This special issue contains contributions from 42 authors representing 21 organizations and institutes around the world. Overall, the publication presents a number of innovations related to the key elements of climate risk management and resilience building in agriculture. The approaches, tools and methods are illustrated with case studies and examples from different parts of the world. While the innovations presented are not without certain limitations, any such limitations are identified and discussed, and recommendations are made for future research.
Agricultural research and extension systems are central to unlock the potential of agricultural innovation and achieve the Sustainable Development Goals. Public agricultural research, extension and advisory services are essential for increasing productivity and promoting sustainable agricultural growth and alleviating poverty.
Research for development (R4D) projects increasingly engage in multi-stakeholder innovation platforms (IPs) asan innovation methodology, but there is limited knowledge of how the IP methodology spreads from one contextto another. That is, how experimentation with an IP approach in one context leads to it being succesfully re-plicated in other contexts.
The innovation systems (IS) approach—developed by Richard Nelson, Christopher Freeman and Bengt-Ake Lundvall, amongst others—has become perhaps the dominant approach in the academic literature for the study of innovation. It has also exerted considerable influence on policy. This paper examines both the theory underpinning the IS approach, which bears considerable affinities with Austrian economics, and also its policy implications.
Grand societal challenges, such as global warming, can only be adequately dealt with through wide-ranging changes in technology, production and consumption, and ways of life, that is, through innovation. Furthermore, change will involve a variety of sectors or parts of the economy and society, and these change processes must be sufficiently consistent in order to achieve the desired results. This poses huge challenges for policy-making. This paper focus on implications for the governance of innovation policy, i.e., policies influencing a country’s innovation performance.
Since global issues (i.e. disruption technology and sustainability) attracted the attention of agricultural system researchers and company, innovation system plays a significant role in the development of agricultural downstream supply chain, in order to make agriculture business sustain. Hence, researches in innovation system for agricultural downstream supply chain are very important in dealing with these challenges.
In this perspective paper the authors consider the implications of a digital transformation for agricultural knowledge, a subject which hitherto has received limited attention. They raise critical questions about how digital agriculture will intersect with established modes of knowing and decision-making.
This case study demonstrates how change agents can utilize networked learning communities (NLCs) with shared leadership to provide the structural supports for learning and influence the implementation of innovations within a social system. Our focus is the Department of Defense Education Activity (DoDEA), a large school system operating 164 accredited schools domestically and internationally.
Youth intention to pursue a career in agriculture and entrepreneurship is influenced by the knowledge they acquire through formal, informal, and nonformal settings. Changing youth perception of agriculture is essential for agriculture and youth development. The purpose of the study was to examine current youth perceptions of agriculture, solicit Tanzanian leaders' views of agriculture, and youth entrepreneurship.
The aim of this paper is to characterise the innovativeness of individual farms in the Łódź region. Based on a domestic and foreign literature study, the most frequently used variables connected with farms (namely, the type of agricultural activity, economic size and VAT settlement system) were selected. The analysis of selected variables that characterise the innovative activity of the researched entities was carried out using the basic measures of structural analysis and interdependence of phenomena.