Recently, Agricultural Knowledge and Innovation Systems (AKISs) have gained considerable attention in scientific and political forums in the European Union (EU). AKIS is considered a key concept in identifying, analysing and assessing the various actors in the agricultural sector as well as their communication and interaction for innovation processes. Using qualitative expert interviews and organizational mapping, the features of national AKISs were investigated in selected EU member states (Belgium, France, Ireland, Germany, Portugal and the UK).
The report specifically analyses the NIS in Peru and Colombia in the coffee and dairy sectors due to their economic importance for both countries and the large percentage of small producers in these sectors. In order to analyse the NIS, we have utilised an innovations systems approach to form the analytical framework. This framework focuses on four main areas – understanding the actors in the NIS, their roles and attitudes, the patterns of interaction of these actors, and the enabling environment with a focus on small producer inclusion.
Emilio Ruz, executive secretary of the Cooperative Programme for Agri-food and Agroindustrial Technological Development of the Southern Cone (PROCISUR), presented the PROCISUR’s frame-work of innovation management at the 3rd GFRAS Annual Meeting, "The Role of Rural Advisory Services in Agricultural Innovation Systems", 26-28 September 2012, Philippines. His presentation has been prepared with Julio C. Catullo,
Extension Group Coordinator of PROCISUR.
This brief explores the definition of Agricultural Knowledge and Information System (AKIS) and the inventory of AKIS in Europe.
This paper investigates Innovation Systems Concepts and Principles starting with an historical perspective. Then it analyzes their application to Integrated Agricultural Research for Development (IAR4D) and makes a comparison between the traditional Research and Development Systems Approaches and the Innovation Systems Approach.
This paper examines the level of heterogeneity of member countries of the Organisation for Economic Co-operation and Development (OECD), regarding their potential and performance as Agricultural Sectoral Innovation Systems (ASIS). The main objective is the classification of the ASIS in an OECD context; based on a series of indicators that correspond to their productivity, competitiveness, social, economic and institutional conditions, as well as their capacities and innovation results.
The citizens of Lesotho rely on a complex web of livelihood strategies made primarily of family kinships and strong community networks. Recently, community breakdowns have occurred because of extensive land degradation, soil erosion, widespread poverty, and HIV/AIDs. This thesis focuses on two aspects which are likely to help decrease the problems earlier stated.
Innovation learning platforms have their roots in the agricultural innovation systems (AIS) approach. AIS emphasizes a systems view of agricultural innovations and conceptualizes an innovation system as all individuals and organizations that keep on interacting in producing and using knowledge and the institutional context of knowledge sharing and learning. Research creates knowledge and technology; but innovation process goes further to include putting that knowledge into use.
This working paper has been prepared as background for the inclusive agribusiness work stream of the Global Donor Platform for Rural Development’s (GDPRD). The paper outlines the concept of inclusive business and its application to the agri-food sector, maps the current state of play and explores implications for donors and the GDPRD.
Capacity development interventions in support of agricultural innovation are more effective when based on systematic and participatory assessments of existing skills and capacity needs. Recognizing that, an instrument has been developed in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. It consists of a capacity scoring tool that allows assessing innovation capacities, identifying strengths and weaknesses and monitoring capacity changes over time. This paper describes the scoring tool and provides guidelines on how to apply it successfully.