IDEAS home Printed from https://ideas.repec.org/a/eee/ecolec/v110y2015icp61-70.html
   My bibliography  Save this article

An empirical analysis of joint residential electricity efficiency gains within and across end uses: implications for demand-side management

Author

Listed:
  • Bouhou, Nour-El Imane
  • Blackhurst, Michael F.
  • Torres, Pamela

Abstract

To better understand the observed performance of demand-side approaches on residential electricity use, we develop and apply a mixed regression model of electricity consumption that includes marginal, joint technical change for multiple residential electricity end-uses (air conditioning, appliances, devices, and electric vehicles). Results indicate that the relative technical state of a home can significantly influence the performance of demand-side interventions, particularly the presence of a programmable thermostat. Within air conditioning, we generally find that “enough” consistent technical improvement is needed to realize energy savings, which could be due to engineering building performance or a declining marginal rebound effect as householders become thermally comfortable. Results indicate that homeowners do not leverage efficiency gains for appliance services but demonstrate mixed results when considering the expansion of electricity services. Householders may rebound into device loads, albeit such results are not statistically significant. However, results indicate that householders do not leverage efficiency gains for electric vehicles. These results demonstrate that the net effect of technological change in households is relative to a home's baseline technical efficiency and the degree to which homeowners seek new and existing energy services, challenging empirical assessments that do not control for the technical state of multiple end uses.

Suggested Citation

  • Bouhou, Nour-El Imane & Blackhurst, Michael F. & Torres, Pamela, 2015. "An empirical analysis of joint residential electricity efficiency gains within and across end uses: implications for demand-side management," Ecological Economics, Elsevier, vol. 110(C), pages 61-70.
  • Handle: RePEc:eee:ecolec:v:110:y:2015:i:c:p:61-70
    DOI: 10.1016/j.ecolecon.2014.12.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921800914003784
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolecon.2014.12.011?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.

    References listed on IDEAS

    as
    1. Amory B. Lovins, 1988. "Energy Saving from the Adoption of More Efficient Appliances: Another View," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 155-170.
    2. Nair, Gireesh & Gustavsson, Leif & Mahapatra, Krushna, 2010. "Factors influencing energy efficiency investments in existing Swedish residential buildings," Energy Policy, Elsevier, vol. 38(6), pages 2956-2963, June.
    3. Madlener, R. & Alcott, B., 2009. "Energy rebound and economic growth: A review of the main issues and research needs," Energy, Elsevier, vol. 34(3), pages 370-376.
    4. Freire-González, Jaume, 2011. "Methods to empirically estimate direct and indirect rebound effect of energy-saving technological changes in households," Ecological Modelling, Elsevier, vol. 223(1), pages 32-40.
    5. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    6. Michelsen, Carl Christian & Madlener, Reinhard, 2012. "Homeowners' preferences for adopting innovative residential heating systems: A discrete choice analysis for Germany," Energy Economics, Elsevier, vol. 34(5), pages 1271-1283.
    7. Peter M. Schwarz & Thomas N. Taylor, 1995. "Cold Hands, Warm Hearth? Climate, Net Takeback, and Household Comfort," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 41-54.
    8. Sanstad, Alan H & Blumstein, Carl & Stoft, Steven E, 1995. "How high are option values in energy-efficiency investments?," Energy Policy, Elsevier, vol. 23(9), pages 739-743, September.
    9. Dennis, Keith, 2006. "The Compatibility of Economic Theory and Proactive Energy Efficiency Policy," The Electricity Journal, Elsevier, vol. 19(7), pages 58-73.
    10. Saunders, Harry, 2013. "Is what we think of as “rebound” really just income effects in disguise?," Energy Policy, Elsevier, vol. 57(C), pages 308-317.
    11. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
    12. Greene, David L., 2012. "Rebound 2007: Analysis of U.S. light-duty vehicle travel statistics," Energy Policy, Elsevier, vol. 41(C), pages 14-28.
    13. Jerry A. Hausman, 1979. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 33-54, Spring.
    14. Ghosh, Neal K. & Blackhurst, Michael F., 2014. "Energy savings and the rebound effect with multiple energy services and efficiency correlation," Ecological Economics, Elsevier, vol. 105(C), pages 55-66.
    15. Blackhurst, Michael & Lima Azevedo, Inês & Scott Matthews, H. & Hendrickson, Chris T., 2011. "Designing building energy efficiency programs for greenhouse gas reductions," Energy Policy, Elsevier, vol. 39(9), pages 5269-5279, September.
    16. Hartman, Raymond S, 1988. "Self-Selection Bias in the Evaluation of Voluntary Energy Conservation Programs," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 448-458, August.
    17. Ian Bateman & Georgina Mace & Carlo Fezzi & Giles Atkinson & Kerry Turner, 2011. "Economic Analysis for Ecosystem Service Assessments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(2), pages 177-218, February.
    18. 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)

