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Spatial Distribution Characteristics and Influencing Factors of Intangible Cultural Heritage in the Yunnan, Guangxi, and Guizhou Rocky Desertification Area

Author

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  • Lixin Wu

    (School of Journalism and Communication, Zhengzhou University, Zhengzhou 450001, China)

  • Guanglei Yang

    (School of Architecture and Art, Central South University, Changsha 410075, China)

  • Xiaowei Chen

    (School of Journalism and Communication, Zhengzhou University, Zhengzhou 450001, China)

Abstract

The Yunnan, Guangxi, and Guizhou rocky desertification area is characterized by a fragile ecological environment, along with the inhabitation of many ethnic minorities, making it the region with the most poverty-alleviation targets among the 14 concentrated poverty-stricken areas in China. However, this area has obvious cultural resources, but it lacks systematic study. Therefore, integral investigation and research which can promote the sustainable development with abundant culture resource should pay more attention to it. This study, with 1113 national and provincial intangible cultural heritage projects in this area as research objects, used ArcGIS to visualize their geographic data for research. Geodetector was used to quantify the influence of relevant factors and analyze the distribution characteristics and influencing factors of intangible cultural heritage in this region. By providing a correlative strategy, the aim is to promote the coordinated development of the regional cultural economy. The results are as follows: (1) Guizhou exhibits the highest distribution of intangible cultural heritage projects, followed by Guangxi and Yunnan, indicating an uneven number of intangible cultural heritage projects. (2) A spatial analysis shows the clustered spatial distribution of intangible cultural heritage projects in this area, forming a high-density core area and multiple sub high-density areas with high spatial autocorrelation. (3) The spatial distribution of intangible cultural heritage in the rocky desertification areas of Yunnan, Guangxi, and Guizhou is generally correlated with survival orientation and natural environmental factors and positively correlated with development orientation and social, economic, ethnic, and cultural factors. Among many factors, cultural environment quantity exhibits the strongest correlation with the spatial distribution of intangible cultural heritage. (4) Based on the degree of correlation with different influencing factors, four development strategies are proposed: digitization of intangible cultural heritage inheritance and development, multi-media intangible cultural heritage creation and dissemination, innovative construction of intangible cultural heritage exhibitions, and tourism-driven dynamic inheritance of intangible cultural heritage.

Suggested Citation

  • Lixin Wu & Guanglei Yang & Xiaowei Chen, 2024. "Spatial Distribution Characteristics and Influencing Factors of Intangible Cultural Heritage in the Yunnan, Guangxi, and Guizhou Rocky Desertification Area," Sustainability, MDPI, vol. 16(11), pages 1-25, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4722-:d:1407147
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    References listed on IDEAS

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    1. Liu Jin & Zongqi Wang & Xiaohong Chen, 2022. "Spatial Distribution Characteristics and Influencing Factors of Traditional Villages on the Tibetan Plateau in China," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    2. Jiaojiao Bian & Wanxu Chen & Jie Zeng, 2022. "Spatial Distribution Characteristics and Influencing Factors of Traditional Villages in China," IJERPH, MDPI, vol. 19(8), pages 1-18, April.
    3. Vinko Muštra & Blanka Škrabić Perić & Smiljana Pivčević, 2023. "Cultural heritage sites, tourism and regional economic resilience," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 465-482, June.
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    1. Yu Chen & Jingwen Zhao & Xinyi Zhao & Zeyi Wang & Zhe Xu & Shilin Li & Weishang Liu, 2025. "Study on the Spatial Distribution Characteristics and Influencing Factors of Intangible Cultural Heritage Along the Great Wall of Hebei Province," Sustainability, MDPI, vol. 17(15), pages 1-25, July.

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