Governance in socioeconomic pathways and its role for future adaptive capacity

Andrijevic, Marina ORCID: https://orcid.org/0000-0003-0199-1988 and Crespo Cuaresma, Jesus ORCID: https://orcid.org/0000-0003-3244-6560 and Muttarak, Raya ORCID: https://orcid.org/0000-0003-0627-4451 and Schleussner, Carl-Friedrich ORCID: https://orcid.org/0000-0001-8471-848X (2020) Governance in socioeconomic pathways and its role for future adaptive capacity. Nature Sustainability, 3. pp. 35-41. ISSN 2398-9629

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Abstract

Weak governance is one of the key obstacles for sustainable development. Undoubtedly, improvement of governance comes with a broad range of co-benefits, including countries’ abilities to respond to pressing global challenges such as climate change. However, beyond the qualitative acknowledgement of its importance, quantifications of future pathways of governance are still lacking. This study provides projections of future governance in line with the Shared Socioeconomic Pathways. We find that under a "rocky road" scenario, 30% of the global population would still live in countries characterized by weak governance in 2050, while under a "green road" scenario, weak governance would be almost entirely overcome over the same time frame. On the basis of pathways for governance, we estimate the adaptive capacity of countries to climate change. Limits to adaptive capacity exist even under optimistic pathways beyond mid-century. Our findings underscore the importance of accounting for governance in assessments of climate change impacts.

Item Type: Article
Keywords: Climate-change adaptation, socioeconomic scenarios
Divisions: Departments > Volkswirtschaft > Makroökonomie
Forschungsinstitute > Kryptoökonomie
Kompetenzzentren > Sustainability Transf. & Responsibility
Version of the Document: Accepted for Publication
Depositing User: Gertraud Novotny
Date Deposited: 28 Apr 2020 07:52
Last Modified: 28 Apr 2020 07:52
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/94265/
URI: https://epub.wu.ac.at/id/eprint/7583

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