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Derisking Electricity Prices For Decarbonisation: A novel perspective on market incompleteness through irreversibility

Author

Listed:
  • Louis Soumoy
  • Jules Welgryn

Abstract

Decarbonising European industry requires significant electrification, yet long-term electricity contracting – particularly through Power Purchase Agreements (PPAs) – has failed to take off at scale. While policy makers imagined PPAs as a key tool to reduce risk and encourage investment in both clean electricity and electrified industrial processes, historical data shows that this expectation may be misplaced. In this paper, we bring new theoretical backing to the initially unexpected lack of contracting, by highlighting the intricate relationship between risk and ambiguity in these infrastructure-heavy settings – and show that the irreversible nature of such contract can hinder their signature. To achieve this, we build a bilateral contracting model mimicking contract negotiations between two agents faced with irreversible investment decisions. By addressing these issues, we bridge a literature gap by linking research on industrial decarbonisation, electricity market incompleteness, and risk management.Our bilateral contracting model contributes to several strands of research. It offers a new perspective on market incompleteness for infrastructure-heavy sectors. We then extend the theoretical insights with real-world calibrations, allowing us to determine whether the risk aversion or irreversibility effect dominate in electricity markets. Our findings suggest that high market volatility amplifies the irreversibility premium and the associated opportunity costs of entering contracts, thereby outweighing the effects of ambiguity aversion. Through these results, we also contribute to the literatures exploring electricity market incompleteness as well as industrial decarbonisation under uncertainty - at times where risk and ambiguity are considered as the main barriers preventing rapid decarbonisation investments in these sectors.

Suggested Citation

  • Louis Soumoy & Jules Welgryn, 2025. "Derisking Electricity Prices For Decarbonisation: A novel perspective on market incompleteness through irreversibility," EconomiX Working Papers 2025-37, University of Paris Nanterre, EconomiX.
  • Handle: RePEc:drm:wpaper:2025-37
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    References listed on IDEAS

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    1. Loïc Berger & Massimo Marinacci, 2020. "Model Uncertainty in Climate Change Economics: A Review and Proposed Framework for Future Research," Working Papers hal-02914088, HAL.
    2. Eduardo Schwartz & James E. Smith, 2000. "Short-Term Variations and Long-Term Dynamics in Commodity Prices," Management Science, INFORMS, vol. 46(7), pages 893-911, July.
    3. Peter Smith & Michael Wickens, 2002. "Asset Pricing with Observable Stochastic Discount Factors," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 397-446, July.
    4. Hendrik Bessembinder & Michael L. Lemmon, 2002. "Equilibrium Pricing and Optimal Hedging in Electricity Forward Markets," Journal of Finance, American Finance Association, vol. 57(3), pages 1347-1382, June.
    5. Loïc Berger & Massimo Marinacci, 2020. "Model Uncertainty in Climate Change Economics: A Review and Proposed Framework for Future Research," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(3), pages 475-501, November.
    6. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    7. Geoffrey Heal & Antony Millner, 2013. "Uncertainty and Decision in Climate Change Economics," NBER Working Papers 18929, National Bureau of Economic Research, Inc.
    8. Antony Millner & Simon Dietz & Geoffrey Heal, 2013. "Scientific Ambiguity and Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(1), pages 21-46, May.
    9. Vasicek, Oldrich, 1977. "An equilibrium characterization of the term structure," Journal of Financial Economics, Elsevier, vol. 5(2), pages 177-188, November.
    10. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    11. Vasicek, Oldrich Alfonso, 1977. "Abstract: An Equilibrium Characterization of the Term Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(4), pages 627-627, November.
    12. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    13. Robert S. Pindyck, 1999. "The Long-Run Evolutions of Energy Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-27.
    14. Serhan Cevik & Keitaro Ninomiya, 2023. "Chasing the sun and catching the wind: Energy transition and electricity prices in Europe," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(4), pages 912-935, December.
    15. Thijssen, Jacco J.J., 2011. "Incomplete markets, ambiguity, and irreversible investment," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 909-921, June.
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    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D25 - Microeconomics - - Production and Organizations - - - Intertemporal Firm Choice: Investment, Capacity, and Financing
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • L97 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Utilities: General

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