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.
This paper explores the use of actor-oriented approaches in natural resource-based development. It begins by reviewing the need to bring an analysis of actor linkages, coalitions and information flows higher on the agenda in planning, implementation, monitoring and evaluation. Various tools which could assist in doing this are introduced and their use is illustrated in case studies of natural resource-based research and development (R&D) projects in Nepal and Bangladesh.
This chapter outlines the role of a well-functioning agricultural innovation system in ensuring good use of public funds, and higher responsiveness to the needs of ‘innovation consumers’ through improved collaboration between public and private participants, including across national borders. A well-functioning agricultural innovation system is key to improving the economic, environmental and social performance of the food and agriculture sector.
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.
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.
In sub-Saharan Africa, there is increasing interest for the adaptation and use of the innovation systems approach to advance learning and development in the Agricultural Research and Development (ARD) sector. This crave is constrained by unavailability of a proven blue print that describe the paradigm shift from the linear approach and how such could function under different socio-economic, cultural and political climate.