IDEAS home Printed from https://ideas.repec.org/a/kap/jcopol/v47y2024i2d10.1007_s10603-024-09561-2.html
   My bibliography  Save this article

Factors Influencing People’s Willingness to Shift Their Electricity Consumption

Author

Listed:
  • M. Hardmeier

    (Consumer Behavior)

  • A. Berthold

    (Consumer Behavior)

  • M. Siegrist

    (Consumer Behavior)

Abstract

As the share of renewable energy sources, which are weather dependent and consequently volatile, continues to grow, it becomes increasingly important to explore strategies for organising both electricity production and consumption to ensure system stability. People’s flexibility in their energy consumption is one option to regulate the system. To better understand people’s willingness to align their electricity-consuming activities with a flexible pricing system, an online survey with 962 respondents was conducted. The analysis focused on the factors influencing their willingness to shift electricity-consuming activities away from peak hours, as well as the maximum shift duration of using certain devices. The results indicate that people with more flexible lifestyles and those who perceive shifting activities as taking less effort are more willing to shift their activities and indicate longer shift durations. The data also show that attitudes towards the environment, as well as financial, ecological, and motivational factors, play a role in explaining the variance in the willingness to shift and the shift duration. To conclude, increasing flexibility in everyday life could make a valuable contribution to the optimal use of electricity resources.

