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The Valley of Death for New Energy Technologies

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  • Peter R. Hartley
  • Kenneth B. Medlock III

Abstract

It is often claimed that a difficulty of raising investment funds prevents promising new energy technologies from attaining commercial viability. We examine this issue using a dynamic intertemporal model of the displacement of fossil fuel energy technologies by non-fossil alternatives. Our model highlights the fact that since capital used to produce energy services from fossil fuels is a sunk cost, it will continue to be used so long as the price of energy covers merely short-run operating costs. Until fossil fuels are abandoned, the price of energy is insufficient to cover even the operating costs of renewable energy production, let alone provide a competitive return on the capital employed. The full long-run costs of renewable energy production are not covered until some time after fossil fuels are abandoned.

Suggested Citation

  • Peter R. Hartley & Kenneth B. Medlock III, 2017. "The Valley of Death for New Energy Technologies," The Energy Journal, , vol. 38(3), pages 33-62, May.
  • Handle: RePEc:sae:enejou:v:38:y:2017:i:3:p:33-62
    DOI: 10.5547/01956574.38.3.phar
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    References listed on IDEAS

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    1. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    2. Weyant, John P., 2011. "Accelerating the development and diffusion of new energy technologies: Beyond the "valley of death"," Energy Economics, Elsevier, vol. 33(4), pages 674-682, July.
    3. Geoffrey Heal, 1976. "The Relationship Between Price and Extraction Cost for a Resource with a Backstop Technology," Bell Journal of Economics, The RAND Corporation, vol. 7(2), pages 371-378, Autumn.
    4. Shmuel S. Oren & Stephen G. Powell, 1985. "Optimal Supply of a Depletable Resource with a Backstop Technology: Heal's Theorem Revisited," Operations Research, INFORMS, vol. 33(2), pages 277-292, April.
    5. Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard, 2000. "Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 104-115.
    6. Klaassen, Ger & Miketa, Asami & Larsen, Katarina & Sundqvist, Thomas, 2005. "The impact of R&D on innovation for wind energy in Denmark, Germany and the United Kingdom," Ecological Economics, Elsevier, vol. 54(2-3), pages 227-240, August.
    7. repec:aen:journl:2008v29-03-a07 is not listed on IDEAS
    8. Grubler, Arnulf & Messner, Sabine, 1998. "Technological change and the timing of mitigation measures," Energy Economics, Elsevier, vol. 20(5-6), pages 495-512, December.
    9. Chakravorty, Ujjayant & Roumasset, James & Tse, Kinping, 1997. "Endogenous Substitution among Energy Resources and Global Warming," Journal of Political Economy, University of Chicago Press, vol. 105(6), pages 1201-1234, December.
    10. T Randolph Beard & George S Ford & Thomas M Koutsky & Lawrence J Spiwak, 2009. "A Valley of Death in the innovation sequence: an economic investigation," Research Evaluation, Oxford University Press, vol. 18(5), pages 343-356, December.
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    • F0 - International Economics - - General

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