IDEAS home Printed from https://ideas.repec.org/p/sur/seedps/148.html
   My bibliography  Save this paper

Catching on the Rebound: Why Price Elasticities are Generally Inappropriate Measures of Rebound Effects

Author

Listed:
  • Lester C Hunt

    (Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.)

  • David L Ryan

    (Department of Economics, University of Alberta, Edmonton, Canada.)

Abstract

Rebound effects occur when, due to behavioural responses by consumers to the resulting fall in the implicit price of energy services, energy efficiency improvements result in energy savings that are often less than those suggested by engineering calculations. In the absence of data on energy efficiency or on the energy services (such as heating or lighting) provided by the energy that is used to produce them, rebound effects are often estimated as the negative of own-price elasticities obtained from standard energy demand equations. Using a recently developed model of demand for energy services, which facilitates estimation of a much wider range of rebound effects than has been previously considered, this approach is shown to be inappropriate unless the energy demand equations are specified in a certain way, and even in that case, often only under somewhat heroic assumptions. Illustrative empirical analysis using UK time-series data indicates the extent to which rebound effects can differ from price elasticities.

Suggested Citation

  • Lester C Hunt & David L Ryan, 2014. "Catching on the Rebound: Why Price Elasticities are Generally Inappropriate Measures of Rebound Effects," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 148, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
  • Handle: RePEc:sur:seedps:148
    as

