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长三角城市群旅游生态韧性空间关联网络及其驱动因素
摘要点击 568  全文点击 11  投稿时间:2025-07-03  修订日期:2025-09-28
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中文关键词  旅游生态系统  旅游生态韧性  空间关联网络  空间异质性  空间溢出效应  门槛效应
英文关键词  tourism ecosystem  tourism ecological resilience  spatial correlation network  spatial heterogeneity  spatial spillover effect  threshold effect
DOI  10.13227/j.hjkx.202507030
作者单位E-mail
郑金辉 浙江工业大学经济学院, 杭州 310023
浙江工业大学现代化产业体系研究院, 杭州 310023 
zjh040455@163.com 
胡玮晴 浙江工业大学经济学院, 杭州 310023  
徐维祥 浙江工业大学经济学院, 杭州 310023
浙江工业大学现代化产业体系研究院, 杭州 310023 
 
李续双 清华大学经济管理学院, 北京 100084 lxs22@mails.tsinghua.edu.cn 
鲁徐诺 浙江工业大学经济学院, 杭州 310023  
中文摘要
      基于韧性理论框架,系统评估旅游生态系统韧性水平,揭示其空间关联网络的结构特征与驱动因素,对于践行绿色发展理念和推动旅游业高质量发展具有重要意义. 通过综合水平评价模型测度2008~2022年长三角城市群旅游生态韧性水平,运用修正引力模型、核心-边缘分析法、时空地理加权回归、空间计量和门槛模型揭示其空间网络特征及驱动因素. 结果表明:①长三角城市群旅游生态韧性呈现出“局部紧密、整体松散”的空间关联特征,“沪宁杭苏”子网络与其他节点的联系存在极化现象,主要的首位联系节点多出现在核心城市,并表现出三圈层的核心-边缘特征. ②经济发展、产业结构、交通基础、人力资本、对外开放和高铁开通等因素对旅游生态韧性空间关联具有明显的驱动作用,并呈现明显的带状或片状分布空间规律. ③产业结构、交通基础、对外开放和高铁开通对旅游生态韧性空间关联的影响存在空间溢出效应,而且城镇化和市场化对旅游生态韧性空间关联的影响存在门槛效应,呈现出边际效应递增的非线性特征.
英文摘要
      Based on the framework of resilience theory, the level of tourism ecosystem resilience is systematically evaluated, and the structural characteristics and driving factors of its spatial correlation network are revealed, which is of great significance for practicing the concept of green development and promoting high-quality development of the tourism industry. The level of tourism ecological resilience in the Yangtze River Delta urban agglomeration from 2008 to 2022 is measured using a comprehensive level evaluation model, and its spatial network characteristics and driving factors are revealed by using the modified gravity model, core-edge analysis method, spatiotemporal geographic weighted regression, spatial econometric, and threshold model. The results show that: ① The tourism ecological resilience of the Yangtze River Delta urban agglomeration presented the spatial correlation characteristics of “local tightness and overall looseness.” The connection between the “Shanghai-Nanjing-Hangzhou-Suzhou” sub-network and other nodes was polarized, and the first connection nodes mostly appeared in core cities, showing the core-edge characteristics of the three-layered. ② Factors such as economic development, industrial structure, transportation infrastructure, human capital, opening up to the outside world, and the opening of high-speed railways significantly drove the spatial correlation of tourism ecological resilience and showed obvious belt-like or sheet-like distribution patterns. ③ The impacts of industrial structure, transportation infrastructure, opening up to the outside world, and high-speed rail opening on the spatial correlation of tourism ecological resilience had spatial spillover effects. In addition, the impacts of urbanization and marketization on the spatial correlation of tourism ecological resilience had threshold effects, showing a nonlinear characteristic of increasing marginal effects.

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