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中国沙漠 ›› 2025, Vol. 45 ›› Issue (6): 47-58.DOI: 10.7522/j.issn.1000-694X.2025.00035

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黄河流域生态旅游网络关注度时空演化特征与影响因素

周成1,2,3(), 任敏敏4, 邬超2, 靳轶婷3   

  1. 1.山西省社会科学院(山西省人民政府发展研究中心),山西 太原 030032
    2.山西工商学院 健康管理学院,山西 太原 030006
    3.山西财经大学 文化旅游与新闻艺术学院/黄河流域文化和旅游研究院,山西 太原 030006
    4.华东师范大学 经济与管理学院,上海 200062
  • 收稿日期:2025-03-03 修回日期:2025-03-29 出版日期:2025-11-20 发布日期:2025-11-26
  • 作者简介:周成(1989—),男,山西忻州人,博士(后),副教授,主要从事黄河流域经济地理、生态旅游研究。E-mail: zhoutravel@163.com
  • 基金资助:
    国家社会科学基金一般项目(23BGL166)

Spatiotemporal evolution characteristics and influencing factors of online attention to ecotourism in the Yellow River Basin

Cheng Zhou1,2,3(), Minmin Ren4, Chao Wu2, Yiting Jin3   

  1. 1.Shanxi Academy of Social Sciences (Shanxi People's Government Development Research Center),Taiyuan 030032,China
    2.School of Health Management,Shanxi Technology and Business University,Taiyuan 030006,China
    3.School of Culture,Tourism,Journalism and Art / Yellow River Basin Culture and Tourism Research Institute,Shanxi University of Finance and Economics,Taiyuan 030006,China
    4.School of Economics and Management,East China Normal University,Shanghai 200062,China
  • Received:2025-03-03 Revised:2025-03-29 Online:2025-11-20 Published:2025-11-26

摘要:

网络关注度反映了旅游目的地在数字空间的知名度和吸引力,可表征旅游目的地的市场受青睐程度。将网络关注度引入生态旅游研究领域,运用季节强度指数、地理集中指数、赫芬达尔指数、反距离权重插值以及面板向量自回归模型,考察了黄河流域2012—2023年生态旅游网络关注度的时空演化特征及其影响因素。结果表明:(1)黄河流域生态旅游网络关注度在研究期内呈波动上升态势,可细分为快速增长、波动调整和稳步回升等3个发展阶段,年内在3—6月、9—12月呈显著的“双峰型”季节波动特征。(2)网络关注度空间分布上经历了从适度集中向均衡发展的演化过程,在黄河流域表现出南北分异、多核集聚的复合型格局。(3)黄河流域生态旅游网络关注度时空差异由多种影响因素共同作用形成,其中交通通达度和数字化水平对其空间分异的解释程度较高。

关键词: 生态旅游, 网络关注度, 动态演化, 黄河流域

Abstract:

Online attention not only reflects the recognition and appeal of tourist destinations in digital space but also serves as a significant indicator of their market preference in actual tourism. This study incorporates online attention into ecotourism research, employing methodologies including time intensity index, geographical concentration, Herfindahl index, inverse distance weighted interpolation, and panel vector autoregression model to investigate the spatiotemporal dynamic evolution characteristics and influencing factors of ecotourism online attention in provinces of the Yellow River Basin from 2012 to 2023. The findings reveal that: (1) The online attention to ecotourism in the Yellow River Basin demonstrated an overall upward trend with fluctuations during the study period, characterized by three distinct phases: rapid growth, adjustment with fluctuations, and steady recovery, exhibiting bimodal seasonal patterns throughout the year. (2) The spatial distribution of ecotourism online attention evolved from relative concentration to progressive equilibrium, forming a composite pattern characterized by north-south differentiation and multi-nuclear agglomeration in the Yellow River Basin. (3) The spatiotemporal variations in ecotourism online attention in the Yellow River Basin result from multiple factors, with transport accessibility and digitalization level demonstrating substantial explanatory significance for spatial differentiation.

Key words: ecotourism, online attention, dynamic evolution, Yellow River Basin

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