Abstract
Governance, financing, and business models are deeply interlinked and relevant for the
successful implementation of urban nature-based solutions (NBS). However, during the definition of urban NBS projects the importance and interrelation of these models are usually neglected. To overcome this limitation, this paper presents an overarching framework (conceptual and operational) and a derived preselection web tool which interrelate governance, financing, and business models for NBS projects. First, based on recent literature, governance, financing, and business models that could be applied to NBS were mapped, and their integration proposed. Later, key contextual factors influencing NBS implementation were identified. They form the basis of a WHAT–WHO–HOW framework that structures the links between specific NBS projects, their implementation context, and the most suitable models. From that framework, and an analysis of 50 successful NBS case studies, a suitability matrix was developed with known models. The matrix allows pairing types of NBS and their initiating actors with suitable financing and governance models. Lastly, a tailored NBS business model canvas was designed to evaluate the business model components. From the overarching framework, the preselection web tool was created to guide decision-making on suitable governance, finance, and business models in the early phases of NBS projects.
Original language | English |
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Article number | 11931 |
Pages (from-to) | 11931 |
Number of pages | 1 |
Journal | Sustainability |
Volume | 13 |
Issue number | 21 |
DOIs | |
Publication status | Published - 28 Oct 2021 |
Keywords
- Nature-based solutions
- Implementation models
- Governance
- Financing
- Business models
- Urban areas
Project and Funding Information
- Project ID
- info:eu-repo/grantAgreement/EC/H2020/730468/EU/Nature Based Solutions for re-naturing cities: knowledge diffusion and decision support platform through new collaborative models/Nature4Cities
- Funding Info
- This project has received funding from the European Union’s Horizon 2020 research and_x000D_ innovation programme under grant agreement No 730468