Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)

Youth’s Willingness to Inherit and Revitalize Yingge Dance in Jieyang City: A Structural Equation Modeling Approach

Authors
Bin Zhang1, *, Tingting Li1, Haoyu Zhang1, Jinxiao Lin1
1Guangdong University of Technology, Guangzhou, China
*Corresponding author. Email: zhangbin1218@sina.com
Corresponding Author
Bin Zhang
Available Online 13 November 2024.
DOI
10.2991/978-94-6463-562-1_14How to use a DOI?
Keywords
Yingge Dance; intangible cultural heritage; Chaoshan region; structural equation modeling
Abstract

Yingge Dance, an integral part of the intangible cultural heritage of the Chaoshan region in Guangdong Province, plays a crucial role in reinforcing cultural confidence and promoting the sustainable development of human society. Along with the widespread influence of the “Xiaoshiqian” incident, the Yingge Dance has gained increasing recognition. Nevertheless, as a traditional folk dance, it faces a significant challenge due to insufficient inheritors and a lack of innovation. In this study, we aim to enhance public willingness to inherit and explore new paths for Yingge Dance development by investigating young people’s perceptions of its performance, inheritance, and the potential for innovative inheritance paths in Jieyang City. Using the Structural Equation Model (SEM) to analyze 700 valid questionnaires, we found that respondents possess a certain understanding of Yingge Dance, with the majority considering it an extraordinary piece of intangible cultural heritage with a favorable view of it. Despite the high inheritance willingness of Yingge Dance among the youth in Jieyang City, their willingness is influenced by various factors, such as time constraints, financial limitations, energy expenditure, and the attractiveness of cultural and creative products. To facilitate the inheritance of Yingge Dance effectively, it is imperative to address these challenges by offering more flexible schedules, financial support, appropriate training venues, and developing attractive cultural and creative products. The current level of cognitive awareness among young people in Jieyang City regarding Yingge Dance positively influences their willingness to inherit. Therefore, enhancing their understanding and awareness is essential to overcoming obstacles encountered in the inheritance process. The findings of this research have significant implications for the innovative inheritance of Yingge Dance.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
Series
Advances in Computer Science Research
Publication Date
13 November 2024
ISBN
978-94-6463-562-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-562-1_14How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Bin Zhang
AU  - Tingting Li
AU  - Haoyu Zhang
AU  - Jinxiao Lin
PY  - 2024
DA  - 2024/11/13
TI  - Youth’s Willingness to Inherit and Revitalize Yingge Dance in Jieyang City: A Structural Equation Modeling Approach
BT  - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
PB  - Atlantis Press
SP  - 143
EP  - 153
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-562-1_14
DO  - 10.2991/978-94-6463-562-1_14
ID  - Zhang2024
ER  -