Suggested Citation

  • M. Hardmeier & A. Berthold & M. Siegrist, 2024. "Factors Influencing People’s Willingness to Shift Their Electricity Consumption," Journal of Consumer Policy, Springer, vol. 47(2), pages 199-221, June.
  • Handle: RePEc:kap:jcopol:v:47:y:2024:i:2:d:10.1007_s10603-024-09561-2
    DOI: 10.1007/s10603-024-09561-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10603-024-09561-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10603-024-09561-2?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. Newsham, Guy R. & Bowker, Brent G., 2010. "The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review," Energy Policy, Elsevier, vol. 38(7), pages 3289-3296, July.
    2. Dupont, B. & Dietrich, K. & De Jonghe, C. & Ramos, A. & Belmans, R., 2014. "Impact of residential demand response on power system operation: A Belgian case study," Applied Energy, Elsevier, vol. 122(C), pages 1-10.
    3. Stelmach, Greg & Zanocco, Chad & Flora, June & Rajagopal, Ram & Boudet, Hilary S., 2020. "Exploring household energy rules and activities during peak demand to better determine potential responsiveness to time-of-use pricing," Energy Policy, Elsevier, vol. 144(C).
    4. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential consumption of gas and electricity in the U.S.: The role of prices and income," Energy Economics, Elsevier, vol. 33(5), pages 870-881, September.
    5. Heberlein, Thomas A. & Warriner, G. Keith, 1983. "The influence of price and attitude on shifting residential electricity consumption from on- to off-peak periods," Journal of Economic Psychology, Elsevier, vol. 4(1-2), pages 107-130, October.
    6. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    7. Finn, P. & O’Connell, M. & Fitzpatrick, C., 2013. "Demand side management of a domestic dishwasher: Wind energy gains, financial savings and peak-time load reduction," Applied Energy, Elsevier, vol. 101(C), pages 678-685.
    8. Sütterlin, Bernadette & Brunner, Thomas A. & Siegrist, Michael, 2011. "Who puts the most energy into energy conservation? A segmentation of energy consumers based on energy-related behavioral characteristics," Energy Policy, Elsevier, vol. 39(12), pages 8137-8152.
    9. Nilsson, Anders & Lazarevic, David & Brandt, Nils & Kordas, Olga, 2018. "Household responsiveness to residential demand response strategies: Results and policy implications from a Swedish field study," Energy Policy, Elsevier, vol. 122(C), pages 273-286.
    10. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential Consumption of Gas and Electricity in the U.S.: The Role of Prices and Income," Sustainable Development Papers 99637, Fondazione Eni Enrico Mattei (FEEM).
    11. Öhrlund, Isak & Schultzberg, Mårten & Bartusch, Cajsa, 2019. "Identifying and estimating the effects of a mandatory billing demand charge," Applied Energy, Elsevier, vol. 237(C), pages 885-895.
    12. Arias, Mariz B. & Kim, Myungchin & Bae, Sungwoo, 2017. "Prediction of electric vehicle charging-power demand in realistic urban traffic networks," Applied Energy, Elsevier, vol. 195(C), pages 738-753.
    13. Van Raaij, W. Fred & Verhallen, Theo M. M., 1983. "A behavioral model of residential energy use," Journal of Economic Psychology, Elsevier, vol. 3(1), pages 39-63.
    14. Baeten, Brecht & Rogiers, Frederik & Helsen, Lieve, 2017. "Reduction of heat pump induced peak electricity use and required generation capacity through thermal energy storage and demand response," Applied Energy, Elsevier, vol. 195(C), pages 184-195.
    15. Azarova, Valeriya & Cohen, Jed J. & Kollmann, Andrea & Reichl, Johannes, 2020. "Reducing household electricity consumption during evening peak demand times: Evidence from a field experiment," Munich Reprints in Economics 84731, University of Munich, Department of Economics.
    16. Torriti, Jacopo, 2020. "Temporal aggregation: Time use methodologies applied to residential electricity demand," Utilities Policy, Elsevier, vol. 64(C).
    17. Chad Zanocco & Tao Sun & Gregory Stelmach & June Flora & Ram Rajagopal & Hilary Boudet, 2022. "Assessing Californians’ awareness of their daily electricity use patterns," Nature Energy, Nature, vol. 7(12), pages 1191-1199, December.
    18. Katrin Schmietendorf & Joachim Peinke & Oliver Kamps, 2017. "The impact of turbulent renewable energy production on power grid stability and quality," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 90(11), pages 1-6, November.
    19. Goutam Dutta & Krishnendranath Mitra, 2017. "A literature review on dynamic pricing of electricity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1131-1145, October.
    20. Andersen, Frits Møller & Baldini, Mattia & Hansen, Lars Gårn & Jensen, Carsten Lynge, 2017. "Households’ hourly electricity consumption and peak demand in Denmark," Applied Energy, Elsevier, vol. 208(C), pages 607-619.
    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. Andersen, Frits Møller & Baldini, Mattia & Hansen, Lars Gårn & Jensen, Carsten Lynge, 2017. "Households’ hourly electricity consumption and peak demand in Denmark," Applied Energy, Elsevier, vol. 208(C), pages 607-619.
    2. Laurie Buys & Desley Vine & Gerard Ledwich & John Bell & Kerrie Mengersen & Peter Morris & Jim Lewis, 2015. "A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-20, March.
    3. 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).
    4. Alberini, Anna & Towe, Charles, 2015. "Information v. energy efficiency incentives: Evidence from residential electricity consumption in Maryland," Energy Economics, Elsevier, vol. 52(S1), pages 30-40.
    5. Kostakis, Ioannis & Lolos, Sarantis & Sardianou, Eleni, 2021. "Residential natural gas demand: Assessing the evidence from Greece using pseudo-panels, 2012–2019," Energy Economics, Elsevier, vol. 99(C).
    6. Schultz, P. Wesley & Estrada, Mica & Schmitt, Joseph & Sokoloski, Rebecca & Silva-Send, Nilmini, 2015. "Using in-home displays to provide smart meter feedback about household electricity consumption: A randomized control trial comparing kilowatts, cost, and social norms," Energy, Elsevier, vol. 90(P1), pages 351-358.
    7. Fullerton Jr., Thomas M. & Macias, David R. & Walke, Adam G., 2016. "Residential Electricity Demand in El Paso," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(2), December.
    8. Bradley, Peter & Coke, Alexia & Leach, Matthew, 2016. "Financial incentive approaches for reducing peak electricity demand, experience from pilot trials with a UK energy provider," Energy Policy, Elsevier, vol. 98(C), pages 108-120.
    9. Dorothee Charlier and Sondes Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    10. Fanny Henriet & Katheline Schubert, 2015. "Should we extract the European shale gas? The effect of climate and financial constraints," Documents de travail du Centre d'Economie de la Sorbonne 15050, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    11. Burke, Paul J. & Yang, Hewen, 2016. "The price and income elasticities of natural gas demand: International evidence," Energy Economics, Elsevier, vol. 59(C), pages 466-474.
    12. Liu, Shen & Colson, Gregory & Hao, Na & Wetzstein, Michael, 2018. "Toward an optimal household solar subsidy: A social-technical approach," Energy, Elsevier, vol. 147(C), pages 377-387.
    13. Gautam, Tej K. & Paudel, Krishna P., 2018. "The demand for natural gas in the Northeastern United States," Energy, Elsevier, vol. 158(C), pages 890-898.
    14. Fell, Harrison & Li, Shanjun & Paul, Anthony, 2014. "A new look at residential electricity demand using household expenditure data," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 37-47.
    15. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    16. Kuang, Yunming & Lin, Boqiang, 2021. "Performance of tiered pricing policy for residential natural gas in China: Does the income effect matter?," Applied Energy, Elsevier, vol. 304(C).
    17. Li, Lanlan & Luo, Xuan & Zhou, Kaile & Xu, Tingting, 2018. "Evaluation of increasing block pricing for households' natural gas: A case study of Beijing, China," Energy, Elsevier, vol. 157(C), pages 162-172.
    18. Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2020. "Policy cognition is more effective than step tariff in promoting electricity saving behaviour of residents," Energy Policy, Elsevier, vol. 139(C).
    19. Xiaojia Bao, 2016. "Water, Electricity and Weather Variability in Rural Northern China," Working Papers 2014-07-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    20. Yingbin Zhou & Siqi Lv & Jianlin Wang & Junbo Tong & Zhong Fang, 2022. "The Impact of Green Taxes on the Carbon Emission Efficiency of China’s Construction Industry," Sustainability, MDPI, vol. 14(9), pages 1-18, April.

    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:kap:jcopol:v:47:y:2024:i:2:d:10.1007_s10603-024-09561-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.