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Debts of Gratitude in Cross‐Cultural Perspective: Confucian and Western Ethics.

  • Published In: Journal of Applied Philosophy, 2025, v. 42, n. 1. P. 131 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Tsai, George; Choo, Lok Chui 3 of 3

Abstract

This article examines the contrasting conceptions of gratitude in Early Confucian and Western philosophy. It focuses on a key difference: the presence of the notion of 'debts of gratitude' in Western thought and its absence in Confucianism. We explore how this difference is rooted in contrasting ethical outlooks and values. Western philosophy often conceives of gratitude as a duty of reciprocation, furthering the values of social equality and individual autonomy. By contrast, Early Confucians viewed gratitude as proper acknowledgement that strengthens social relationships that are part of an ongoing collective project, spanning generations. This view reflects the importance of values such as community, harmony, and ritual propriety in Confucianism. Unlike the Western context, in the Early Confucian social world, there was no role for 'debts of gratitude' to play. There were no Confucian values that 'debts of gratitude' would help to realize, or would be responsive to, in the way that debts of gratitude further the values of equality and independence in the West. We conclude by noting that some Western philosophers express ideas about gratitude in collaborative contexts that align with Confucian ideas, suggesting some shared elements between Confucian and Western ethical outlooks. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Applied Philosophy. 2025/02, Vol. 42, Issue 1, p131
  • Document Type:Article
  • Subject Area:Religion and Philosophy
  • Publication Date:2025
  • ISSN:0264-3758
  • DOI:10.1111/japp.12767
  • Accession Number:183977267
  • Copyright Statement:Copyright of Journal of Applied Philosophy 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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