    Download full text from publisher

    File URL: https://repec.som.surrey.ac.uk/seeds/SEEDS148.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Roger Fouquet & Peter J.G. Pearson, 2012. "The Long Run Demand for Lighting:Elasticities and Rebound Effects in Different Phases of Economic Development," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    2. Massimo Filippini & Lester C. Hunt, 2011. "Energy Demand and Energy Efficiency in the OECD Countries: A Stochastic Demand Frontier Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 59-80.
    3. Haas, Reinhard & Schipper, Lee, 1998. "Residential energy demand in OECD-countries and the role of irreversible efficiency improvements," Energy Economics, Elsevier, vol. 20(4), pages 421-442, September.
    4. Hunt, Lester C. & Ryan, David L., 2015. "Economic modelling of energy services: Rectifying misspecified energy demand functions," Energy Economics, Elsevier, vol. 50(C), pages 273-285.
    5. Dermot Gately & Hillard G. Huntington, 2002. "The Asymmetric Effects of Changes in Price and Income on Energy and Oil Demand," The Energy Journal, , vol. 23(1), pages 19-55, January.
    6. Goerlich, Roland & Wirl, Franz, 2012. "Interdependencies between transport fuel demand, efficiency and quality: An application to Austria," Energy Policy, Elsevier, vol. 41(C), pages 47-58.
    7. Adolf Buse, 1994. "Evaluating the Linearized Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 781-793.
    8. Joanne Evans & Lester C. Hunt (ed.), 2009. "International Handbook on the Economics of Energy," Books, Edward Elgar Publishing, number 12764.
    9. I.O. Walker & Franz Wirl, 1993. "Irreversible Price-Induced Efficiency Improvements: Theory and Empirical Application to Road Transportation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 183-205.
    10. Haas, Reinhard & Nakicenovic, Nebojsa & Ajanovic, Amela & Faber, Thomas & Kranzl, Lukas & Müller, Andreas & Resch, Gustav, 2008. "Towards sustainability of energy systems: A primer on how to apply the concept of energy services to identify necessary trends and policies," Energy Policy, Elsevier, vol. 36(11), pages 4012-4021, November.
    11. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    12. Berkhout, Peter H. G. & Muskens, Jos C. & W. Velthuijsen, Jan, 2000. "Defining the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 425-432, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Hendrik Schmitz and Reinhard Madlener, 2020. "Direct and Indirect Energy Rebound Effects in German Households: A Linearized Almost Ideal Demand System Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5), pages 89-118.
    2. Martín Bordón Lesme & Jaume Freire-González & Emilio Padilla Rosa, 2021. "The direct rebound effect for two income groups: The case of Paraguay," Working Papers wpdea2103, Department of Applied Economics at Universitat Autonoma of Barcelona.
    3. Cécile Hediger, 2022. "Rebound effects in residential heating: How much does an extra degree matter?," IRENE Working Papers 22-05, IRENE Institute of Economic Research.
    4. Bianca Peters & Stephanie F. McWhinnie, 2018. "On the rebound: estimating direct rebound effects for Australian households," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(1), pages 65-82, January.
    5. Hunt, Lester C. & Ryan, David L., 2015. "Economic modelling of energy services: Rectifying misspecified energy demand functions," Energy Economics, Elsevier, vol. 50(C), pages 273-285.
    6. Zack Dorner, 2017. "A Behavioural Rebound Effect: Results from a laboratory experiment," Monash Economics Working Papers 17-17, Monash University, Department of Economics.
    7. Chitnis, Mona & Sorrell, Steve, 2015. "Living up to expectations: Estimating direct and indirect rebound effects for UK households," Energy Economics, Elsevier, vol. 52(S1), pages 100-116.
    8. Benjamin Volland, 2016. "Efficiency in Domestic Space Heating: An Estimation of the Direct Rebound Effect for Domestic Heating in the U.S," IRENE Working Papers 16-01, IRENE Institute of Economic Research.
    9. Sylvain Weber & Mehdi Farsi, 2014. "Travel distance, fuel efficiency, and vehicle weight: An estimation of the rebound effect using individual data in Switzerland," IRENE Working Papers 14-03, IRENE Institute of Economic Research.
    10. Nathan W. Chan & Kenneth Gillingham, 2015. "The Microeconomic Theory of the Rebound Effect and Its Welfare Implications," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(1), pages 133-159.
    11. Colmenares, Gloria & Löschel, Andreas & Madlener, Reinhard, 2019. "The rebound effect and its representation in energy and climate models," CAWM Discussion Papers 106, University of Münster, Münster Center for Economic Policy (MEP).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hunt, Lester C. & Ryan, David L., 2015. "Economic modelling of energy services: Rectifying misspecified energy demand functions," Energy Economics, Elsevier, vol. 50(C), pages 273-285.
    2. Tarek Atalla & Simona Bigerna & Carlo Andrea Bollino, 2018. "Energy demand elasticities and weather worldwide," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(1), pages 207-237, April.
    3. Figus, Gioele & Swales, J.Kim & Turner, Karen, 2018. "Can Private Vehicle-augmenting Technical Progress Reduce Household and Total Fuel Use?," Ecological Economics, Elsevier, vol. 146(C), pages 136-147.
    4. Chitnis, Mona & Sorrell, Steve, 2015. "Living up to expectations: Estimating direct and indirect rebound effects for UK households," Energy Economics, Elsevier, vol. 52(S1), pages 100-116.
    5. Selien De Schryder & Gert Peersman, 2016. "The U.S. Dollar Exchange Rate and the Demand for Oil," The Energy Journal, , vol. 37(1), pages 90-114, January.
    6. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2015. "A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand," Energy Economics, Elsevier, vol. 49(C), pages 599-609.
    7. Karimu, Amin & Brännlund, Runar, 2013. "Functional form and aggregate energy demand elasticities: A nonparametric panel approach for 17 OECD countries," Energy Economics, Elsevier, vol. 36(C), pages 19-27.
    8. Fedoseeva, Svetlana & Zeidan, Rodrigo, 2018. "How (a)symmetric is the response of import demand to changes in its determinants? Evidence from European energy imports," Energy Economics, Elsevier, vol. 69(C), pages 379-394.
    9. Rowland, Christopher S. & Mjelde, James W. & Dharmasena, Senarath, 2017. "Policy implications of considering pre-commitments in U.S. aggregate energy demand system," Energy Policy, Elsevier, vol. 102(C), pages 406-413.
    10. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis Part 1: Theoretical framework," Ecological Economics, Elsevier, vol. 86(C), pages 199-210.
    11. Dargay, Joyce M. & Gately, Dermot, 2010. "World oil demand's shift toward faster growing and less price-responsive products and regions," Energy Policy, Elsevier, vol. 38(10), pages 6261-6277, October.
    12. Ajanovic, Amela & Schipper, Lee & Haas, Reinhard, 2012. "The impact of more efficient but larger new passenger cars on energy consumption in EU-15 countries," Energy, Elsevier, vol. 48(1), pages 346-355.
    13. Luis Miguel Galindo & Jimy Ferrer Carbonell & José Eduardo Alatorre & Orlando Reyes, 2015. "Metaanálisis de las elasticidades ingreso y precio de la demanda de energía: algunas implicaciones de politica pública para América Latina," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 38(75), pages 9-40.
    14. Olaniyan, Monisola J. & Evans, Joanne, 2014. "The importance of engaging residential energy customers' hearts and minds," Energy Policy, Elsevier, vol. 69(C), pages 273-284.
    15. Liddle, Brantley & Sadorsky, Perry, 2020. "How much do asymmetric changes in income and energy prices affect energy demand?," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    16. Fuentes, Rolando & Sengupta, Abhijit, 2020. "Using insurance to manage reliability in the distributed electricity sector: Insights from an agent-based model," Energy Policy, Elsevier, vol. 139(C).
    17. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
    18. Lee, Chien-Chiang & Chiu, Yi-Bin, 2013. "Modeling OECD energy demand: An international panel smooth transition error-correction model," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 372-383.
    19. Meng, Ming & Li, Xinxin, 2022. "Evaluating the direct rebound effect of electricity consumption: An empirical analysis of the provincial level in China," Energy, Elsevier, vol. 239(PB).
    20. Liddle, Brantley, 2023. "Is timing everything? Assessing the evidence on whether energy/electricity demand elasticities are time-varying," Energy Economics, Elsevier, vol. 124(C).

    More about this item

    Keywords

    Energy Services Demand; Modelling Rebound Effects.;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sur:seedps:148. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Mona Chitnis (email available below). General contact details of provider: https://edirc.repec.org/data/eesuruk.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.