IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v145y2025ics0140988325002324.html
   My bibliography  Save this article

Exploring sustainable energy consumption practices: An extended environmental value-belief-norm framework using SEM analysis

Author

Listed:
  • Kumar, Vikas
  • Kaur, Amanpreet
  • Cao, Dongmei
  • Sindhwani, Rahul
  • Mathiyazhagan, K.
  • Lin, Boqiang

Abstract

With increasing global emphasis on sustainable energy development and the transition to a low-carbon economy, understanding the drivers behind consumer adoption of eco-friendly products is crucial. This paper attempts to respond to this need by analyzing the economic implications of sustainable energy consumption habits. Utilizing an extended environmental Value-Belief-Norm (VBN) model, the research examines how values, beliefs, and a sense of obligation influence consumers' Willingness to Pay More (WTPM) for eco-friendly home products, Word-Of-Mouth intention (WOM) and sustainable consumption behaviors. The study employs survey data from 517 participants across India, analyzed through structural equation modeling (SEM) and complemented by insights from semi-structured interviews. The findings suggest that the biospheric, altruistic, and egoistic values subsequently create an ecological worldview in consumers. Ecological worldviews, in turn, impact consequences such as consumers' responsibility and subsequent behaviors, including WOM and WTPM, and the adoption of eco-friendly products. The study refines the VBN model and identifies key motivators and barriers to sustainable consumption. It guides policymakers and businesses to promote eco-friendly practices by highlighting the benefits of sustainable products and leveraging advanced technology to create eco-friendly home solutions.

Suggested Citation

  • Kumar, Vikas & Kaur, Amanpreet & Cao, Dongmei & Sindhwani, Rahul & Mathiyazhagan, K. & Lin, Boqiang, 2025. "Exploring sustainable energy consumption practices: An extended environmental value-belief-norm framework using SEM analysis," Energy Economics, Elsevier, vol. 145(C).
  • Handle: RePEc:eee:eneeco:v:145:y:2025:i:c:s0140988325002324
    DOI: 10.1016/j.eneco.2025.108408
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988325002324
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2025.108408?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:eneeco:v:145:y:2025:i:c:s0140988325002324. 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.elsevier.com/locate/eneco .

    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.