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干旱区地理 ›› 2026, Vol. 49 ›› Issue (2): 245-254.doi: 10.12118/j.issn.1000-6060.2024.772 cstr: 32274.14.ALG2024772

• 新质生产力赋能旅游高质量发展 • 上一篇    下一篇

黄河流域旅游生态安全的演化特征和影响因素分析——基于社会网络分析视角

魏丽蓉1(), 程占红1(), 石烨2, 张玉尧2, 王紫彦1, 牛莉芹2   

  1. 1.山西财经大学文化旅游与新闻艺术学院,山西 太原 030006
    2.山西财经大学资源环境学院,山西 太原 030006
  • 收稿日期:2024-12-17 修回日期:2025-02-16 出版日期:2026-02-25 发布日期:2026-02-27
  • 通讯作者: 程占红(1972-),男,博士,教授,主要从事旅游生态研究. E-mail: chengzhanhong@163.com
  • 作者简介:魏丽蓉(1997-),女,博士研究生,主要从事旅游生态研究. E-mail: wlr2297091258@163.com
  • 基金资助:
    山西省科技战略研究专项(202404030401151);山西省哲学社会科学规划课题(2023YJ082)

Evolution characteristics and influencing factors of tourism ecological security in the Yellow River Basin: Based on social network analysis

WEI Lirong1(), CHENG Zhanhong1(), SHI Ye2, ZHANG Yuyao2, WANG Ziyan1, NIU Liqin2   

  1. 1. College of Cultural Tourism and Journalism and Art, Shanxi University of Finance and Economics, Taiyuan 030006, Shanxi, China
    2. College of Resources and Environment, Shanxi University of Finance and Economics, Taiyuan 030006, Shanxi, China
  • Received:2024-12-17 Revised:2025-02-16 Published:2026-02-25 Online:2026-02-27

摘要:

深入剖析黄河流域旅游生态安全的空间关联网络结构与影响因素,对于平衡经济效益与生态约束,促进地区可持续发展具有重要意义。基于2009—2022年黄河流域省际面板数据,综合运用熵值法、修正引力模型、社会网络分析法和二次指派程序回归,确定指标权重,构建关联矩阵,解析9省区旅游生态安全的空间关联特征,定位驱动网络演变的关键要素。结果表明:(1) 黄河流域9省区旅游生态安全表现出显著的跨行政区划特征,区域间依存度呈现持续增强趋势。(2) 流域内旅游生态安全网络存在明显的空间异质性,核心节点缺位导致区域集聚效应与联动发展不足。(3) 不同省区的板块归属不同,决定了其在空间关联网络中功能与地位的不同。(4) 地区生产总值、人均旅游消费、第三产业增加值、废水排放量和固体废弃物利用率构成了黄河流域旅游生态安全的主要影响因素。基于社会网络分析视角,分别从整体和局部2方面揭示黄河流域旅游生态安全的空间网络结构特征,剖析关键影响因素,为黄河流域旅游生态安全的可持续发展提供新的理论视角。

关键词: 旅游生态安全, 社会网络分析, 影响因素, 黄河流域

Abstract:

A thorough analysis of the spatial correlation network structure and influencing factors of tourism ecological security in the Yellow River Basin is essential for balancing economic benefits with ecological constraints and promoting regional sustainable development. Using inter-provincial panel data from the Yellow River Basin spanning 2009 to 2022, this study employed the entropy method, a modified gravity model, social network analysis, and quadratic assignment procedure (QAP) regression to examine the spatial correlation network of tourism ecological security and identify key influencing factors. The results reveal the following: (1) Tourism ecological security across the basin’s nine provinces exhibits significant cross-administrative characteristics, with inter-regional dependence steadily increasing. (2) The network displays pronounced spatial heterogeneity; the absence of dominant core nodes results in insufficient agglomeration effects and limited linkage development. (3) Differences in provincial plate ownership determine distinct roles and positions within the spatial correlation network. (4) Regional GDP, per capita tourism consumption, tertiary industry added value, wastewater discharge, and solid waste utilization rate emerge as the primary influencing factors. From a social network analysis perspective, this study elucidates the overall and local characteristics of the tourism ecological security spatial network in the Yellow River Basin and identifies critical drivers. These findings offer a novel theoretical framework to support the sustainable and healthy development of the region.

Key words: tourism ecological security, social network analysis, influencing factor, the Yellow River Basin