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.

    References listed on IDEAS

    as
    1. Pothitou, Mary & Hanna, Richard F. & Chalvatzis, Konstantinos J., 2017. "ICT entertainment appliances’ impact on domestic electricity consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 843-853.
    2. Røpke, Inge & Haunstrup Christensen, Toke & Ole Jensen, Jesper, 2010. "Information and communication technologies - A new round of household electrification," Energy Policy, Elsevier, vol. 38(4), pages 1764-1773, April.
    3. Ohlan, Ramphul & Ohlan, Anshu, 2022. "A comprehensive bibliometric analysis and visualization of smart home research," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    4. Qu, Shen & Wang, Hongxia & Liang, Sai & Shapiro, Avi M. & Suh, Sanwong & Sheldon, Seth & Zik, Ory & Fang, Hong & Xu, Ming, 2017. "A Quasi-Input-Output model to improve the estimation of emission factors for purchased electricity from interconnected grids," Applied Energy, Elsevier, vol. 200(C), pages 249-259.
    5. Jo Thori Lind & Halvor Mehlum, 2010. "With or Without U? The Appropriate Test for a U‐Shaped Relationship," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 109-118, February.
    6. Marikyan, Davit & Papagiannidis, Savvas & Alamanos, Eleftherios, 2019. "A systematic review of the smart home literature: A user perspective," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 139-154.
    7. Yawen Han & Wanli Xing & Hongchang Hao & Xin Du & Chongyang Liu, 2022. "Interprovincial Metal and GHG Transfers Embodied in Electricity Transmission across China: Trends and Driving Factors," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    8. Bastida, Leire & Cohen, Jed J. & Kollmann, Andrea & Moya, Ana & Reichl, Johannes, 2019. "Exploring the role of ICT on household behavioural energy efficiency to mitigate global warming," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 455-462.
    9. Sovacool, Benjamin K. & Furszyfer Del Rio, Dylan D., 2020. "Smart home technologies in Europe: A critical review of concepts, benefits, risks and policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    10. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    11. Walzberg, Julien & Dandres, Thomas & Merveille, Nicolas & Cheriet, Mohamed & Samson, Réjean, 2020. "Should we fear the rebound effect in smart homes?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    12. Shin, Jungwoo & Park, Yuri & Lee, Daeho, 2018. "Who will be smart home users? An analysis of adoption and diffusion of smart homes," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 246-253.
    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. Birgul Basarir-Ozel & Hande Bahar Turker & Vesile Aslihan Nasir, 2022. "Identifying the Key Drivers and Barriers of Smart Home Adoption: A Thematic Analysis from the Business Perspective," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    2. Sovacool, Benjamin K. & Martiskainen, Mari & Furszyfer Del Rio, Dylan D., 2021. "Knowledge, energy sustainability, and vulnerability in the demographics of smart home technology diffusion," Energy Policy, Elsevier, vol. 153(C).
    3. Wang, Jen Chun, 2022. "Understanding the energy consumption of information and communications equipment: A case study of schools in Taiwan," Energy, Elsevier, vol. 249(C).
    4. Chen, Chien-fei & Nelson, Hannah & Xu, Xiaojing & Bonilla, Gregory & Jones, Nicholas, 2021. "Beyond technology adoption: Examining home energy management systems, energy burdens and climate change perceptions during COVID-19 pandemic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    5. Attour, Amel & Baudino, Marco & Krafft, Jackie & Lazaric, Nathalie, 2020. "Determinants of energy tracking application use at the city level: Evidence from France," Energy Policy, Elsevier, vol. 147(C).
    6. Pal, Debajyoti & Zhang, Xiangmin & Siyal, Saeed, 2021. "Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach," Technology in Society, Elsevier, vol. 66(C).
    7. Marta Gangolells & Miquel Casals & Marcel Macarulla & Núria Forcada, 2021. "Exploring the Potential of a Gamified Approach to Reduce Energy Use and Carbon Emissions in the Household Sector," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    8. Wei Gu & Peng Bao & Wenyuan Hao & Jaewoong Kim, 2019. "Empirical Examination of Intention to Continue to Use Smart Home Services," Sustainability, MDPI, vol. 11(19), pages 1-12, September.
    9. Wang, Lei & Chen, Yangyang & Ramsey, Thomas Stephen & Hewings, Geoffrey J.D., 2021. "Will researching digital technology really empower green development?," Technology in Society, Elsevier, vol. 66(C).
    10. Li, Wenda & Yigitcanlar, Tan & Liu, Aaron & Erol, Isil, 2022. "Mapping two decades of smart home research: A systematic scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    11. Ohlan, Ramphul & Ohlan, Anshu, 2022. "A comprehensive bibliometric analysis and visualization of smart home research," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    12. Amel Attour & Marco Baudino & Jackie Krafft & Nathalie Lazaric, 2020. "Determinants of smart energy tracking application use at the city level: Evidence from France," Post-Print hal-02942483, HAL.
    13. Pettifor, Hazel & Wilson, Charlie, 2020. "Low carbon innovations for mobility, food, homes and energy: A synthesis of consumer attributes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    14. Wenqing Zhang & Liangliang Liu, 2022. "How consumers’ adopting intentions towards eco-friendly smart home services are shaped? An extended technology acceptance model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(2), pages 307-330, April.
    15. Sovacool, Benjamin K. & Furszyfer Del Rio, Dylan D., 2020. "Smart home technologies in Europe: A critical review of concepts, benefits, risks and policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    16. Struckell, Elisabeth & Ojha, Divesh & Patel, Pankaj C. & Dhir, Amandeep, 2021. "Ecological determinants of smart home ecosystems: A coopetition framework," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    17. Ying Yu & Tung-Jung Sung, 2023. "A value-based view of the smart PSS adoption: a study of smart kitchen appliances," Service Business, Springer;Pan-Pacific Business Association, vol. 17(2), pages 499-527, June.
    18. Ferreira, Laura & Oliveira, Tiago & Neves, Catarina, 2023. "Consumer's intention to use and recommend smart home technologies: The role of environmental awareness," Energy, Elsevier, vol. 263(PC).
    19. Tu, Gengyang & Faure, Corinne & Schleich, Joachim & Guetlein, Marie-Charlotte, 2021. "The heat is off! The role of technology attributes and individual attitudes in the diffusion of Smart thermostats – findings from a multi-country survey," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    20. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(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: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.

    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: 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.