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Cited by 258

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Stranded Assets in the Transition to a Carbon-Free Economy

Open access
van der Ploeg, Frederick, Rezai, Armon·2020·Annual Review of Resource Economics

Abstract

Assets in the fossil fuel industries are at risk of losing market value due to unanticipated breakthroughs in renewable technology and governments stepping up climate policies in light of the Paris commitments to limit global warming to 1.5 or 2°C. Stranded assets arise due to uncertainty about the future timing of these two types of events and substantial intertemporal and intersectoral investment adjustment costs. Stranding of assets mostly affects the 20 biggest oil, gas, and coal companies who have been responsible for at least one-third of global warming since 1965, but it also affects carbon-intensive industries such as steel, aluminum, cement, plastics, and greenhouse horticulture. A disorderly transition to the carbon-free economy will lead to stranded assets and legal claims. Institutional investors should be aware of these financial risks. A broader definition of stranded assets also includes countries reliant on fossil fuel exports and workers with technology-specific skills.

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Crossref · 10.1146/annurev-resource-110519-040938

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Metadata

Authors
van der Ploeg, F., & Rezai, A.
Venue
Annual Review of Resource Economics
Published
2020-10-06
Volume
12
Issue
1
Pages
281-298
ISSN
  • 1941-1340 (ISSN-L)
  • 1941-1359
OpenAlex
W2998548817
Cited by
258
References
59
FWCI
8.55
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Stranded Assets in the Transition to a Carbon-Free Economy. https://app.cochat.ai/papers/10.1146/annurev-resource-110519-040938
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van der Ploeg, F., & Rezai, A. (2020). Stranded Assets in the Transition to a Carbon-Free Economy. Annual Review of Resource Economics. https://doi.org/10.1146/annurev-resource-110519-040938

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.