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<p>Southeast Coastal China boasts abundant marine Intangible Cultural Heritage (ICH), yet quantitative assessments of its long-term driving mechanisms remain insufficient. This study analyzed 2372 ICH items(refined from 2384 records) via spatial models and Geodetector. Results indicate: (1) Spatiotemporally, provincial ICH centers of gravity show a fluctuating southward migration trend, with an average distance of 218 km. (2) Spatially, all categories of ICH displayed significant clustering (Nearest Neighbor Index: 0.29–0.68), presented to diverse dual-, triple-, and multi-core agglomeration patterns. (3) Mechanistically, human factors (<i>q</i> = 0.34) slightly outweigh natural factors (<i>q</i> = 0.32). Furthermore, interaction results exhibit bivariate or nonlinear enhancement, with the combined effect of the factors water system and GDP being the strongest. (<i>q</i> = 0.90). Theoretically, these findings reveal the underlying evolutionary patterns and multi-dimensional driving mechanisms of marine ICH. Practically, they provide a robust scientific basis for cross-regional collaborative governance and conservation strategies.</p>

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Mapping the spatiotemporal evolution and driving mechanisms of intangible cultural heritage in Southeast Coastal China

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月7日

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  • Yu-Xin Wei,
  • Hao Zheng,
  • Yi-Ze Chen,
  • Xiang-Yi Dong,
  • Na Yang,
  • Fei Tao,
  • Tong Zhou

摘要

Southeast Coastal China boasts abundant marine Intangible Cultural Heritage (ICH), yet quantitative assessments of its long-term driving mechanisms remain insufficient. This study analyzed 2372 ICH items(refined from 2384 records) via spatial models and Geodetector. Results indicate: (1) Spatiotemporally, provincial ICH centers of gravity show a fluctuating southward migration trend, with an average distance of 218 km. (2) Spatially, all categories of ICH displayed significant clustering (Nearest Neighbor Index: 0.29–0.68), presented to diverse dual-, triple-, and multi-core agglomeration patterns. (3) Mechanistically, human factors (q = 0.34) slightly outweigh natural factors (q = 0.32). Furthermore, interaction results exhibit bivariate or nonlinear enhancement, with the combined effect of the factors water system and GDP being the strongest. (q = 0.90). Theoretically, these findings reveal the underlying evolutionary patterns and multi-dimensional driving mechanisms of marine ICH. Practically, they provide a robust scientific basis for cross-regional collaborative governance and conservation strategies.