This publication represents a synthesis of assessments of national agricultural innovation systems in countries of Central Asia, South Caucasus and Turkey. The first chapter gives an introduction of the project “Capacity Development for Analysis and Strengthening of Agricultural Innovation Systems in Central Asia and Turkey”, out of which the current publication reports about one of the project outputs achieved.
This book documents a unique series of 19 case studies where agricultural biotechnologies were used to serve the needs of smallholders in developing countries. They cover different regions, production systems, species and underlying socio-economic conditions in the crop (seven case studies), livestock (seven) and aquaculture/fisheries (five) sectors. Most of the case studies involve a single crop, livestock or fish species and a single biotechnology.
Traditional approaches to innovation systems policymaking and governance often focus exclusively on the central provision of services, regulations, fiscal measures, and subsidies.
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.
The World Bank, in collaboration with the e-Agriculture community and the Food and Agriculture Organization of the United Nations (FAO), hold a series of two week online forums. These e-forums stem from the launch of the World Bank's ICT in Agriculture e-Sourcebook (2011) and the growing demand for knowledge on how to use ICT to improve agricultural productivity and raise smallholder incomes.The Summary presents the discussion during the e-forum held on 4th September 2012.
This paper uses household and key informant survey data from Ethiopia to: (1) understand the organizational structures that influence change in dairy production systems; (2) explore how local-level innovation system networks are functioning in the smallholder dairy production and (3) identify intervention points for strengthening innovation capacity. Results revealed that public sector actors are the major role players in the dairy production system despite their minor role in marketing linkages. We also found out that the private sector actors play peripheral roles in the network.
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.