in seed production and distribution, introduction of small scale sorghum processing, and increasing their capacity as well as that of the existing processing entities
This report aims to analyse the value chain of Organic Pinneaples in Uganda and to identify innovation opportunities in order to increase the market share of the product
The present study was commissioned to carry out an update of the “Integrated Agricultural Research for Development (IAR4D)” with a view to evaluating the quantitative and qualitative impact of the several outcomes on stakeholders in the The sub-Saharan Africa Challenge Program (SSA CP). The present study is also to validate the hypotheses that the IAR4D (i) works (ii) delivers more benefits than the conventional R&D method and (iii) can be scaled out and up beyond the current area of operation.
This study identifies systemic problems in the New Zealand Agricultural Innovation System (AIS) that affect the ability of participants in the agricultural sectors to co-develop technologies. We integrate structural and functional streams of innovation system enquiry, gathering data through 30 semi-structured interviews with individuals in Government, industry and research. Interviews explored perceptions of the influence of actors, interactions, institutions, infrastructure, and market structure on the effectiveness of AIS functions.
In this article it is analysed the results of applying a co-innovation approach to five research projects in the New Zealand primary sector. The projects varied in depth and breadth of stakeholder engagement, availability of ready-made solutions, and prevalence of interests and conflicts. The projects show how and why co-innovation approaches in some cases contributed to a shared understanding of complex problems. Our results confirm the context-specificity of co-innovation practices
This paper makes a contribution to understanding the impact of relational trust, as embodied within bonding, bridging and linking social capital, on rural innovation. Using cases of multi-stakeholder groups who work together on shared problems it explores how social capital and different forms of trust (companion, competence and commitment) influence rural innovation processes. Looking at both the ‘bright’ and ‘dark’ side of social capital, our focus is on how social capital and trust constrain and enable the process of innovation.
This paper makes a contribution to understanding the impact of relational trust, as embodied within bonding, bridging and linking social capital, on rural innovation. Using cases of multi-stakeholder groups who work together on shared problems it explores how social capital and different forms of trust (companion, competence and commitment) influence rural innovation processes. Looking at both the ‘bright’ and ‘dark’ side of social capital, our focus is on how social capital and trust constrain and enable the process of innovation.
On-farm agricultural innovation through incorporation of new technologies and practices requires access to resources such as knowledge, financial resources, training, and even emotional support, all of which require the support of different actors such as peers, advisors, and researchers. The literature has explored the support networks that farmers use and the overall importance ranking of different support actors, but it has not looked in detail at how these networks may differ for different farmers.