IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v28y1982i4p418-424.html
   My bibliography  Save this article

A Model of Technology Selection by Cost Minimizing Producers

Author

Listed:
  • Dean W. Boyd

    (Decision Focus, Inc., Palo Alto, California)

  • Robert L. Phillips

    (Decision Focus, Inc., Palo Alto, California)

  • Stephan G. Regulinski

    (Decision Focus, Inc., Palo Alto, California)

Abstract

A set of microeconomic assumptions are presented that lead to a model of the technology choices made by producers of a homogenous energy product. Under these assumptions it is possible to model the technology selection decision as being made solely to minimize product cost. Since the cost of producing energy using a particular technology will be different for different producers, a number of technologies will be adopted in the market rather than a single, "least-cost" technology.

Suggested Citation

  • Dean W. Boyd & Robert L. Phillips & Stephan G. Regulinski, 1982. "A Model of Technology Selection by Cost Minimizing Producers," Management Science, INFORMS, vol. 28(4), pages 418-424, April.
  • Handle: RePEc:inm:ormnsc:v:28:y:1982:i:4:p:418-424
    DOI: 10.1287/mnsc.28.4.418
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.28.4.418
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.28.4.418?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Ashina, Shuichi & Nakata, Toshihiko, 2008. "Quantitative analysis of energy-efficiency strategy on CO2 emissions in the residential sector in Japan - Case study of Iwate prefecture," Applied Energy, Elsevier, vol. 85(4), pages 204-217, April.
    2. Reister, David B., 1990. "2.3 The hybrid approach to demand modeling," Energy, Elsevier, vol. 15(3), pages 249-260.
    3. Ashina, Shuichi & Nakata, Toshihiko, 2008. "Energy-efficiency strategy for CO2 emissions in a residential sector in Japan," Applied Energy, Elsevier, vol. 85(2-3), pages 101-114, February.
    4. Riddle, Matthew & Macal, Charles M. & Conzelmann, Guenter & Combs, Todd E. & Bauer, Diana & Fields, Fletcher, 2015. "Global critical materials markets: An agent-based modeling approach," Resources Policy, Elsevier, vol. 45(C), pages 307-321.

    More about this item

    Keywords

    market share; energy modeling;

    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:inm:ormnsc:v:28:y:1982:i:4:p:418-424. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.