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干旱区地理 ›› 2025, Vol. 48 ›› Issue (6): 1089-1102.doi: 10.12118/j.issn.1000-6060.2024.504 cstr: 32274.14.ALG2024504

• 国土资源与旅游地理 • 上一篇    下一篇

黄河流域旅游生态韧性发展水平的时空演化及多尺度障碍因子分析

聂寒玉1(), 张颜辉2, 李慧3(), 郑姚闽4   

  1. 1.烟台科技学院管理学院,山东 烟台 264000
    2.北京工商大学商学院,北京 100000
    3.天津理工大学管理学院,天津 300384
    4.北京工商大学商学院,北京 100000
  • 收稿日期:2024-08-21 修回日期:2024-10-07 出版日期:2025-06-25 发布日期:2025-06-18
  • 通讯作者: 李慧(1977-),女,博士,教授,主要从事旅游营销等方面的研究. E-mail: lihuimarketing@163.com
  • 作者简介:聂寒玉(1996-),女,硕士研究生,主要从事旅游管理、经济地理等方面的研究. E-mail: niehanyu@yeah.net
  • 基金资助:
    教育部人文社会科学基金(22YJAZH045);国家自然科学基金面上项目(72374017);山东省艺术教育专项项目(L2023Y10200021)

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 Published:2025-06-25 Online:2025-06-18

摘要: 旅游生态韧性是衡量旅游目的地可持续发展能力的关键指标,提升旅游生态韧性对促进旅游业可持续发展至关重要。基于2000—2022年黄河流域9省(区)面板数据样本,利用熵权TOPSIS法、马尔科夫链、空间自相关模型分析该区域旅游生态韧性的时空演化特征,进一步运用障碍度模型分析影响旅游生态韧性提升的障碍因子。结果表明:(1) 2000—2022年黄河流域旅游生态韧性整体处于较低水平,呈波动性下降趋势。(2) 基本形成从下游到上游韧性逐渐递减的层级空间结构,各省(区)旅游生态韧性发展水平存在显著的空间正相关关系,空间聚集效应增强,主要表现为“高-高”集聚和“低-低”集聚特征。(3) 障准则层主要为恢复适应能力和创新进化能力,指标层主要为旅游要素聚集水平、水资源总量、旅游R&D经费、旅游发明专利授权量等。

关键词: 旅游生态系统, 旅游生态韧性, 时空演化, 障碍因子, 黄河流域

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