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Religious Freedom "with Chinese Characteristics".

  • Published In: Chinese Journal of International Law, 2024, v. 23, n. 2. P. 263 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Earley, Brady 3 of 3

Abstract

China's approach to religious freedom is unique. Heavy State regulation and the involvement of the Chinese Communist Party often invite external critique of Chinese religious freedom based on legal commitments outside of China. However, China's rich legal tradition and textual commitments to religious freedom suggest there is more to learn. Analyzing religious freedom in legal texts and in practice from Chairman Mao Zedong to President Xi Jinping, this article offers a dialectic account of religious freedom with Chinese characteristics. Chinese text and practice regarding religious freedom suggest three enduring constitutional commitments: non-discrimination in religious belief, normalization of religious practices, and resistance to foreign religious influence. Each of these textual commitments correspond to the values found in Daoism, Legalism, and Confucianism—the pillars of traditional Chinese culture. With this understanding of China's religious freedom approach, the article then offers three implications for strengthening China's commitment to its own theory of religious freedom by (1) separating State and Party policy on religious registration, (2) removing cult designations from criminal law, and (3) accommodating non-traditional religious organizations to help address social issues. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Chinese Journal of International Law. 2024/06, Vol. 23, Issue 2, p263
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:1540-1650
  • DOI:10.1093/chinesejil/jmae020
  • Accession Number:178650486
  • Copyright Statement:Copyright of Chinese Journal of International Law is the property of Oxford University Press / USA 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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