Barriers and Drivers for Private Investment in Nature-Based Solutions

Angulo Lopez, M.

Barriers and Drivers for Private Investment in Nature-Based Solutions

A Transdisciplinary Analysis of Private Investment in Nature-Based Solutions Using Bayesian Belief Network Theory

Master thesis (2021)

Authors

M. Angulo Lopez Civil Engineering & Geosciences

Contributors

MLC de Bruijne Technology, Policy and Management (mentor)

J.A. de Bruijn Technology, Policy and Management (mentor)

Daan Schraven Integral Design & Management (graduation committee member)

Monica A. Altamirano Deltares (graduation committee member)

Faculty

Civil Engineering & Geosciences, Civil Engineering & Geosciences

Sensitivity Analysis Database Nature-based Solutions Adaptation Governance European Union Mitigation Factors Ecosystem Scale-up Bayesian Belief Networks Green infrastructure Multidisciplinary Mixed methods Environmental Sustainability Barriers and drivers Common-pool resources Investment in infrastructure Private capital

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Published Date

29-01-2021

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

A lack of understanding of ecosystem-related projects and scarcity of natural capital reimbursement mechanisms leads to passive involvement and hesitation from the private sector when investing in nature. This study conducts a systematic literature review, furnishes a database of the relevant barriers and drivers for the private investment in Nature-Based Solutions, and using Bayesian Belief Networks builds a probabilistic graphical model of a real case.

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