While the Agricultural Science and Technology Indicators (ASTI) initiative provides data and analysis of domestic public and private spending on agricultural research and development for a wide range of developing countries, the literature pays little attention, if any, to foreign assistance to agricultural, fishing and forestry research and agricultural extension. The objective of the present study is to fill this gap.
The chapter is a part of the book Innovation platforms for agricultural development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari. It introduces the background for the setting up of innovation platforms (IPs), initiation and function of the three IPs in Ethiopian highlands, innovation fund to support fodder development, the role of different actors in scaling up, outcomes and impact of the intervention, and lessons learned.
The relationship between motivation and participation in five agricultural research and development innovation platforms (IPs) in Africa’s Great Lakes Region is examined. We analyze data from surveys and in-depth interviews, and focus group discussions. Although farmers prioritized new knowledge and skills, these were not sufficient to consistently foster active participation. Anticipated economic (markets, income, and credit) and material (agricultural inputs) livelihood benefits did encourage active farmer participation.
Agricultural development interventions tend to favour men. Women do most of the work and receive fewer benefits. A starting point is to assess gender capacities to give momentum to the implementation of strategic interventions responding to the needs of both men and women. The gender capacity assessment tool is participatory; the process can be seen as a gender sensitization activity for partners; it helps to generate useful data for M&E of gender capacity development interventions; It provides the opportunity to design a strategic gender capacity development intervention.
Results from the gender capacity assessment shows, in general, that development and research organizations lack the knowledge and skills to integrate gender into their agricultural programs. Addressing gender-inequity in agriculture will require increased investment in skills and knowledge for value chain actors and enablers.
This study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced significant results.
This paper presents the common framework on CD for AIS developed by TAP and points to the relevance of meta-learning and the importance of “functional capacities”, if higher education institutions and their graduates are to become active players in the agricultural innovation system. The Framework was developed through an inclusive, participatory and multi-stakeholders approach with contributions by TAP Partners, including FARA and the Global Conference on Higher Education and Research in Agriculture.
This study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced some interesting insights. For instance public research spending has a positive significant effect for emerging economies, while no statistically significant effect was found for foreign aid for research.
Agricultural innovation is an essential component in achieving the SDG and accelerating the transition to more sustainable and resilient farming systems across the world. Innovations generally emerge from collective intelligence and action, which requires effective agricultural innovation systems (AIS). An AIS perspective has been widely adopted, but the analysis of AIS, especially at country level, remains a challenge. The need for and potential of a diagnostic tool for AIS analysis is currently receiving attention in the global agricultural policy debate.
Extension and advisory services (EAS) play a key role in facilitating innovation for sustainable agricultural development. To strengthen this role, appropriate investment and conducive policies are needed in EAS, guided by evidence. It is therefore essential to examine EAS characteristics and performance in the context of modern, pluralistic and increasingly digital EAS systems. In response to this need, the Food and Agriculture Organization of the United Nations (FAO) has developed guidelines and instruments for the systematic assessment of national EAS systems.