Getting licence or keeping consistent? The role of moral identity in subsequent pro‐environmental behaviours.

  • Published In: Asian Journal of Social Psychology, 2025, v. 28, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wang, Tao; Liu, Feifei; Xiong, Shasha; Wang, Kui 3 of 3

Abstract

Although a great deal of literature has focused on the drivers of pro‐environmental behaviours, the effects of past product choices on future pro‐environmental product choices have not yet been thoroughly investigated. This study explores how choosing a green product influences subsequent pro‐environmental product preference. Drawing on the self‐perception and moral licensing research, we find that past green product consumption can yield two conflicting mechanisms: environmental self‐perception (the green spillover effect) and perceived goal progress (the green licensing effect). Given these two conflicting mechanisms, past pro‐environmental product selection subsequently either reinforces or undermines subsequent pro‐environmental product purchase preference. This study finds that these effects are contingent on the pre‐existing moral identities of individual consumers. Among consumers with high moral identity internalization or low moral identity symbolization, pro‐environmental product purchase preference is reinforced, whereas consumers with low moral identity internalization or high moral identity symbolization show less preference for pro‐environmental products after prior green consumption. Overall, these findings provide new insight into pro‐environmental product consumption and moral identity. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Asian Journal of Social Psychology. 2025/03, Vol. 28, Issue 1, p1
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2025
  • ISSN:1367-2223
  • DOI:10.1111/ajsp.12670
  • Accession Number:183818664
  • Copyright Statement:Copyright of Asian Journal of Social Psychology is the property of Wiley-Blackwell 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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