In the framework of a wide Foresight process, launched by the Standing Committee on Agricultural Research (SCAR) and aiming to identify possible scenarios for European agriculture in a 20-year perspective, DG RTD/E of the European Commission established a high-level Consultancy Expert Group (CEG) that analysed and synthesised foresight information in order to provide research policy orientations, tacking stock of the report from the first Foresight Expert Group (FEG) published in February 2007.
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.
These Proceedings report on the second International Conference of the Convergence of Sciences (CoS) programme in Elmina (2009). The first International Conference was four years earlier in the same location, where it was discussed how to follow up on the findings of the first CoS Programme phase (entitled CoS1 running from 2001 to 2006). The Conference was intended to introduce the focus on “innovation systems”, and how to enhance these systems for smallholder farmers’ development.
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.
The Agricultural Innovation System (AIS) is a network of organizations, enterprises and individuals that focuses on bringing new products, processes and forms of organization into economic use, together with the institutions and policies that affect their behaviour and performance. In the small North East Indian state of Tripura, System of Rice Intensification (SRI) has grown to develop into an innovation system where various stakeholders have come together to make the state self-sufficient in food grains.
This chapter analyses the functioning of the Brazilian agricultural innovation system. It discusses the role of the different actors and describes governance mechanisms to define priorities and evaluate performance. It analyses trends in agricultural R&D expenditure and sources of funding, the role of intellectual property protection in fostering knowledge markets, and outlines mechanisms used to facilitate knowledge transfers, including collaboration at the national level and the adoption of innovation at the farm or firm level.
The purpose of this paper is to map some elements that can contribute to an IFAD strategy to stimulate and support pro-poor innovations. It is an initial or exploratory document that hopefully will add to an ongoing and necessary debate, and is not intended as a final position paper. The document is organized as follows.
Agricultural education, research, and extension can contribute substantially to reducing rural poverty in the developing world. However, evidence suggests that their contributions are falling short in Sub-Saharan Africa. The entry of new actors, technologies, and market forces, when combined with new economic and demographic pressures, suggests the need for more innovative and less linear approaches to promoting a technological transformation of smallholder agriculture.
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).
There are divergent views on what capacity development might mean in relation to agricultural biotechnology. The core of this debate is whether this should involve the development of human capital and research infrastructure, or whether it should encompass a wider range of activities which also include developing the capacity to use knowledge productively. This paper uses the innovation systems concept to shed light on this discussion, arguing that it is innovation capacity rather than science and technology capacity that has to be developed.