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.

A Training Workshop for Trainers in Results-Based Monitoring & Evaluation (RBM&E) was held at Adama from 02 to 05 July of 2012. This Workshop was jointly organized by the Oromia Bureau of Agriculture (OBoA) and Improving Productivity and Market Success (IPMS) project upon the request from OBoA. This is the 6th training workshop and it is part of the capacity building program that IPMS provided for the four regions where the project was operating and for federal MoA. Twenty two trainees (19 males and 3 females) have been trained with full attendance.

Upon a request from Jimma University, IPMS conducted four days Training of Trainers Workshop on Results-Based Monitoring & Evaluation to the University staff. The training workshop was organized jointly by the University and ILRI-IPMS from January 16-19, 2012 at the College of Agriculture and Veterinary Medicine campus, Jimma. Thirty one participants drawn from different departments (Animal Science, Economics, Accounting, Information Science, Statistics, Epidemiology, Management, Rural development & Agricultural extension etc.) have attended.

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.