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Green investment and asset stranding under transition scenario uncertainty

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  • Flora, Maria
  • Tankov, Peter

Abstract

Risks and opportunities related to environmental transition are usually evaluated through the use of scenarios, produced and maintained by international bodies such as the International Energy Agency. This approach assumes perfect knowledge of the scenario by the agent, but in reality, scenario uncertainty is an important obstacle for making optimal investment or divestment decisions. In this paper, we develop a real-options approach to evaluate assets and potential investment projects under dynamic climate transition scenario uncertainty. We use off-the-shelf Integrated Assessment Model (IAM) scenarios and assume that the economic agent acquires the information about the scenario progressively by observing a signal, such as the carbon price or the greenhouse gas emissions. The problem of valuing an investment is formulated as an American option pricing problem, where the optimal exercise time corresponds to the time of entering a potential investment project or the time of selling a potentially stranded asset. To illustrate our approach, we employ representative scenarios from the scenario database of the Network for Greening the Financial System in two energy-related examples: the divestment decision from a coal-fired power plant without Carbon Capture and Storage (CCS) technology and the potential investment into a green coal-fired power plant with CCS. In both cases, we find that the real option value is very sensitive to scenario uncertainty: the value of the coal-fired power plant is reduced by 25% and that of the green coal investment project is reduced by 7% when the agent deduces the scenario by observing carbon emissions, compared to the setting when the true scenario is known. We also find that scenario uncertainty can lead to considerable delays in the implementation of green investment projects, emphasizing the importance of timely and precise climate policy information.

Suggested Citation

  • Flora, Maria & Tankov, Peter, 2023. "Green investment and asset stranding under transition scenario uncertainty," Energy Economics, Elsevier, vol. 124(C).
    • Handle: RePEc:eee:eneeco:v:124:y:2023:i:c:s0140988323002712
    DOI: 10.1016/j.eneco.2023.106773
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    1. Jennifer Cronin & Gabrial Anandarajah & Olivier Dessens, 2018. "Climate change impacts on the energy system: a review of trends and gaps," Climatic Change, Springer, vol. 151(2), pages 79-93, November.
    2. Dmitrii Bogdanov & Javier Farfan & Kristina Sadovskaia & Arman Aghahosseini & Michael Child & Ashish Gulagi & Ayobami Solomon Oyewo & Larissa Souza Noel Simas Barbosa & Christian Breyer, 2019. "Radical transformation pathway towards sustainable electricity via evolutionary steps," Nature Communications, Nature, vol. 10(1), pages 1-16, December.
    3. Rozenberg, Julie & Vogt-Schilb, Adrien & Hallegatte, Stephane, 2020. "Instrument choice and stranded assets in the transition to clean capital," Journal of Environmental Economics and Management, Elsevier, vol. 100(C).
    4. Luis M. Abadie & José; M. Chamorro & Mikel González-Eguino, 2011. "Optimal Abandonment of EU Coal-fired Stations," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 175-208.
    5. Laurikka, Harri & Koljonen, Tiina, 2006. "Emissions trading and investment decisions in the power sector--a case study in Finland," Energy Policy, Elsevier, vol. 34(9), pages 1063-1074, June.
    6. Fuss, Sabine & Szolgayová, Jana & Khabarov, Nikolay & Obersteiner, Michael, 2012. "Renewables and climate change mitigation: Irreversible energy investment under uncertainty and portfolio effects," Energy Policy, Elsevier, vol. 40(C), pages 59-68.
    7. van der Ploeg, Frederick & Rezai, Armon, 2020. "The risk of policy tipping and stranded carbon assets," Journal of Environmental Economics and Management, Elsevier, vol. 100(C).
    8. Bonjean Stanton, Muriel C. & Dessai, Suraje & Paavola, Jouni, 2016. "A systematic review of the impacts of climate variability and change on electricity systems in Europe," Energy, Elsevier, vol. 109(C), pages 1148-1159.
    9. Flora, Maria & Vargiolu, Tiziano, 2020. "Price dynamics in the European Union Emissions Trading System and evaluation of its ability to boost emission-related investment decisions," European Journal of Operational Research, Elsevier, vol. 280(1), pages 383-394.
    10. Mo, Jianlei & Cui, Lianbiao & Duan, Hongbo, 2021. "Quantifying the implied risk for newly-built coal plant to become stranded asset by carbon pricing," Energy Economics, Elsevier, vol. 99(C).
    11. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," University of California at Los Angeles, Anderson Graduate School of Management qt43n1k4jb, Anderson Graduate School of Management, UCLA.
    12. J.-F. Mercure & H. Pollitt & J. E. Viñuales & N. R. Edwards & P. B. Holden & U. Chewpreecha & P. Salas & I. Sognnaes & A. Lam & F. Knobloch, 2018. "Macroeconomic impact of stranded fossil fuel assets," Nature Climate Change, Nature, vol. 8(7), pages 588-593, July.
    13. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 113-147.
    14. Christophe McGlade & Paul Ekins, 2015. "The geographical distribution of fossil fuels unused when limiting global warming to 2 °C," Nature, Nature, vol. 517(7533), pages 187-190, January.
    15. Siddiqui, Afzal & Fleten, Stein-Erik, 2010. "How to proceed with competing alternative energy technologies: A real options analysis," Energy Economics, Elsevier, vol. 32(4), pages 817-830, July.
    16. Jerome Detemple & Yerkin Kitapbayev & Philip Strahan, 2020. "The Value of Green Energy: Optimal Investment in Mutually Exclusive Projects and Operating Leverage," Review of Financial Studies, Society for Financial Studies, vol. 33(7), pages 3307-3347.
    17. Boomsma, Trine Krogh & Meade, Nigel & Fleten, Stein-Erik, 2012. "Renewable energy investments under different support schemes: A real options approach," European Journal of Operational Research, Elsevier, vol. 220(1), pages 225-237.
    18. Hach, Daniel & Spinler, Stefan, 2016. "Capacity payment impact on gas-fired generation investments under rising renewable feed-in — A real options analysis," Energy Economics, Elsevier, vol. 53(C), pages 270-280.
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    More about this item

    Keywords

    Transition risk; Scenario uncertainty; Bayesian learning; Stranded asset; Real options;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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