IDEAS home Printed from https://ideas.repec.org/p/enp/wpaper/eprg1215.html
   My bibliography  Save this paper

Option values of low carbon technology policies: how to combine irreversibility effects and learning-by-doing in decisions

Author

Listed:
  • Dominique Finon

    (Ecole Polytechnique and INRA-ALISS)

  • Guy Meunier

    (CNRS - CIRED)

Abstract

In this paper, the political dilemma of the deployment of a large-size low carbon technology (LCT) is analyzed. A simple dynamic model is developed to analyze the interrelation between irreversible investments and learning-by-doing within a context of exogenous uncertainty on carbon price. Contrasting results are obtained. In some cases, the usual irreversibility effects hold, fewer plants of the LCT should be developed when information is anticipated. In other cases, this result is reversed and information arrival can justify an early deployment of the LCT. More precisely, it is shown that marginal reasoning is limited when learning by-doing, and more generally endogenous technical change, is considered. When information arrival is anticipated the optimal policy can move from a corner optimum with no LCT deployment to an interior optimum with a strictly positive development.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Dominique Finon & Guy Meunier, 2012. "Option values of low carbon technology policies: how to combine irreversibility effects and learning-by-doing in decisions," Working Papers EPRG 1215, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  • Handle: RePEc:enp:wpaper:eprg1215
    as

    Download full text from publisher

    File URL: https://www.jbs.cam.ac.uk/wp-content/uploads/2023/12/eprg-wp1215.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alistair Ulph & David Ulph, "undated". "Global Warming, Irreversibility And Learning," ELSE working papers 056, ESRC Centre on Economics Learning and Social Evolution.
    2. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    3. Pindyck, Robert S, 1988. "Irreversible Investment, Capacity Choice, and the Value of the Firm," American Economic Review, American Economic Association, vol. 78(5), pages 969-985, December.
    4. Rothschild, Michael & Stiglitz, Joseph E., 1971. "Increasing risk II: Its economic consequences," Journal of Economic Theory, Elsevier, vol. 3(1), pages 66-84, March.
    5. Baker, Erin & Shittu, Ekundayo, 2006. "Profit-maximizing R&D in response to a random carbon tax," Resource and Energy Economics, Elsevier, vol. 28(2), pages 160-180, May.
    6. Ulph, Alistair & Ulph, David, 1997. "Global Warming, Irreversibility and Learning," Economic Journal, Royal Economic Society, vol. 107(442), pages 636-650, May.
    7. Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
    8. Ben S. Bernanke, 1983. "Irreversibility, Uncertainty, and Cyclical Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(1), pages 85-106.
    9. Manne, Alan S. & Barreto, Leonardo, 2004. "Learn-by-doing and carbon dioxide abatement," Energy Economics, Elsevier, vol. 26(4), pages 621-633, July.
    10. Sue Wing, Ian, 2006. "Representing induced technological change in models for climate policy analysis," Energy Economics, Elsevier, vol. 28(5-6), pages 539-562, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Baker, Erin & Shittu, Ekundayo, 2008. "Uncertainty and endogenous technical change in climate policy models," Energy Economics, Elsevier, vol. 30(6), pages 2817-2828, November.
    2. Erin Baker, 2009. "Optimal Policy under Uncertainty and Learning about Climate Change: A Stochastic Dominance Approach," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 11(5), pages 721-747, October.
    3. Baker, Erin & Shittu, Ekundayo, 2006. "Profit-maximizing R&D in response to a random carbon tax," Resource and Energy Economics, Elsevier, vol. 28(2), pages 160-180, May.
    4. Michael Toman, 1998. "Research Frontiers in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(3), pages 603-621, April.
    5. Bulan, Laarni & Mayer, Christopher & Somerville, C. Tsuriel, 2009. "Irreversible investment, real options, and competition: Evidence from real estate development," Journal of Urban Economics, Elsevier, vol. 65(3), pages 237-251, May.
    6. Baker, Erin, 2005. "Uncertainty and learning in a strategic environment: global climate change," Resource and Energy Economics, Elsevier, vol. 27(1), pages 19-40, January.
    7. Narain, Urvashi & Hanemann, W. Michael & Fisher, Anthony C., 2004. "The Temporal Resolution of Uncertainty and the Irreversibility Effect," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7nn328qg, Department of Agricultural & Resource Economics, UC Berkeley.
    8. Attanasi, Giuseppe Marco & Montesano, Aldo, 2010. "Testing Value vs Waiting Value in Environmental Decisions under Uncertainty," TSE Working Papers 10-154, Toulouse School of Economics (TSE).
    9. Miao, Jianjun & Wang, Neng, 2007. "Investment, consumption, and hedging under incomplete markets," Journal of Financial Economics, Elsevier, vol. 86(3), pages 608-642, December.
    10. Narain, Urvashi & Hanemann, W. Michael & Fisher, Anthony C, 2007. "The irreversibility effect in environmental decisionmaking," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7bc5t8cf, Department of Agricultural & Resource Economics, UC Berkeley.
    11. Tarek A Hassan & Stephan Hollander & Laurence van Lent & Ahmed Tahoun, 2019. "Firm-Level Political Risk: Measurement and Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(4), pages 2135-2202.
    12. van den Bergh, Jeroen C.J.M., 2008. "Optimal diversity: Increasing returns versus recombinant innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 565-580, December.
    13. Glover, Brent & Levine, Oliver, 2015. "Uncertainty, investment, and managerial incentives," Journal of Monetary Economics, Elsevier, vol. 69(C), pages 121-137.
    14. Claudiu Tiberiu Albulescu & Şerban Miclea & Simina Silvana Suciu & Matei Tămăşilă, 2018. "Firm-level investment in the extractive industry from CEE countries: the role of macroeconomic uncertainty and internal conditions," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 193-208, June.
    15. Spilimbergo, Antonio & Jirasavetakul, La-Bhus, 2018. "Economic Policy Uncertainty in Turkey," CEPR Discussion Papers 13352, C.E.P.R. Discussion Papers.
    16. Tarek A. Hassan & Stephan Hollander & Laurence Van Lent & Ahmed Tahoun, 2024. "The Global Impact of Brexit Uncertainty," Journal of Finance, American Finance Association, vol. 79(1), pages 413-458, February.
    17. Abel, Andrew B. & Eberly, Janice C., 1998. "The mix and scale of factors with irreversibility and fixed costs of investment," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 48(1), pages 101-135, June.
    18. Gabriel P. Mathy, 2020. "How much did uncertainty shocks matter in the Great Depression?," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 14(2), pages 283-323, May.
    19. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans: Evidence from the Unexpected Acceptance of a Far-Reaching Referendum in Switzerland," CESifo Working Paper Series 5887, CESifo.
    20. Tarun Sabarwal, 2005. "The non-neutrality of debt in investment timing: a new NPV rule," Annals of Finance, Springer, vol. 1(4), pages 433-445, October.

    More about this item

    Keywords

    investment; option value; learning-by-doing;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:enp:wpaper:eprg1215. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ruth Newman (email available below). General contact details of provider: https://edirc.repec.org/data/jicamuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.