IDEAS home Printed from https://ideas.repec.org/a/aen/journl/1992v13-04-a11.html
   My bibliography  Save this article

Estimating Disaggregated Price Elasticities in Industrial Energy Demand

Author

Listed:
  • Mahmoud A. T Elkhafif

Abstract

Econometric energy models are used to evaluate past policy experiences, assess the impact of future policies and forecast energy demand. This paper estimates an industrial energy demand model for the province of Ontario using a linear-logit specification for fuel type equations which are embedded in an aggregate energy demand equation. Short term, long-term, own- and cross-price elasticities are estimated for electricity, natural gas, oil and coal. Own- and cross-price elasticities are disaggregated to show the overall price elasticities and the "energy-constant" price elasticities when aggregate energy use is held unchanged. These disaggregations suggest that a substantial part of energy conservation comes from the higher aggregate price of energy and not from interfuel substitution.

Suggested Citation

  • Mahmoud A. T Elkhafif, 1992. "Estimating Disaggregated Price Elasticities in Industrial Energy Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 209-218.
    • Handle: RePEc:aen:journl:1992v13-04-a11
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=1095
    Download Restriction: Access to full text is restricted to IAEE members and subscribers.
    ---><---

    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. Gardner, Douglas T. & Elkhafif, Mahmoud A. T., 1998. "Understanding industrial energy use: structural and energy intensity changes in Ontario industry," Energy Economics, Elsevier, vol. 20(1), pages 29-41, February.
    2. Gang Du & Chuanwang Sun, 2015. "Determinants of Electricity Demand in Nonmetallic Mineral Products Industry: Evidence from a Comparative Study of Japan and China," Sustainability, MDPI, vol. 7(6), pages 1-25, June.
    3. Genc, Talat S. & Aydemir, Abdurrahman, 2017. "Power trade, welfare, and air quality," Energy Economics, Elsevier, vol. 67(C), pages 423-438.
    4. Lin, Boqiang & Long, Houyin, 2014. "How to promote energy conservation in China’s chemical industry," Energy Policy, Elsevier, vol. 73(C), pages 93-102.
    5. Lin, Boqiang & Long, Houyin, 2014. "Promoting carbon emissions reduction in China's chemical process industry," Energy, Elsevier, vol. 77(C), pages 822-830.
    6. Weng, Weifeng & Mount, Timothy D., 1997. "Demand Systems For Energy Forecasting: Practical Considerations For Estimating A Generalized Logit Model," Working Papers 127814, Cornell University, Department of Applied Economics and Management.
    7. Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
    8. Galetovic, Alexander & Muñoz, Cristián M., 2011. "Regulated electricity retailing in Chile," Energy Policy, Elsevier, vol. 39(10), pages 6453-6465, October.
    9. Genc, Talat S. & Sen, Suvrajeet, 2008. "An analysis of capacity and price trajectories for the Ontario electricity market using dynamic Nash equilibrium under uncertainty," Energy Economics, Elsevier, vol. 30(1), pages 173-191, January.

    More about this item

    JEL classification:

    • F0 - International Economics - - General

    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:aen:journl:1992v13-04-a11. 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: David Williams (email available below). General contact details of provider: https://edirc.repec.org/data/iaeeeea.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.