IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v289y2024ics036054422303284x.html
   My bibliography  Save this article

Does smart home adoption reduce household electricity-related CO2 emissions? ——Evidence from Hangzhou city, China

Author

Listed:
  • Han, Yawen
  • Du, Xin
  • Zhang, Hengming
  • Ni, Jinfeng
  • Fan, Fengyan

Abstract

Digital technology has enabled the emergence of smart homes, which promise to provide occupants with a high-quality life while being environmentally friendly. However, occupants’ demand for “comfort” and “convenience” may contradict the purpose of minimizing the carbon footprint of smart homes. Investigating whether smart home adoption can reduce carbon emissions and promote carbon neutrality from a consumer perspective is therefore essential. In this study, 359 valid responses were collected from Hangzhou, a Chinese megacity, as basic data. We established a smart home adoption evaluation index system that enabled us to empirically examine the trend of household electricity-related CO2 emissions with the change in smart home adoption level. We found an inverted U-shaped relationship between the smart home adoption level and household electricity-related CO2 emissions. Smart home adoption causes more CO2 emissions in the initial stage, but reaches a tipping point where higher levels of smart home adoption leads to widespread use of energy-saving smart features and subsequently fewer emissions. Furthermore, this study confirmed the moderating effect of the internet divide on the relationship between smart home adoption and electricity-related CO2 emissions; the results indicate that improving internet accessibility and utilization promotes the commitment to reducing CO2 emissions in smart homes.

Suggested Citation

  • Han, Yawen & Du, Xin & Zhang, Hengming & Ni, Jinfeng & Fan, Fengyan, 2024. "Does smart home adoption reduce household electricity-related CO2 emissions? ——Evidence from Hangzhou city, China," Energy, Elsevier, vol. 289(C).
  • Handle: RePEc:eee:energy:v:289:y:2024:i:c:s036054422303284x
    DOI: 10.1016/j.energy.2023.129890
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422303284X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.129890?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.

    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:energy:v:289:y:2024:i:c:s036054422303284x. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.journals.elsevier.com/energy .

    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.