In the last two decades the world has experienced several crises. In light of these trends and to more effectively move towards sustainable development, several organisations and international actors have developed the concept of green economy as action-oriented approaches. Priority interventions are aimed at triggering technology adoption, and stimulating behavioural change. In fact, eco-innovation can be considered an enabler for a green economy to the same extent that the green economy can be understood as an enabler of sustainable development.
Innovation for sustainable development network (in short inno4sd.net) is designed to address these challenges, ranging the conceptualization of eco-innovation and the green economy, to the harmonisation of the approaches needed to coherently assess performance and identify gaps (successes and failures) for the effective adoption of technologies that can create win-win results. In particular, the project is designed so as to improve:
- Harmonisation of definitions,
- Collection of relevant information on the performance of past and current efforts, and;
- Co-ordination among stakeholders.
Inno4sd.net sees the main challenges in an improved understanding (and scientific assessment) of the concepts of green economy and eco-innovation, on the adaptation of policy agendas, the documentation of best practices and guidelines for knowledge transfer and transferability.
The inter- and transdisciplinary inno4sd network is research based and aims to accelerate the transition towards a green economy significantly, with a European focus on co-development of knowledge. It aims to exploit win-win-opportunities, improve the uptake of R&D results and the competitiveness of European enterprises. It includes the following work packages: Networking and co-ordination; Harmonisation of concepts of green economy and eco-innovation; Eco-innovation policy agendas: global knowledge synthesis of rationales and evidence; Best practices, knowledge transfer, transferability; Integration and operationalization of lessons learned.