JOURNAL ARTICLE

Yangge: Cultural Identity of Native Drama in the Context of Modern China.

  • Published In: International Journal of Critical Cultural Studies, 2024, v. 22, n. 2. P. 93 1 of 3

  • Database: Humanities Source Ultimate 2 of 3

  • Authored By: Kai Wang; Moonsuwan, Thanyalak 3 of 3

Abstract

This qualitative research project investigates the Yangge cultural performance and its unique cultural identity in the context of modern China. The two primary objectives of this study are: (1) to examine the history and evolution of Yangge in Chinese society and (2) to analyze its cultural identity within the modern Chinese milieu. The study finds that Yangge, a folk drama predominantly found in northern China, traces its origins back to songs sung by farmers during their agricultural activities. Over time, these practices have transitioned from mere singing to encompass dance and drama forms, evolving in accordance with the era and reflecting the historical developments of traditional folk dances in modern China. Three distinct identities and cultural facets of Yangge are identified: (1) the music accompanying working life, (2) independent folk songs and dances formed over time, often featured during traditional folk festivals and harvest celebrations, and (3) diversified forms of singing and dancing, transitioning into a formal cultural production. In summary, Yangge mirrors the geography, culture, politics, economy, and customs of China and serves an important purpose in the maintenance of cultural identity, despite ongoing challenges to its preservation. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Critical Cultural Studies. 2024/12, Vol. 22, Issue 2, p93
  • Document Type:Article
  • Subject Area:Drama and Theater Arts
  • Publication Date:2024
  • ISSN:23270055
  • DOI:10.18848/2327-0055/CGP/v22i02/93-113
  • Accession Number:181719140
  • Copyright Statement:Copyright of International Journal of Critical Cultural Studies is the property of Common Ground Research Networks 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.