    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. 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.
    2. Ying Han & Jianhua Shi & Yuanfan Yang & Yaxin Wang, 2019. "Direct Rebound Effect for Electricity Consumption of Urban Residents in China Based on the Spatial Spillover Effect," Energies, MDPI, vol. 12(11), pages 1-16, May.
    3. Pfaff, Matthias & Sartorius, Christian, 2015. "Economy-wide rebound effects for non-energetic raw materials," Ecological Economics, Elsevier, vol. 118(C), pages 132-139.
    4. Ghosh, Neal K. & Blackhurst, Michael F., 2014. "Energy savings and the rebound effect with multiple energy services and efficiency correlation," Ecological Economics, Elsevier, vol. 105(C), pages 55-66.
    5. Freire-González, Jaume, 2017. "Evidence of direct and indirect rebound effect in households in EU-27 countries," Energy Policy, Elsevier, vol. 102(C), pages 270-276.
    6. Ruzzenenti, Franco & Basosi, Riccardo, 2017. "Modelling the rebound effect with network theory: An insight into the European freight transport sector," Energy, Elsevier, vol. 118(C), pages 272-283.
    7. Yang, Lisha & Li, Zhi, 2017. "Technology advance and the carbon dioxide emission in China – Empirical research based on the rebound effect," Energy Policy, Elsevier, vol. 101(C), pages 150-161.
    8. Santarius, Tilman & Soland, Martin, 2018. "How Technological Efficiency Improvements Change Consumer Preferences: Towards a Psychological Theory of Rebound Effects," Ecological Economics, Elsevier, vol. 146(C), pages 414-424.
    9. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    10. Freire González, Jaume, 2010. "Empirical evidence of direct rebound effect in Catalonia," Energy Policy, Elsevier, vol. 38(5), pages 2309-2314, May.
    11. Martín Bordon Lesme & Jaume Freire-González & Emilio Padilla Rosa, 2020. "The Direct Rebound Effect of Electricity Energy Services in Spanish Households: Evidence from Error Correction Model and System GMM estimates," Working Papers wpdea2002, Department of Applied Economics at Universitat Autonoma of Barcelona.
    12. Freire-González, Jaume, 2011. "Methods to empirically estimate direct and indirect rebound effect of energy-saving technological changes in households," Ecological Modelling, Elsevier, vol. 223(1), pages 32-40.
    13. Freire-González, Jaume & Font Vivanco, David & Puig-Ventosa, Ignasi, 2017. "Economic structure and energy savings from energy efficiency in households," Ecological Economics, Elsevier, vol. 131(C), pages 12-20.
    14. Broberg, Thomas & Berg, Charlotte & Samakovlis, Eva, 2015. "The economy-wide rebound effect from improved energy efficiency in Swedish industries–A general equilibrium analysis," Energy Policy, Elsevier, vol. 83(C), pages 26-37.
    15. Font Vivanco, David & McDowall, Will & Freire-González, Jaume & Kemp, René & van der Voet, Ester, 2016. "The foundations of the environmental rebound effect and its contribution towards a general framework," Ecological Economics, Elsevier, vol. 125(C), pages 60-69.
    16. Freire-González, Jaume, 2017. "A new way to estimate the direct and indirect rebound effect and other rebound indicators," Energy, Elsevier, vol. 128(C), pages 394-402.
    17. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    18. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
    19. Liu, Jingru & Sun, Xin & Lu, Bin & Zhang, Yunkun & Sun, Rui, 2016. "The life cycle rebound effect of air-conditioner consumption in China," Applied Energy, Elsevier, vol. 184(C), pages 1026-1032.
    20. Alcott, Blake, 2008. "The sufficiency strategy: Would rich-world frugality lower environmental impact," Ecological Economics, Elsevier, vol. 64(4), pages 770-786, February.

    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:eee:ecolec:v:110:y:2015:i:c:p:61-70. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolecon .

    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.