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A science-based heuristic to guide sector-level SDG investment strategy
Stockholm University, Faculty of Science, Stockholm Resilience Centre. Royal Swedish Academy of Sciences, Sweden.
Stockholm University, Faculty of Science, Stockholm Resilience Centre. Royal Swedish Academy of Sciences, Sweden; SustainableFinance Lab SWEDEN, Sweden.ORCID iD: 0000-0003-1617-4067
Stockholm University, Faculty of Science, Stockholm Resilience Centre. Royal Swedish Academy of Sciences, Sweden.ORCID iD: 0000-0002-5002-0224
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Number of Authors: 62024 (English)In: Journal of Sustainable Finance & Investment, ISSN 2043-0795, E-ISSN 2043-0809, Vol. 14, no 2, p. 258-282Article in journal (Refereed) Published
Abstract [en]

Aligning investments with Sustainable Development Goals (SDGs) has been a longstanding ambition for many private investors. The assessment of corporate impact on the SDGs is not a trivial task, and most present-day attempts often overlook SDG interactions, and lack scientific anchoring and transparency. We present an evidence-based review approach for investors to assess sector-level impacts on individual SDGs, and score these using a traffic-light system. Our initial review documents impacts of 81 economic sectors on SDGs 1-16. Results show that environmental SDGs are impacted negatively by most economic sectors, and that primary sector activities negatively impact the highest number of SDGs. Using the agricultural sector as a case, we draw on Causal Loop methodology to illustrate spillovers resulting from SDG interactions. Our findings point to three key considerations of relevance for sustainable investment strategies; the necessity to capture ‘impact shadows’, spillovers across SDGs, and the hierarchical nature of the SDGs.

Place, publisher, year, edition, pages
2024. Vol. 14, no 2, p. 258-282
Keywords [en]
Sustainable development goals, economic sectors, impact assessment, sustainable investing, systems thinking, Green & Sustainable Science & Technology
National Category
Economics
Identifiers
URN: urn:nbn:se:su:diva-228201DOI: 10.1080/20430795.2024.2320318ISI: 001175148000001Scopus ID: 2-s2.0-85186592787OAI: oai:DiVA.org:su-228201DiVA, id: diva2:1850361
Available from: 2024-04-10 Created: 2024-04-10 Last updated: 2024-04-29Bibliographically approved

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Maniatakou, SofiaCrona, BeatriceOhlsson, Moa

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