IDEAS home Printed from https://ideas.repec.org/p/fae/wpaper/2018.20.html
   My bibliography  Save this paper

Time Rebound Effect in Households’ Energy Use: Theory and Evidence

Author

Listed:
  • Kenichi Mizobuchi

    (Matsuyama University)

  • Hiroaki Yamagami

    (Seikei University)

Abstract

Time-saving (time-efficient) goods and services are increasingly developed and diffused. Such goods and services increase the disposable time for households, and the time saved may be allocated to other activities consuming energy/electricity. The present study sets a simple theoretical model and shows a mechanism, called the time rebound effect, with which time-saving goods increase energy consumption through household behaviors. Furthermore, we reveal empirical evidence for this model by conducting a Japanese household survey. In particular, our analysis shows that the time rebound effect occurs on using the dishwasher, clothes dryer, or a net ordering/delivery service. However, its impact is very small: the extra electricity usage is about 1.4% of the daily usage at most.

Suggested Citation

  • Kenichi Mizobuchi & Hiroaki Yamagami, 2018. "Time Rebound Effect in Households’ Energy Use: Theory and Evidence," Working Papers 2018.20, FAERE - French Association of Environmental and Resource Economists.
  • Handle: RePEc:fae:wpaper:2018.20
    as

    Download full text from publisher

    File URL: http://faere.fr/pub/WorkingPapers/Mizobuchi_Yamagami_FAERE_WP2018.20.pdf
    File Function: First version, 2018
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Reuben Gronau & Daniel S. Hamermesh, 2008. "The Demand for Variety: A Household Production Perspective," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 562-572, August.
    2. Hamermesh, Daniel S., 2007. "AJAE Appendix: Time to Eat: Household Production Under Increasing Income Inequality," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 89(4), pages 1-8, November.
    3. Brencic, Vera & Young, Denise, 2009. "Time-saving innovations, time allocation, and energy use: Evidence from Canadian households," Ecological Economics, Elsevier, vol. 68(11), pages 2859-2867, September.
    4. Mizobuchi, Kenichi, 2008. "An empirical study on the rebound effect considering capital costs," Energy Economics, Elsevier, vol. 30(5), pages 2486-2516, September.
    5. Mark Aguiar & Erik Hurst, 2007. "Measuring Trends in Leisure: The Allocation of Time Over Five Decades," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 969-1006.
    6. 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.
    7. 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.
    8. 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. Du, Qiang & Han, Xiao & Li, Yi & Li, Zhe & Xia, Bo & Guo, Xiqian, 2021. "The energy rebound effect of residential buildings: Evidence from urban and rural areas in China," Energy Policy, Elsevier, vol. 153(C).
    2. Karen Turner, 2013. ""Rebound" Effects from Increased Energy Efficiency: A Time to Pause and Reflect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    3. 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.
    4. Wang, H. & Zhou, P. & Zhou, D.Q., 2012. "An empirical study of direct rebound effect for passenger transport in urban China," Energy Economics, Elsevier, vol. 34(2), pages 452-460.
    5. 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.
    6. Halvorsen, Bente & Larsen, Bodil Merethe, 2021. "Identifying drivers for the direct rebound when energy efficiency is unknown. The importance of substitution and scale effects," Energy, Elsevier, vol. 222(C).
    7. Toroghi, Shahaboddin H. & Oliver, Matthew E., 2019. "Framework for estimation of the direct rebound effect for residential photovoltaic systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    8. 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.
    9. Wang, Jiayu & Yu, Shuao & Liu, Tiansen, 2021. "A theoretical analysis of the direct rebound effect caused by energy efficiency improvement of private consumers," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 171-181.
    10. Manuel Frondel & Colin Vance, 2018. "Drivers’ response to fuel taxes and efficiency standards: evidence from Germany," Transportation, Springer, vol. 45(3), pages 989-1001, May.
    11. Fullerton, Don & Ta, Chi L., 2020. "Costs of energy efficiency mandates can reverse the sign of rebound," Journal of Public Economics, Elsevier, vol. 188(C).
    12. Belaïd, Fateh & Youssef, Adel Ben & Lazaric, Nathalie, 2020. "Scrutinizing the direct rebound effect for French households using quantile regression and data from an original survey," Ecological Economics, Elsevier, vol. 176(C).
    13. Wang, Zhaohua & Lu, Milin & Wang, Jian-Cai, 2014. "Direct rebound effect on urban residential electricity use: An empirical study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 124-132.
    14. Brencic, Vera & Young, Denise, 2009. "Time-saving innovations, time allocation, and energy use: Evidence from Canadian households," Ecological Economics, Elsevier, vol. 68(11), pages 2859-2867, September.
    15. Kenichi Mizobuchi & Kenji Takeuchi, 2019. "Rebound effect across seasons: evidence from the replacement of air conditioners in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(1), pages 123-140, January.
    16. Matthew E. Oliver & Juan Moreno-Cruz & Ross C. Beppler, 2019. "Microeconomics of the rebound effect for residential solar photovoltaic systems," CESifo Working Paper Series 7635, CESifo.
    17. Estrella Trincado & Antonio Sánchez-Bayón & José María Vindel, 2021. "The European Union Green Deal: Clean Energy Wellbeing Opportunities and the Risk of the Jevons Paradox," Energies, MDPI, vol. 14(14), pages 1-23, July.
    18. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    19. repec:hal:wpspec:info:hdl:2441/8651 is not listed on IDEAS
    20. De Borger, Bruno & Mulalic, Ismir & Rouwendal, Jan, 2016. "Measuring the rebound effect with micro data: A first difference approach," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 1-17.
    21. Chitnis, Mona & Sorrell, Steve & Druckman, Angela & Firth, Steven K. & Jackson, Tim, 2014. "Who rebounds most? Estimating direct and indirect rebound effects for different UK socioeconomic groups," Ecological Economics, Elsevier, vol. 106(C), pages 12-32.

    More about this item

    Keywords

    Time rebound effect; Households; Electricity consumption; Time allocation; Energy;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

    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:fae:wpaper:2018.20. 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: Dorothée Charlier (email available below). General contact details of provider: https://edirc.repec.org/data/faereea.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.