IDEAS home Printed from https://ideas.repec.org/a/rje/bellje/v7y1976iautumnp379-406.html
   My bibliography  Save this article

ETA: A Model for Energy Technology Assessment

Author

Listed:
  • Alan S. Manne

Abstract

This article explores some of the options by which the U.S. could move away from its present heavy dependence upon oil and gas toward a more diversified energy economy. Through nonlinear programming, our model incorporates both own- and cross-price elasticities of demand. In this way, it allows for price-induced interfuel substitution and energy conservation. Among the supply options studied are: direct combustion of coal to generate electricity; conversion of coal to synthetic fuels; nuclear energy -- first from the light water reactor and later from the fast breeder; hydrogen via electrolysis; and distant future technical options such as fusion and central station solar power (aggregated and described only as an "advanced technology"). Each energy source has its own cost parameters and introduction date, but is interdependent with other components of the energy sector. For example, the amount of coal consumed in electric power plants can affect the marginal cost of production -- and hence the cost of coal-based synthetic fuels for nonelectric energy. The converse is also true. Thus, it is not sufficient to look at individual technologies in isolation. We must attempt to compare their effects upon the system as a whole.

Suggested Citation

  • Alan S. Manne, 1976. "ETA: A Model for Energy Technology Assessment," Bell Journal of Economics, The RAND Corporation, vol. 7(2), pages 379-406, Autumn.
  • Handle: RePEc:rje:bellje:v:7:y:1976:i:autumn:p:379-406
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0361-915X%28197623%297%3A2%3C379%3AEAMFET%3E2.0.CO%3B2-Z&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rideout, Vincent C., 1981. "The modeling of socio-economic-resource systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 23(2), pages 111-126.
    2. Okushima, Shinichiro & Tamura, Makoto, 2007. "Multiple calibration decomposition analysis: Energy use and carbon dioxide emissions in the Japanese economy, 1970-1995," Energy Policy, Elsevier, vol. 35(10), pages 5156-5170, October.
    3. Auer, P.L. & Manne, A.S. & Yu, O.S., 1976. "Nuclear power, coal and energy conservation (with a note on the costs of a nuclear moratorium)," Energy, Elsevier, vol. 1(3), pages 301-313.
    4. Natalia Gennadyevna Zakharchenko & Olga Valeryevna Dyomina, 2015. "Modelling Energy - Economy Interactions: The Far East Experience," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 1, pages 62-90.
    5. Huntington, Hillard G., 2021. "Model evaluation for policy insights: Reflections on the forum process," Energy Policy, Elsevier, vol. 156(C).
    6. Nordhaus, William, 2013. "Integrated Economic and Climate Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1069-1131, Elsevier.
    7. Uri, Noel D. & Boyd, Roy, 1998. "Aggregate impacts of the proposed reduction in the motor fuels excise tax in the United States1," Energy Economics, Elsevier, vol. 20(3), pages 309-323, June.
    8. John Rowse, 1991. "Discount Rate Selection and Efficiency in Allocating a Nonrenewable Resource," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 127(II), pages 245-265, June.
    9. Manne, Alan S. & Richels, Richard G., 1978. "A decision analysis of the U.S. breeder reactor program," Energy, Elsevier, vol. 3(6), pages 747-767.
    10. Yunfa Zhu and Madanmohan Ghosh, 2014. "Impacts of Technology Uncertainty on Energy Use, Emission and Abatement Cost in USA: Simulation results from Environment Canada's Integrated Assessment Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    11. Okushima, Shinichiro & Tamura, Makoto, 2011. "Identifying the sources of energy use change: Multiple calibration decomposition analysis and structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 22(4), pages 313-326.
    12. Bora KAT & Çaglar GÜVEN & Ebru VOYVODA, 2008. "A General Equilibrium Energy-Economy Model for Turkey," EcoMod2008 23800059, EcoMod.
    13. Noel D. Uri & Roy Boyd, 1997. "The Effects of Reducing the Motor Fuels Excise Tax on Agriculture in the United States," Energy & Environment, , vol. 8(1), pages 45-63, March.
    14. Rowse, John, 1980. "1. On User Solution Strategy for Mixed-Integer Linear Programming Models 2. On the Solution of Spatial Price and Allocation Models," Queen's Institute for Economic Research Discussion Papers 275172, Queen's University - Department of Economics.
    15. Jaime de Melo & Julie Stanton & David Tarr, 2015. "Revenue-Raising Taxes: General Equilibrium Evaluation of Alternative Taxation in U.S. Petroleum Industries," World Scientific Book Chapters, in: Modeling Developing Countries' Policies in General Equilibrium, chapter 24, pages 505-529, World Scientific Publishing Co. Pte. Ltd..
    16. Havlicek, Joseph, Jr. & Capps, Oral, Jr., 1977. "Needed Research With Respect To Energy Use In Agricultural Production," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 9(1), pages 1-8, July.
    17. J. S. Rogers, 1987. "Some Long-term Impacts of $(US)15 Oil on Energy Policy and on Engineering R&D Policy: Results from the EMCAN Model," Canadian Public Policy, University of Toronto Press, vol. 13(1), pages 41-48, March.
    18. Trutnevyte, Evelina, 2016. "Does cost optimization approximate the real-world energy transition?," Energy, Elsevier, vol. 106(C), pages 182-193.
    19. Hammond, Geoffrey P. & O’Grady, Áine, 2017. "Indicative energy technology assessment of UK shale gas extraction," Applied Energy, Elsevier, vol. 185(P2), pages 1907-1918.
    20. Boucher, Jacqueline & Smeers, Yves, 1985. "Programmation mathématique et modélisation énergétique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 61(1), pages 24-50, mars.

    More about this item

    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:rje:bellje:v:7:y:1976:i:autumn:p:379-406. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://www.rje.org .

    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.