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  • Jul. 15, 2025

Arid Land Geography ›› 2025, Vol. 48 ›› Issue (6): 1089-1102.doi: 10.12118/j.issn.1000-6060.2024.504

• Territory Resources and Tourism Geography • Previous Articles     Next Articles

Spatio-temporal evolution and multi-scale barrier factor analysis of tourism ecological resilience in the Yellow River Basin

NIE Hanyu1(), ZHANG Yanhui2, LI Hui3(), ZHENG Yaomin4   

  1. 1. School of Management, Yantai Institute of Science and Technology, Yantai 264000, Shandong, China
    2. School of Business, Beijing Technology and Business University, Beijing 100000, China
    3. School of Management, Tianjin University of Technology, Tianjin 300384, China
    4. School of Business, Beijing Technology and Business University, Beijing 100000, China
  • Received:2024-08-21 Revised:2024-10-07 Online:2025-06-25 Published:2025-06-18
  • Contact: LI Hui E-mail:niehanyu@yeah.net;lihuimarketing@163.com

Abstract:

Tourism ecological resilience serves as a critical indicator for assessing sustainable development capacity in tourism destinations. This study analyzes the spatiotemporal evolution characteristics of tourism ecological resilience across nine provinces in the Yellow River Basin using panel data from 2000 to 2022. We employed the entropy weight TOPSIS method, Markov chain analysis, and spatial autocorrelation models to evaluate resilience patterns while identifying key obstacles through a barrier degree model. Our analysis revealed three principal findings: (1) Temporal evolution: Tourism ecological resilience in the Yellow River Basin maintained a consistently low level throughout the study period (2000—2022), characterized by a volatile downward trend. (2) Spatial distribution: A hierarchical spatial structure emerged, with resilience gradually declining from downstream to upstream regions. A significant positive spatial correlation exists between provincial resilience levels, with enhanced spatial agglomeration effects manifested primarily as “high-high” and “low-low” agglomeration patterns. (3) Obstacle factors: The most significant barriers to improved resilience were identified at two levels: Criterion layer, recovery adaptability and adaptability and innovation/evolution capabilities; and indicator layer, tourism factor aggregation level, total water resources, tourism R&D funding, and the number of tourism invention patent authorizations.

Key words: tourism ecosystem, tourism ecological resilience, spatiotemporal evolution, obstacle factor, Yellow River Basin