This data article contains annotation data characterizing Multi Criteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, https://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products.
Este boletín presenta información recolectada a través de la "Encuesta Nacional de Ciencia, Tecnología e Innovación del Sistema Nacional de Innovación Agropecuaria" y otras fuentes, con el fin de mostrar un panorama de la ciencia, la tecnología y la innovación. Los indicadores discutidos en esta publicación deben apoyar la toma de decisiones a nivel nacional y regional; apoyar la formulación de la política pública; y orientar la investigación, desarollo tecnológico y la innovación (I+D+i) del sector.
Food security is predicted toface considerable challenges in the upcoming period. This couldbe more profound in developing countries due to rapid societal change and ecological pressure in theseregions. Concerted efforts to deal with these challenges areof great importance, including accelerating th euse of improved agricultural input technology (IAIT) such as high yield varieties of seeds and improved fertilizer formulas. This type of innovation is more suitable to being introduced amongst developing countries farmers in order to increase their productivity.
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.
The Northern Mountainous Region (NMR) of Vietnam is characterised by great physical, social and cultural diversity. It covers a large geographical area, is home to many ethnic minority populations, has an under-developed infrastructure with low levels of urbanisa-tion, and agricultural production plays a highly important role. Since the 1950s, Vi-etnam’s agricultural sector has had several ups and downs due to being significantly in-fluenced by shifting national policies.
Under the guidance of the agricultural system theory, operational research theory and decision-making support system theory, the regional agricultural development decision support system (RADDSS) was developed in this study ,in which different analysis method and models was integrated. By providing data, right models and analysis methods, RADDSS can assist decision-makers and administrators to solve half-structured and unstructured problems, improving level of management on agriculture. The agriculture in Xuchang has been analyzed using the system constructed in this study.
Rather than merely supporting R&D and strengthening innovation systems, the focus of innovation policy is currently shifting towards addressing societal challenges by transforming socio-economic systems. A particular trend within the emerging era of transformative innovation policy is the pursuit of challenge-based innovation missions, such as achieving a 50 % circular economy by 2030. By formulating clear and ambitious societal goals, policy makers are aiming to steer the directionality and adoption of innovation.
Este artículo trata el problema de los varios tipos de acciones y políticas que se pueden definir como “innovaciones estructurales” en los sistemas nacionales de innovación, prestando especial atención al caso de la transformación de las interacciones entre el sector de la ciencia pública y la industria privada. El estudio se centra en la aparición y difusión de organizaciones que definen un entorno más estable y formalizado para la colaboración y la transferencia de conocimiento entre ciencia y empresa, como los centros de investigación colaborativa (CIC).
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.
Industrial agriculture and its requirement for standardized approaches is driving the world towards a global food system, shrinking the role of farmers and shifting decision-making power. On the contrary, a holistic perspective towards a new food-system design could meet the needs of a larger share of stakeholders. Long-term experiments are crucial in this transition, being the hub of knowledge and the workshop of ‘participation in’ and ‘appropriation of’ the research in agriculture over a long term.