JOURNAL ARTICLE

How religiosity and spirituality influences the ecologically conscious consumer psychology of Christians, the non-religious, and atheists in the United States.

  • Published In: Archive for the Psychology of Religion / Archiv für Religionspsychologie, 2024, v. 46, n. 1. P. 71 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Muralidharan, Sidharth; La Ferle, Carrie; Roth-Cohen, Osnat 3 of 3

Abstract

This article examines how religiosity and spirituality influence ecologically conscious consumer behavior (ECCB) among Christians, the non-religious, and atheists in the United States, focusing on the mediating roles of environmental values (egoistic, altruistic-biospheric) and issue involvement with global warming. Findings indicate that for Christians, both religiosity and spirituality positively affect ECCB through environmental values and issue involvement, with religiosity linked more to egoistic values and spirituality to altruistic-biospheric values. Among the non-religious and atheists, spirituality—but not religiosity—significantly promotes ECCB, primarily mediated by egoistic values and issue involvement, highlighting a spiritual connection with nature as a key motivator regardless of religious affiliation. The study suggests tailored environmental messaging that considers these belief systems and values to effectively encourage pro-environmental consumer behavior.

Additional Information

  • Source:Archive for the Psychology of Religion / Archiv für Religionspsychologie. 2024/03, Vol. 46, Issue 1, p71
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2024
  • ISSN:0084-6724
  • DOI:10.1177/00846724231225674
  • Accession Number:175572237
  • Copyright Statement:Copyright of Archive for the Psychology of Religion / Archiv für Religionspsychologie is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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