IDEAS home Printed from https://ideas.repec.org/a/taf/ecsysr/v34y2022i3p253-272.html
   My bibliography  Save this article

Energy efficiency and rebound effects in German industry – evidence from macroeconometric modeling

Author

Listed:
  • Christian Lutz
  • Maximilian Banning
  • Lara Ahmann
  • Markus Flaute

Abstract

Increases in energy efficiency are reduced by the rebound effect. Efficiency gains on the micro level do not lead to proportionate reductions of energy consumption on the macro level. The German energy-economy model PANTA RHEI is applied to better understand the rebound effect. To get more robust estimates micro data from a cost structure survey of the German manufacturing sector was used to derive price elasticities of energy demand. The mesoeconomic rebound effect of an autonomous increase in energy efficiency at the industry level in manufacturing is between 7% in 2021 and 12% in 2030. The macroeconomic rebound effect lies between 12% in 2021 and 18% in 2030. Inclusion of necessary investment and assumptions of higher elasticities of substitution increase the effects. Rebound effects limit the scope of technology-driven efficiency improvements and must be considered in the design of ambitious energy efficiency programs and climate policies.

Suggested Citation

  • Christian Lutz & Maximilian Banning & Lara Ahmann & Markus Flaute, 2022. "Energy efficiency and rebound effects in German industry – evidence from macroeconometric modeling," Economic Systems Research, Taylor & Francis Journals, vol. 34(3), pages 253-272, July.
  • Handle: RePEc:taf:ecsysr:v:34:y:2022:i:3:p:253-272
    DOI: 10.1080/09535314.2021.1937953
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09535314.2021.1937953
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09535314.2021.1937953?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
    ---><---

    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. Tripathy, Prajukta & Jena, Pabitra Kumar & Mishra, Bikash Ranjan, 2024. "Systematic literature review and bibliometric analysis of energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).

    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:taf:ecsysr:v:34:y:2022:i:3:p:253-272. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CESR20 .

    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.