Este trabajo se centra en el análisis de los impactos del sistema regional de innovación en el País Vasco, y especialmente en su capacidad para impulsar la transformación estruc-tural de la economía vasca y potenciar su competitividad en el contexto de la creciente globalización y ampliación de la UE.
Tomando el caso de la agricultura holandesa como ejemplo, en este documento se hace un análisis del surgimiento y el papel de los gestores sistémicos de innovación en el estímulo de la interacción al interior del sistema de innovación agrícola y el desarrollo de la capacidad de innovación, además de reflexionar sobre su posible función en la agricultura de los países en vías de desarrollo y emergentes así como en la forma en que se puede promover su surgimiento y operación.
This paper reflects on the experience of the Research Into Use (RIU) projects in Asia. It reconfirms much of what has been known for many years about the way innovation takes place and finds that many of the shortcomings of RIU in Asia were precisely because lessons from previous research on agricultural innovation were “not put into use” in the programme’s implementation. However, the experience provides three important lessons for donors and governments to make use of agricultural research: (i) Promoting research into use requires enabling innovation.
International centres of excellence (ICE) in which foreign research organizations are attracted to developing and emerging countries via dedicated funding schemes to support technological catching-up and strengthening of innovation systems, can have benefits for both host countries and their international research partners through knowledge spill-overs and business opportunities.
Invasive species such as Ambrosia (an annual weed) pose a biosecurity risk whose management depends on the knowledge, attitudes and practices of many stakeholders. It can therefore be considered a complex policy and risk governance problem. Complex policy problems are characterised by high uncertainty, multiple dimensions, interactions across different spatial and policy levels, and the involvement of a multitude of actors and organisations. This paper provides a conceptual framework for analysing the multi-level and multi-actor dimensions of Ambrosia management.
This paper seeks to contribute to a better understanding of the complex dynamics that shape the contribution of research to policy and innovation processes that address ‘competing claims’ on natural resources and their management.
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.
Research-based evidence on the adoption of climate-smart agricultural practices is vital to their effective uptake, continued use and wider diffusion. In addition, an enabling policy environment at the national and regional levels is necessary for this evidence to be used effectively. This chapter analyzes a 4-year period of continuous policy engagement in East Africa in an attempt to understand the role of multi-stakeholder platforms (MSPs) in facilitating an enabling policy environment for climate change adaptation and mitigation.
The article presents indicators of the agricultural industry management system: doing business in a digital and technological transformation from the perspective of an ontological approach. It is important to note that it is impossible to transform under the requirements of the modern world without the introduction of innovation. However, innovation is always marked by financial costs and loss of time, which reduces the innovative activity of organizations in the agricultural sector, and, therefore, determines the diagnosis of innovation and investment policy.
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.