暨南学报(哲学社会科学版)

作者：苏海洋

单位：暨南大学管理学院。

关键词：联系能级,旅游网络结构,粤港澳大湾区,城市群,网络结构效应

基金：中国工程院院地合作重大项目“广东省‘一核一带一区’的产业布局研究”(2019-GD-2);国家社会科学基金项目“社会责任视角下乡村旅游小企业参与旅游精准扶贫机制研究”(17BGL124)。

以往城市旅游网络研究忽略了对综合实力的表征,能级作为涵盖经济、潜力和环境在内的综合概念,进一步丰富了网络内涵,为旅游高质量发展提供了立足点。本文以粤港澳大湾区为例,通过改进城市旅游能级综合评价指标体系,计算2006年、2010年、2014年、2018年的城市旅游能级指数,利用改进的引力模型形成关系数据——城市旅游能级联系,借助社会网络分析方法探讨网络结构特征,并通过多元线性回归模型剖析个体网络结构效应。研究发现,在以广、港、澳、深等城市主导旅游网络格局并辐射其他城市的长期影响下,东莞等城市也逐渐呈现出一定扩散作用,整体网络的扩散效应大于集聚效应;网络中“一家独大”的局面弱化,珠江西岸城市竞争优势提升;存在明显的核心—边缘结构,呈现“同等级匹配”的小团体合作模式。城市旅游集聚与扩散能力、控制与依赖能力、城市旅游产业地位、外商直接投资、旅游要素流动等正向影响城市旅游能级联系水平,而邻近城市数量呈现负向影响作用。这揭示了在包含经济、潜力和环境的“全域”层面,极化—涓滴效应仍然奏效,且在旅游领域证实了网络中城际联系的非地理邻近性,即不存在邻近关系的城市也会在全球化、信息化的今天产生互动关联,甚至通过这种互动关联颠覆传统网络格局。为今后进一步引导粤港澳大湾区内部城市互联协作、优化旅游空间结构和一体化发展提供了立足点与参考点。"/>template{display:none;}.mag-rich-xref-fn { cursor: pointer;}//长视频$(document).ready(function(){if($("#showLongArticleVideo") && $("#showLongArticleVideo").length && $("#showLongArticleVideo").length>0){mag_ajax_update({ele_id:'showLongArticleVideo',url:mag_currentQikanUrl() + "/CN/article/showLongArticleVideo.do?id="+$("#articleId").val()});}});$(document).ready(function(){window.metaData = {"journal":{"issn":"1000-5072","qiKanMingCheng_CN":"暨南学报（哲学社会科学版）","id":2,"qiKanMingCheng_EN":"Jinan Journal"},"fundList_cn":["中国工程院院地合作重大项目“广东省‘一核一带一区’的产业布局研究”(2019-GD-2);国家社会科学基金项目“社会责任视角下乡村旅游小企业参与旅游精准扶贫机制研究”(17BGL124)。"],"article":{"keywordList_cn":["城市群","联系能级","旅游网络结构","网络结构效应","粤港澳大湾区"],"juan":"43","zhaiyao_cn":"以往城市旅游网络研究忽略了对综合实力的表征,能级作为涵盖经济、潜力和环境在内的综合概念,进一步丰富了网络内涵,为旅游高质量发展提供了立足点。本文以粤港澳大湾区为例,通过改进城市旅游能级综合评价指标体系,计算2006年、2010年、2014年、2018年的城市旅游能级指数,利用改进的引力模型形成关系数据——城市旅游能级联系,借助社会网络分析方法探讨网络结构特征,并通过多元线性回归模型剖析个体网络结构效应。研究发现,在以广、港、澳、深等城市主导旅游网络格局并辐射其他城市的长期影响下,东莞等城市也逐渐呈现出一定扩散作用,整体网络的扩散效应大于集聚效应;网络中“一家独大”的局面弱化,珠江西岸城市竞争优势提升;存在明显的核心—边缘结构,呈现“同等级匹配”的小团体合作模式。城市旅游集聚与扩散能力、控制与依赖能力、城市旅游产业地位、外商直接投资、旅游要素流动等正向影响城市旅游能级联系水平,而邻近城市数量呈现负向影响作用。这揭示了在包含经济、潜力和环境的“全域”层面,极化—涓滴效应仍然奏效,且在旅游领域证实了网络中城际联系的非地理邻近性,即不存在邻近关系的城市也会在全球化、信息化的今天产生互动关联,甚至通过这种互动关联颠覆传统网络格局。为今后进一步引导粤港澳大湾区内部城市互联协作、优化旅游空间结构和一体化发展提供了立足点与参考点。","endNoteUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/article/getTxtFile.do?fileType=EndNote&id=6051","bibtexUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=BibTeX&id=6051","abstractUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2021/V43/I11/62","qi":"11","id":6051,"nian":2021,"bianHao":"2021-11-62","zuoZheEn_L":"SU Haiyang","juanUrl_en":"https://jnxb.jnu.edu.cn/skb/EN/Y2021","shouCiFaBuRiQi":"2021-12-17","qiShiYe":"62","qiUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/Y2021/V43/I11","lanMu_cn":"粤港澳大湾区研究","pdfSize":"2789","zuoZhe_CN":"苏海洋","risUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=Ris&id=6051","title_cn":"基于联系能级的粤港澳大湾区城市旅游网络结构及其效应研究","jieShuYe":"76","keywordList_en":["contact energy level","Guangdong-Hong Kong-Macao Greater Bay Area","network structure effect","tourism network structure","urban agglomeration"],"endNoteUrl_cn":"https://jnxb.jnu.edu.cn/skb/CN/article/getTxtFile.do?fileType=EndNote&id=6051","zhaiyao_en":"Previous studies on urban tourism network have ignored the characterization of comprehensive strength. The energy level, as a comprehensive concept covering economy, potential, and environment, further enriches the connotation of network and provides a standing point for the high-quality development of tourism. Taking Guangdong-Hong Kong-Macao Greater Bay Area as an example, this paper improves the comprehensive evaluation index system of urban tourism level, calculates the urban tourism level index of 2006, 2010, 2014 and 2018, and uses the improved gravity model to form the relationship data-urban tourism level connection. On this basis, social network analysis method is used to explore the characteristics of network structure, and multiple linear regression model is used to analyze the effect of individual network structure. 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来源：2021年第11期

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