The GREEN-WIN project is a major international transdisciplinary research collaboration applying a solution-oriented approach targeted at increasing the understanding of links between climate action and sustainability and overcoming implementation barriers through win-win strategies. The project critically assessing where and under which conditions win-win and in particular green growth strategies work in practice and where fundamental tradeoffs must be faced. The project team is focusing on four critical barriers that have been identified by practitioners and policy makers. These include:
- Develop transformative narratives highlighting opportunities in climate and sustainability action in order to contribute to overcoming cognitive barriers and empowering people.
- Examine climate and sustainability finance policies and governance arrangements in order to contribute to overcoming financial barriers to mitigation and adaptation.
- Substantiate the economics of green growth in order to contribute to overcoming economic and collective action barriers to de-carbonisation. Towards this end, we introduce major innovations into the GEM-E3 computable general equilibrium model required to discover green growth strategies. These include developing a network-based model of technological diffusion, and introducing financial market constraints and adaptive expectations of agents.
- Contribute to overcoming economic and institutional barriers through identifying win-win strategies, sustainable business models and enabling environments in three action fields of coastal zone flood risk management, urban transformations and energy poverty eradication and resilience.
All these activities are embedded within a sustained international dialogue involving stakeholders from policy, research, civil society and the private sector, and an open knowledge management and capacity building strategy to promote knowledge transfer and learning beyond the project lifespan.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 642018, and the Swiss State Secretariat for Education, Research and Innovation (Project No 15.0216)