How can the transition and transformation towards more sustainable food and agriculture (SFA) materialize at country-level? Who will own, drive and be committed to this process? How can the process be sustainable and reach scale? The practical, "how-to" contribution titled "System-Wide Capacity Development for SFA" attempts to answer these questions.
he article describes the institutionalization of farmer participatory research and plant breeding that has occurred in Honduras over the past 22 years and demonstrates how this approach can offer a positive response to climate change and sustainable agricultural development. In Honduras, participatory plant breeding (PPB) involves the collaboration of farmer researchers organized in local agricultural research committees (CIALs), plant breeders, and non-governmental organizations (NGOs).
Currently, agricultural extension system in Iran is experiencing a radical change to make extension system more effective in helping farmers to be more productive, profitable and sustainable.
Agricultural innovation is an essential component in achieving the SDG and accelerating the transition to more sustainable and resilient farming systems across the world. Innovations generally emerge from collective intelligence and action, which requires effective agricultural innovation systems (AIS). An AIS perspective has been widely adopted, but the analysis of AIS, especially at country level, remains a challenge. The need for and potential of a diagnostic tool for AIS analysis is currently receiving attention in the global agricultural policy debate.
Innovation intermediaries are individuals and organisations that enhance connectivity amongst constituencies of national, sectoral, and regional systems of innovation, thereby facilitating knowledge spillover. This paper articulates the whole picture of Indonesia's agricultural innovation system, with a special focus on how different innovation intermediaries play different roles in technology transfer and knowledge dissemination.
The usual linear top-down approach of the innovation process has been transformed into an 'ecological vision' in which regions make up the appropriate scale for the elaboration of agricultural innovation systems (AIS). Interfaces such as institutional arrangements have been created in industrial countries. However, there is still a lack of interaction among parties involved in innovation for the agricultural sector, especially in the outermost regions and in developing countries.
Agricultural Innovation Systems (AIS) approach, arise as tool for better understanding dynamics and complexity of agricultural innovation. The objective of this article is present a framework for AIS capability development, taking as a scientific reference, emerging economy countries experiences. A multi-dimensional methodology of literature review and content analysis is implemented, supported in bibliometric and data mining techniques.
This paper examines the AIS sector in Egypt. Study the basic components of AIS in Egypt and the Requirements of fostering the AIS of Egypt including the promotiong of Public Private Partnerships, an Economic Sustainable Reform Agenda, Propagation and Diffusion of Knowledge, Pluraristic Investments, ICT infrastructure and Investments for an Enabling Environment
This paper was presented in th 20th European Seminar for Extension Education
Innovations are considered as a key driver for economic growth and increased competitiveness. Investments in agricultural research and development could generate not only economic and social effects but also environmental benefits. The study aims to analyse of agricultural innovation system in Bulgaria and the linkages with agricultural R&D to formulate conclusions and recommendation for future development. The paper presents some of the theoretical concepts of innovation systems and the role of R&D in the process.
Synergy among the various components of national agricultural innovation systems (AISs) promotes agricultural development. This paper investigated the innovation synergy among the various innovation elements of national AISs. First, the authors developed a synergy analysis model consisting of three innovation variables (innovation allocation, innovation output, and innovation potentiality) and one control variable (government policy supports).