IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i19p6286-d648780.html
   My bibliography  Save this article

Impact of Time-Use Behaviour on Residential Energy Consumption in the United Kingdom

Author

Listed:
  • Máté János Lőrincz

    (School of the Built Environment, University of Reading, Reading RG6 6UR, UK)

  • José Luis Ramírez-Mendiola

    (School of the Built Environment, University of Reading, Reading RG6 6UR, UK)

  • Jacopo Torriti

    (School of the Built Environment, University of Reading, Reading RG6 6UR, UK)

Abstract

In order to have the best possible chance of achieving ‘decent work’ and ‘climate action’ as laid forth in the UN Sustainable Development Goals, government and policy makers must pay close attention to current time-use patterns, as well as the way these might change in the near future. Here we contribute to the existing literature on time-use behaviour through a systematic exploration of the relationship between working patterns and energy consumption from the perspective of time-use. Our starting point is the premise that different work arrangements impact the timing of energy demand not only in workplaces, but also at home. Using the data from the 2014–2015 UK time-use survey, we were able to capture patterns of time-use behaviours and to assess their relationship with daily energy consumption. We propose a systematic time-use-based approach for estimating residential energy consumption with regards to activity timing, activity location, activity coordination, and appliance type. We use this method to discover patterns in residential activities and energy consumption, as well as the causal relationship between residential energy consumption and work patterns. In this study, we unpack the heterogeneity in the work–energy relationship, particularly when comparing full-time and part-time workers. Our results suggest that full-time employees have a higher potential to reduce their energy use compared to part-time employees. We also discover a non-linear change in total energy consumption for respondents with varying levels of work time. Energy consumption reductions associated with differences in work schedules are greatest during the first few hours of the workday, but then level off. Our findings suggests that time-use data can provide useful insights for evaluating and possibly designing energy and labour-market policies.

Suggested Citation

  • Máté János Lőrincz & José Luis Ramírez-Mendiola & Jacopo Torriti, 2021. "Impact of Time-Use Behaviour on Residential Energy Consumption in the United Kingdom," Energies, MDPI, vol. 14(19), pages 1-32, October.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6286-:d:648780
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/19/6286/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/19/6286/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Freeman, Richard B, 1978. "Job Satisfaction as an Economic Variable," American Economic Review, American Economic Association, vol. 68(2), pages 135-141, May.
    2. Brühl, Johanna & Smith, Grant & Visser, Martine, 2019. "Simple is good: Redesigning utility bills to reduce complexity and increase understanding," Utilities Policy, Elsevier, vol. 60(C), pages 1-1.
    3. Gershuny, Jonathan, 2005. "Busyness as the badge of honour for the new superordinate working class," ISER Working Paper Series 2005-09, Institute for Social and Economic Research.
    4. Torriti, Jacopo, 2012. "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy," Energy, Elsevier, vol. 44(1), pages 576-583.
    5. Stankovic, L. & Stankovic, V. & Liao, J. & Wilson, C., 2016. "Measuring the energy intensity of domestic activities from smart meter data," Applied Energy, Elsevier, vol. 183(C), pages 1565-1580.
    6. Xiufeng Liu & Yanyan Yang & Rongling Li & Per Sieverts Nielsen, 2019. "A Stochastic Model for Residential User Activity Simulation," Energies, MDPI, vol. 12(17), pages 1-17, August.
    7. Yilmaz, S. & Rinaldi, A. & Patel, M.K., 2020. "DSM interactions: What is the impact of appliance energy efficiency measures on the demand response (peak load management)?," Energy Policy, Elsevier, vol. 139(C).
    8. Druckman, Angela & Buck, Ian & Hayward, Bronwyn & Jackson, Tim, 2012. "Time, gender and carbon: A study of the carbon implications of British adults' use of time," Ecological Economics, Elsevier, vol. 84(C), pages 153-163.
    9. Carroll, James & Lyons, Seán & Denny, Eleanor, 2014. "Reducing household electricity demand through smart metering: The role of improved information about energy saving," Energy Economics, Elsevier, vol. 45(C), pages 234-243.
    10. Andrew Hook & Victor Court & Benjamin K Sovacool & Steven Sorrell, 2020. "A Systematic Review of the Energy and Climate Impacts of Teleworking," Working Papers hal-03192905, HAL.
    11. Ignace Glorieux & Ilse Laurijssen & Joeri Minnen & Theun Tienoven, 2010. "In Search of the Harried Leisure Class in Contemporary Society: Time-Use Surveys and Patterns of Leisure Time Consumption," Journal of Consumer Policy, Springer, vol. 33(2), pages 163-181, June.
    12. Laurent Lesnard, 2004. "Schedules as sequences: a new method to analyze the use of time based on collective rhythm with an application to the work arrangements of French dual-earner couples," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 1(1), pages 60-84, August.
    13. López-Rodríguez, M.A. & Santiago, I. & Trillo-Montero, D. & Torriti, J. & Moreno-Munoz, A., 2013. "Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption," Energy Policy, Elsevier, vol. 62(C), pages 742-751.
    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. Zhuofei Lu & Senhu Wang & Wendy Olsen, 2023. "Revisiting the ‘flexibility paradox’: degree of work schedule flexibility and time use patterns across gender and occupational groups," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    2. Liao, Tim F. & Bolano, Danilo & Brzinsky-Fay, Christian & Cornwell, Benjamin & Fasang, Anette Eva & Helske, Satu & Piccarreta, Raffaella & Raab, Marcel & Ritschard, Gilbert & Struffolino, Emanuela & S, 2022. "Sequence analysis: Its past, present, and future," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 107, pages 1-1.
    3. Pérez-Sánchez, Laura À. & Velasco-Fernández, Raúl & Giampietro, Mario, 2022. "Factors and actions for the sustainability of the residential sector. The nexus of energy, materials, space, and time use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).

