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Spatial-Temporal Distribution Pattern and Tourism Utilization Potential of Intangible Cultural Heritage Resources in the Yellow River Basin

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Listed:
  • Bianrong Chang

    (College of Humanities, Tianjin Agricultural University, Tianjin 300384, China)

  • Xinjun Ding

    (College of Humanities, Tianjin Agricultural University, Tianjin 300384, China)

  • Jianchao Xi

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, China)

  • Ruiying Zhang

    (College of Humanities, Tianjin Agricultural University, Tianjin 300384, China
    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, China)

  • Xianhong Lv

    (College of Humanities, Tianjin Agricultural University, Tianjin 300384, China
    Faculty of Applied Economics, University of Chinese Academy of Social Sciences (UCASS), Beijing 102488, China)

Abstract

In this study, the spatial-temporal distribution pattern and tourism utilization potential of national ICH are analyzed based on GIS technology in the Yellow River Basin. The results show that: (1) The national ICH of the Yellow River Basin is distributed in an aggregated spatial pattern with the characteristic of “one belt and two cores”. The cities in Shanxi, Henan and Shandong provinces constitute the high-density and sub-high-density continuous belts. Haidong and Chengdu are the high-density and sub-high-density core areas, respectively. (2) The five batches of national ICH present a temporal distribution pattern of “Northeast to Southwest”. The distribution scope of national ICH in medium and high-density areas expands gradually and finally tends to be balanced. (3) For the single-factor evaluation of tourism utilization potential, there is an obvious gap in the evaluation grade among the cities. However, for the comprehensive evaluation of tourism utilization potential, there are 72 cities with an evaluation grade of three or above, accounting for 63%. This indicates that the tourism utilization potential of the national ICH in this basin is great. (4) The national ICH tourism in this basin can be developed from two aspects: regional differential development and regional linkage development.

Suggested Citation

  • Bianrong Chang & Xinjun Ding & Jianchao Xi & Ruiying Zhang & Xianhong Lv, 2023. "Spatial-Temporal Distribution Pattern and Tourism Utilization Potential of Intangible Cultural Heritage Resources in the Yellow River Basin," Sustainability, MDPI, vol. 15(3), pages 1-25, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2611-:d:1054054
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    References listed on IDEAS

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    1. Lin Meng & Chuanguang Zhu & Jie Pu & Bo Wen & Wentao Si, 2022. "Study on the Influence Mechanism of Intangible Cultural Heritage Distribution from Man–Land Relationship Perspective: A Case Study in Shandong Province," Land, MDPI, vol. 11(8), pages 1-18, August.
    2. Stefania Skowron-Markowska & Marta Nowakowska, 2021. "Chinese Destinations Related to Martial Arts Tourism from the UNESCO Perspective," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    3. Yang, Chih-Hai & Lin, Hui-Lin & Han, Chia-Chun, 2010. "Analysis of international tourist arrivals in China: The role of World Heritage Sites," Tourism Management, Elsevier, vol. 31(6), pages 827-837.
    4. Chuanchuan Yuan & Li Gan & Huili Zhuo, 2022. "Coupling Mechanisms and Development Patterns of Revitalizing Intangible Cultural Heritage by Integrating Cultural Tourism: The Case of Hunan Province, China," Sustainability, MDPI, vol. 14(12), pages 1-16, June.
    5. Zhongwu Zhang & Qi Li & Shixiong Hu, 2022. "Intangible Cultural Heritage in the Yellow River Basin: Its Spatial–Temporal Distribution Characteristics and Differentiation Causes," Sustainability, MDPI, vol. 14(17), pages 1-17, September.
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    2. Zhiqiang Cai & Keke Cai & Tao Huang & Ge Zhang & Ruixi Chen, 2024. "Spatial Distribution Characteristics and Sustainable Inheritance Strategies of National Traditional Fine Arts Intangible Cultural Heritage in China," Sustainability, MDPI, vol. 16(11), pages 1-27, May.
    3. Mi Yan & Qingmiao Li & Yan Song, 2024. "Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector," Land, MDPI, vol. 13(6), pages 1-23, May.
    4. Hechi Wang & Xinxin Chen & Jianwei Ge & Zhaoyi Yan & Xinyi He & Yingqiu Song & Qi Zhou, 2023. "Research on the Spatiotemporal Distribution and Cultural Tourism Strategy of Modern Educational Architectural Heritage in Nanjing," Sustainability, MDPI, vol. 15(19), pages 1-24, September.

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