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.

Research, extension, and advisory services are some of the most knowledge-intensive elements of agricultural innovation systems. They are also among the heaviest users of information communication technologies (ICTs). This module introduces ICT developments in the wider innovation and knowledge systems as well as explores drivers of ICT use in research and extension.

This document is intended to serve as a resource for assessing capacity needs in a project or programme. A capacity needs assessment (CNA) is a process for identifying a project’s perceptions (through staff, partners and stakeholders) on various capacity areas that impact the work they do. The process helps identify challenges and opportunities for enhancing key skills thereby enhancing the project’s ability to achieve its objectives. The overall goal of a CNA is to determine the gap between required and existing capacities.

This presentation describes the process of the capacity needs assesment carried out by a consortium of organizations in Ethiopia, Nicaragua, Tanzania, Tunisia and Uganda. Starts describing the the methodology used for the assesment, then present the key finds and in the end gives some recommendations

This report brings the information about the capacity needs analysis carried out by CRP in five countries. Capacity development is a core enabling factor in the delivery of the 5 Livestock CRP flagships. One of the strategic capacity development actions for the Livestock CRP is to design evidence based capacity development interventions based on capacity needs analysis.

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.