There has been an increasing interest in science, technology and innovation policy studies in the topic of policy mixes. While earlier studies conceptualised policy mixes mainly in terms of combinations of instruments to support innovation, more recent literature extends the focus to how policy mixes can foster sustainability transitions.
The report synthesises the research conducted under the PRO AKIS project for the topic "Designing, implementing and maintaining agricultural/rural networks to enhance farmers’ ability to innovate in cooperation with other rural actors".
The present case study investigated a policy-induced agricultural innovation network in Brandenburg.
This report presents the main results of the EU-funded IN-SIGHT project ‘Strengthening Innovation Processes for Growth and Development’. The authors sketched out a conceptual framework and knowledge base for a more effective European policy on innovation in agriculture and rural areas. Both conceptual framework and knowledge base are consistent with the new European agenda for agricultural and rural policy and sensitive to the diversity of the European agricultural and rural systems.
This report is part of the AFRHINET project under the ACP-EU Cooperation Programme in Science and Technology (S&T II). The overall aims of the project are to enhance options for sustainable integration of rainwater harvesting for irrigation through understanding adoption constraints and developing networks for capacity building and technology transfer. The African partners are Addis Ababa University and WaterAid-Ethiopia in Ethiopia, University of Nairobi and ICRAF-Searnet in Kenya, Eduardo Mondlane University in Mozambique, and University of Zimbabwe and ICRISAT-Zimbabwe in Zimbabwe.
This article combines innovation intermediary and technological innovation systems literature to develop fundamentals of an approach for analysing how organisations acting as intermediaries support firms in eco-innovation and potentially contribute to technological innovation system functions. The operationalisation of the analytical approach is illustrated using case studies on a total of eight support organisations acting as intermediaries in the region of Scania, Sweden and North Rhine Westphalia, Germany.
The potential beneficial and harmful social impacts generated by the introduction of novel technologies, in general, and those concerning nutrient recovery and the improvement of nutrient efficiency in agriculture, in particular, have received little attention, as shown in the literature. This study investigated the current social impacts of agricultural practices in Belgium, Germany and Spain, and the potential social impacts of novel technologies introduced in agriculture to reduce nutrient losses.
This paper assesses how institutional interactions can strengthen effectiveness, by focusing on three multi-stakeholder partnerships for renewable energy. Based on an expert survey and semi-structured interviews, the study provides both theoretical and empirical contributions to understanding institutional interactions in relation to effectiveness. Moreover, it provides insights on how to strengthen the effectiveness of multi-stakeholder partnerships for renewable energy
Sustainability is GIZ’s guiding principle and forms the basis for our contributions to shaping a society that is fit for the future. We compile and analyse all the most important climate and environmental data every year to gain a better understanding of our environmental sustainability and continuously improve our performance. Externally validated information about our activities in Germany is provided by the Eco-Management and Audit Scheme (EMAS).
Globally, the role of extension agents in scaling up the utilization of Climate Smart Agricultural Initiatives (CSAI) by farmers remains very crucial. This study examined the determinants of the involvement of extension agents in the dissemination of CSAI to farmers. A two-staged random sampling technique was used to elicit information from 277 extension agents in South West Nigeria using a structured questionnaire. Data were analysed using frequency counts, percentage and linear regression analysis