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Assessing the sources of stranded asset risk: a proposed framework

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  • Bob Buhr

Abstract

Long-term investors, particularly bond investors, do not currently enjoy an efficient framework for assessing where stranded assets (SAs) might arise. Traditional risk categories currently embodied in credit research – Business Risk and Financial Risk – can capture a number of Environmental, Social and Governance (ESG) issues. However, there are some risks that are difficult to assess in this framework, primarily because many ESG categories themselves are not particularly efficient, or even meaningful, as analytical categories. We propose that a better analysis of these risks can be obtained by categorizing what are currently called ESG risks into three specific risk categories: (1) Operational or Management Risk; (2) Climate Risk, primarily related to climate mitigation and adaptation; and (3) Natural Capital Risks, a category intended to capture natural capital depletion, subsidy loss risks, and certain geopolitical risks – risks associated with water resources perhaps being the best example of a Natural Capital Risk. SAs can arise from all three sources, but those arising from Climate and Natural Capital Risk are more likely to be both significant and irreversible.

Suggested Citation

  • Bob Buhr, 2017. "Assessing the sources of stranded asset risk: a proposed framework," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 7(1), pages 37-53, January.
    • Handle: RePEc:taf:jsustf:v:7:y:2017:i:1:p:37-53
    DOI: 10.1080/20430795.2016.1194686
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    Cited by:

    1. Mathews, Shilpita & Surminski, Swenja & Roezer, Viktor, 2021. "The risk of corporate lock-in to future physical climate risks: the case of flood risk in England and Wales," LSE Research Online Documents on Economics 112801, London School of Economics and Political Science, LSE Library.
    2. Simshauser, Paul & Akimov, Alexandr, 2019. "Regulated electricity networks, investment mistakes in retrospect and stranded assets under uncertainty," Energy Economics, Elsevier, vol. 81(C), pages 117-133.
    3. Ansari, Dawud & Holz, Franziska, 2020. "Between stranded assets and green transformation: Fossil-fuel-producing developing countries towards 2055," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 130, pages 1-1.
    4. Helena Redondo & Elisa Aracil, 2024. "Climate‐related credit risk: Rethinking the credit risk framework," Global Policy, London School of Economics and Political Science, vol. 15(S1), pages 21-33, March.
    5. Márkus, Martin, 2023. "A társadalmi felelősségi pontszámok és a működési kockázat kapcsolata kockázati kategóriák szerint [The relationship between the ESG score and operational risk in different risk categories]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 746-771.
    6. Mathews, Shilpita & Surminski, Swenja & Roezer, Viktor, 2021. "The risk of corporate lock-in to future physical climate risks: the case of flood risk in England and Wales," LSE Research Online Documents on Economics 112807, London School of Economics and Political Science, LSE Library.
    7. Jiang, Yihuo & Ni, Hongliang & Guo, Xiaomei & Ni, Yihan, 2023. "Integrating ESG practices and natural resources management for sustainable economic development in SMEs under the double-carbon target of China," Resources Policy, Elsevier, vol. 87(PA).
    8. Zeynep Kantur, 2024. "The Impact of Decarbonization on Physical Capital Asset Utilization in Latvia," Discussion Papers 2024/01, Latvijas Banka.

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