    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. Yunusov, Timur & Torriti, Jacopo, 2021. "Distributional effects of Time of Use tariffs based on electricity demand and time use," Energy Policy, Elsevier, vol. 156(C).
    2. Laurent Lesnard & Thibaut Saint Pol, 2009. "Patterns of Workweek Schedules in France," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 93(1), pages 171-176, August.
    3. O'Garra, Tanya & Fouquet, Roger, 2022. "Willingness to reduce travel consumption to support a low-carbon transition beyond COVID-19," Ecological Economics, Elsevier, vol. 193(C).
    4. De Lauretis, Simona & Ghersi, Frédéric & Cayla, Jean-Michel, 2017. "Energy consumption and activity patterns: An analysis extended to total time and energy use for French households," Applied Energy, Elsevier, vol. 206(C), pages 634-648.
    5. Sarah M. Flood & Rachelle Hill & Katie R. Genadek, 2018. "Daily Temporal Pathways: A Latent Class Approach to Time Diary Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 117-142, January.
    6. Kang, Jieyi & Reiner, David M., 2022. "What is the effect of weather on household electricity consumption? Empirical evidence from Ireland," Energy Economics, Elsevier, vol. 111(C).
    7. Strong, Derek Ryan, 2017. "The Early Diffusion of Smart Meters in the US Electric Power Industry," Thesis Commons 7zprk, Center for Open Science.
    8. Shirley Pon, 2017. "The Effect of Information on TOU Electricity Use: an Irish residential study," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    9. Ignace Glorieux & Ilse Laurijssen & Joeri Minnen & Theun Tienoven, 2010. "In Search of the Harried Leisure Class in Contemporary Society: Time-Use Surveys and Patterns of Leisure Time Consumption," Journal of Consumer Policy, Springer, vol. 33(2), pages 163-181, June.
    10. Yang, Changhui & Meng, Chen & Zhou, Kaile, 2018. "Residential electricity pricing in China: The context of price-based demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2870-2878.
    11. Buckley, Penelope, 2020. "Prices, information and nudges for residential electricity conservation: A meta-analysis," Ecological Economics, Elsevier, vol. 172(C).
    12. Broberg, Thomas & Persson, Lars, 2016. "Is our everyday comfort for sale? Preferences for demand management on the electricity market," Energy Economics, Elsevier, vol. 54(C), pages 24-32.
    13. Gils, Hans Christian, 2014. "Assessment of the theoretical demand response potential in Europe," Energy, Elsevier, vol. 67(C), pages 1-18.
    14. Bernadeta Gołębiowska & Anna Bartczak & Wiktor Budziński, 2019. "Impact of social comparison on DSM in Poland," Working Papers 2019-10, Faculty of Economic Sciences, University of Warsaw.
    15. Jordehi, A. Rezaee, 2019. "Optimisation of demand response in electric power systems, a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 308-319.
    16. Paulo Aguiar Do Monte, 2011. "Job Dissatisfaction And Labour Turnover:Evidence From Brazil," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 135, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    17. McCausland, David & Pouliakas, Konstantinos & Theodossiou, Ioannis, 2005. "Some are Punished and Some are Rewarded: A Study of the Impact of Performance Pay on Job Satisfaction," MPRA Paper 14243, University Library of Munich, Germany.
    18. Frances McGinnity & Emma Calvert, 2008. "Yuppie Kvetch? Work-life Conflict and Social Class in Western Europe," Papers WP239, Economic and Social Research Institute (ESRI).
    19. Andrew E. Clark, 2018. "Four Decades of the Economics of Happiness: Where Next?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 245-269, June.
    20. Ünal, Berat Berkan & Onaygil, Sermin & Acuner, Ebru & Cin, Rabia, 2022. "Application of energy efficiency obligation scheme for electricity distribution companies in Turkey," Energy Policy, Elsevier, vol. 163(C).

    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:gam:jeners:v:14:y:2021:i:19:p:6286-:d:648780. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.