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.
Public-private partnerships are a new way of carrying out research and development (R&D) in Latin America's agricultural sector. These partnerships spur innovation for agricultural development and have various advantages over other institutional arrangements fostering R&D. This report summarizes the experiences of a research project that analyzed 125 public-private research partnerships (PPPs) in 12 Latin American countries. The analysis indicates that several types of partnerships have emerged in response to the various needs of the different partners.
Traditional approaches to innovation systems policymaking and governance often focus exclusively on the central provision of services, regulations, fiscal measures, and subsidies.
Feeding an additional three billion people over the next four decades, along with providing food security for another one billion people that are currently hungry or malnourished, is a huge challenge. Meeting those goals in a context of land and water scarcity, climate change, and declining crop yields will require another giant leap in agricultural innovation. The aim of this paper is to stimulate a dialogue on what new approaches might be needed to meet these needs and how innovative funding mechanisms could play a role.
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 (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. It is complemented by a further paper (Part I) by Boru Douthwaite and colleagues in the same issue of this journal which presents a case study of work conducted by the International Centre for Tropical Agriculture (CIAT). The prototype methods used in both Parts I and II are based on social network analysis (SNA) methodology.
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.