The first phase in the development of the Common Framework on Capacity Development for Agricultural Innovation systems (CD for AIS) consisted of the review of the existing literature, building up a repository of relevant documentation on agricultural innovation in general and AIS and CD for AIS. This report summarizes this first phase. In particular, Section 1 covers this brief introduction. Sections two and three focus on the review of relevant literature, presenting the methodology used and the structure of the repository itself.

Experiential learning is prevalent in secondary and university agricultural education programs. An examination of the agricultural education literature showed many inquiries into experiential learning practice but little insight into experiential learning theory. This philosophical manuscript sought to synthesize and summarize what is known about experiential learning theory. The literature characterizes experiential learning as a process or by the context in which it occurs.

The paper uses a stochastic frontier analysis of production functions to estimate the level of technical efficiency in agriculture for a panel of 29 developing countries in Africa and Asia between 1994 and 2000. In addition, the paper examines how different components of an agricultural innovation system interact to determine the estimated technical inefficiencies.The paper has been presented at the Southern Agricultural Economics Association Annual Meeting, Birmingham, AL, February 4-7, 2012. 

Agriculture is central to Ethiopian economy but its sustainable development faces enormous challenges. Low innovation capacity, low productivity, dwindling natural resources and climate change, small-scale subsistence farming, and low levels of market integration and value addition have all made agricultural development more complex. In spite of the decades of research and development efforts, the rate of growth for both crop and livestock productivity has remained low.

Innovation is high on the agenda, in view of the deep economic crisis and the challenges of feeding 9 billion people in 2050 in a more sustainable way. For an effective and efficient response the Agricultural Knowledge and Innovation Systems (Akis) needs to innovate itself and adopt new ways of working.

This paper develops a quantitative, graph-theoretic method for analysing systems of institutions. With an application to the agricultural innovation system of Azerbaijan, the method is illustrated in detail. An assessment of existing institutional linkages in the system suggests that efforts should be placed on the development of intermediary institutions to facilitate quick and effective flow of knowledge between the public and the private components of the system.

This paper, presented at "Food 360°: International Conference-cum-Exhibition on Agribusiness and Food Processing, November 05-06, 2012, Hotel Taj Krishna, Hyderabad",   focuses on Indian agriculture, which remains the most important sector for India. However, despite its importance, various indicators from the sector show that all is not well.

This PowerPoint document was presented during the OECD-ASEAN Regional Conference on Agricultural Policies to Promote Food Security and Agro-Forestry Productivity (Seoul, South Korea, 12-13 October 2015). The presentation outline is the the following: 1) About SEARCA; 2)  Analytical Framework on AIS; 3) Governance of Innovation Systems; 4) Investing in Innovation;  5) Facilitating Knowledge Flows; 6) Strengthening Cross-Country Supply of Agricultural Innovation; 7) The Survey.

This presentation argues the need of green growth in agriculture, analyzes features of the innovation systems and ends with some policies practices. The presentation has been prepared for "Innovation and Modernising the Rural Economy", OECD’s 8th Rural Development Policy Conference, 3-5 October 2012 (Krasnoyarsk, Russian Federation).

This paper, using Thailand as a case study, aims at understanding the national innovation system (NIS) in developing countries which are less successful in technological catching-up. In contrast to developed countries, the development level of Thailand’s NIS does not link to its economic structural development level. As Thailand moves from agricultural to an increasingly industrial economy, its NIS remains weak and fragmented. The mismatch between the two affected Thailand’s competitiveness and partially contributed to the recent economic crisis.