IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v67y2024i4d10.1007_s00181-024-02593-0.html
   My bibliography  Save this article

Covid-19 lockdown, gender and income dynamics in household energy consumption: evidence from Japan

Author

Listed:
  • Shigeru Matsumoto

    (Aoyama Gakuin University)

  • Viet-Ngu Hoang

    (Queensland University of Technology
    Vietnam National University)

  • Clevo Wilson

    (Queensland University of Technology)

Abstract

Residential electricity consumption and time spent at home by household members increased while household income decreased during the COVID-19 pandemic restrictions. Using survey data of Japanese households purchasing electricity from the Tokyo Electric Power Company Holdings, before and during the pandemic, we examine the various dynamics at play involving income, increased time spent at home by both partners and the role of genders in energy consumption. Results show a positive relationship between changes in electricity consumption and changes in household income, suggesting that households reduced their electricity usage following a decrease in income. Interestingly, the results also show that consumption changes are positively correlated to changes in hours spent at home by working husbands but negatively correlated to changes in the hours spent at home by working wives.

Suggested Citation

  • Shigeru Matsumoto & Viet-Ngu Hoang & Clevo Wilson, 2024. "Covid-19 lockdown, gender and income dynamics in household energy consumption: evidence from Japan," Empirical Economics, Springer, vol. 67(4), pages 1473-1496, October.
  • Handle: RePEc:spr:empeco:v:67:y:2024:i:4:d:10.1007_s00181-024-02593-0
    DOI: 10.1007/s00181-024-02593-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00181-024-02593-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00181-024-02593-0?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. Belaïd, Fateh & Garcia, Thomas, 2016. "Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data," Energy Economics, Elsevier, vol. 57(C), pages 204-214.
    2. Jiang, Peng & Fan, Yee Van & Klemeš, Jiří Jaromír, 2021. "Impacts of COVID-19 on energy demand and consumption: Challenges, lessons and emerging opportunities," Applied Energy, Elsevier, vol. 285(C).
    3. Boris Kingma & Wouter van Marken Lichtenbelt, 2015. "Energy consumption in buildings and female thermal demand," Nature Climate Change, Nature, vol. 5(12), pages 1054-1056, December.
    4. Tjørring, Lise & Jensen, Carsten Lynge & Hansen, Lars Gårn & Andersen, Laura Mørch, 2018. "Increasing the flexibility of electricity consumption in private households: Does gender matter?," Energy Policy, Elsevier, vol. 118(C), pages 9-18.
    5. 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.
    6. Begoña Álvarez & Daniel Miles-Touya, 2019. "Gender imbalance in housework allocation: a question of time?," Review of Economics of the Household, Springer, vol. 17(4), pages 1257-1287, December.
    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. Lei, Mingyu & Cai, Wenjia & Liu, Wenling & Wang, Can, 2022. "The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China," Energy, Elsevier, vol. 253(C).
    2. Du, Feng & Yue, Hong & Zhang, Jiangfeng, 2023. "Influence of advertisement control to residential energy savings in large networks," Applied Energy, Elsevier, vol. 333(C).
    3. Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
    4. Xinkuo Xu & Liyan Han, 2017. "Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China," Sustainability, MDPI, vol. 9(9), pages 1-25, September.
    5. Gitelman, Lazar & Kozhevnikov, Mikhail & Ditenberg, Maksim, 2024. "Electrification as a factor in replacing hydrocarbon fuel," Energy, Elsevier, vol. 307(C).
    6. Huang, Liqiao & Long, Yin & Chen, Jundong & Yoshida, Yoshikuni, 2023. "Sustainable lifestyle: Urban household carbon footprint accounting and policy implications for lifestyle-based decarbonization," Energy Policy, Elsevier, vol. 181(C).
    7. Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
    8. Jiaxing Wang & Shigeru Matsumoto, 2022. "An economic model of home appliance replacement: application to refrigerator replacement among Japanese households," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(1), pages 29-48, January.
    9. Yuehong Qiu & Zeming Deng & Chujuan Jiang & Kaigong Wei & Lijun Zhu & Jieting Zhang & Can Jiao, 2022. "The Associations of Meteorological and Environmental Factors with Memory Function of the Older Age in Urban Areas," IJERPH, MDPI, vol. 19(9), pages 1-14, April.
    10. Ana Salomé García-Muñiz & María Rosalía Vicente, 2021. "The Effects of Informational Feedback on the Energy Consumption of Online Services: Some Evidence for the European Union," Energies, MDPI, vol. 14(10), pages 1-14, May.
    11. Michal Brzezinski, 2021. "The impact of past pandemics on CO$_2$ emissions and transition to renewable energy," Papers 2104.14199, arXiv.org.
    12. Sologon, Denisa Maria & Doorley, Karina & O'Donoghue, Cathal & Peluso, Eugenio, 2024. "The Gendered Nature of the Cost-of-Living Crisis in Europe," IZA Discussion Papers 16820, Institute of Labor Economics (IZA).
    13. Wang, Kai-Hua & Su, Chi-Wei & Lobonţ, Oana-Ramona & Umar, Muhammad, 2021. "Whether crude oil dependence and CO2 emissions influence military expenditure in net oil importing countries?," Energy Policy, Elsevier, vol. 153(C).
    14. Chaofeng Tang & Kentaka Aruga, 2021. "Effects of the 2008 Financial Crisis and COVID-19 Pandemic on the Dynamic Relationship between the Chinese and International Fossil Fuel Markets," JRFM, MDPI, vol. 14(5), pages 1-11, May.
    15. Belaïd, Fateh & Flambard, Véronique, 2023. "Boosting buildings energy efficiency: The impact of social norms and motivational feedback," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 26-39.
    16. Rafael de Arce & Ramón Mahía, 2019. "Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach," Energies, MDPI, vol. 12(11), pages 1-18, May.
    17. Shen, Meng & Li, Xiang & Lu, Yujie & Cui, Qingbin & Wei, Yi-Ming, 2021. "Personality-based normative feedback intervention for energy conservation," Energy Economics, Elsevier, vol. 104(C).
    18. 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).
    19. Liu, Bo & Luan, Wenpeng & Yu, Yixin, 2017. "Dynamic time warping based non-intrusive load transient identification," Applied Energy, Elsevier, vol. 195(C), pages 634-645.
    20. Manfred Lenzen & Robert A. Cummins, 2013. "Happiness versus the Environment—A Case Study of Australian Lifestyles," Challenges, MDPI, vol. 4(1), pages 1-19, May.

    More about this item

    Keywords

    Change in home hours; COVID-19; Household electricity consumption;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy

    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:spr:empeco:v:67:y:2024:i:4:d:10.1007_s00181-024-02593-0. 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.