The question of how agricultural research can best be used for developmental purposes is a topic of some debate in developmental circles. The idea that this is simply a question of better transfer of ideas from research to farmers has been largely discredited. Agricultural innovation is a process that takes a multitude of different forms, and, within this process, agricultural research and expertise are mobilised at different points in time for different purposes. This paper uses two key analytical principles in order to find how research is actually put into use.
The Tanga Dairy Platform, created in 2008, is an informal forum of different stakeholders involved in the dairy industry of Tanzania’s Northeastern Tanga region. The platform’s objective is to exchange knowledge and develop joint actions to common problems. Six years on, it is a sustainable example of a commodity association addressing the joint problems of the region’s dairy industry.
This chapter starting presenting the current status of agricultural research systems in SSA at national and regional levels against a backdrop of key policy changes and progressive elaboration of agricultural knowledge frameworks registered in the last decade or so. The section argues for endogenous mechanisms to encourage sustainable funding of agricultural research in the region. Section 2 discusses key trends and some innovative approaches that are helping bridge the supply and demand mismatch in AAS.
The Guyana School of Agriculture (GSA) was established in the year 1963 by former President Dr. Cheddi Jagan. It became a state corporation in 1964 offering the Diploma in Agriculture and the Certificate in Agriculture Programmes, and graduated the first batch of 15 students in 1966. Agricultural diversification has become an important mechanism for economic growth by providing opportunities that facilitate technological advancement and demand driven government policy.
The advancement of agriculture sector in one region cannot be separated from the role of agricultural extension in the region. To cover the deficiency of agricultural extension agents, self-supporting extension agents are recruited from farmers or private parties. This study aims to analyze the role of self-supporting instructors in improving farmer institutions and analyze factors related to the role of self-supporting extension agents in improving farmer institutions.
They were once the central element in state-funded research, but now the research bodies need to redefine their role as partners in the innovation process, responding more efficiently to the needs of society and businesses. In agriculture, the concept of innovation was dominated in the past by linear knowledge transfer in the form of new technologies that were essentially generated by public research (research institutes or universities), transferred to the agricultural extension services, and hence to the farmers for adoption.
This thematic note discusses the role of innovation brokers in bridging communication gaps between various actors of innovation systems. On the basis of recent experience in the Netherlands, it outlines the success of brokers in finding solutions adapted to the needs of farmers and industry, and thus their positive impact on innovation adoption. This section also examines some issues on how brokers function, particularly with regard to balancing interests, funding their activities, and the role of government.
Rising demand for agricultural commodities coupled with population growth, climate change, declining soil fertility, environmental degradation and rural poverty in the developing world call for strategies to sustainably intensify agricultural production. Sustainable intensification refers to increasing production from the same area of land while reducing its negative environmental consequences.
Considering the new opportunities that ICT innovations bring to improve performance of financial and extension services, this study looks at the potential contribution of financial and extension services to the Sustainable Development Goals (SDGs). The approach used extends the standard Data Envelopment Analysis (DEA) model to include longer-term management goals and find a solution that balances the efficient use of innovation investments and the achievement of policy goals, making this approach well suited for the analysis of the SDGs.
Increasing investment and spending in agricultural innovation is not enough to meet Sustainable Development Goal (SDG) targets of ending poverty and hunger because the effectiveness of investments in low- and middle-income (LMI) countries is affected by the low quality of infrastructure and services provided, and by different norms and practices that create a considerable gap between financing known technical solutions and achieving the outcomes called for in the SDGs.