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人文地理  2024, Vol. 39 Issue (1): 142-152    DOI: 10.13959/j.issn.1003-2398.2024.01.015
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中国城市航空交通关联网络对旅游经济发展的影响效应研究
蔡鸿云1,3, 明庆忠2, 韩剑磊3, 贡小妹1
1. 上海大学 管理学院, 上海 200444;
2. 云南财经大学 旅游文化产业研究院, 昆明 650221;
3. 云南财经大学 旅游与酒店管理学院, 昆明 650221
RESEARCH ON THE IMPACT EFFECT OF URBAN AIR TRANSPORTATION LINKAGE NETWORKS ON TOURISM ECONOMIC DEVELOPMENT IN CHINA
CAI Hong-yun1,3, MING Qing-zhong2, HAN Jian-lei3, GONG Xiao-mei1
1. School of Management, Shanghai University, Shanghai 200444, China;
2. Institute of Tourism and Culture Industry, Yunnan University of Finance and Economics, Kunming 650221, China;
3. School of Tourism and Hospitality Management, Yunnan University of Finance and Economics, Kunming 650221, China

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摘要 基于2011—2020年我国148个城市航空面板数据,运用复杂网络分析法和动态空间面板杜宾模型等多种方法探讨航空交通关联网络的旅游经济影响效应。结果表明:航空交通关联网络以“菱形”或“重叠三角形”核心子网为支撑,社区结构上中东部演变为“交织叠加”、西部演变为“边缘城市就近更迭”;旅游经济效率等级呈东部>西南部>中部>西部的空间格局,西部及中部城市存在“低效锁定”,效率演变难以实现“跳跃型”转移且受邻域的“同群效应”影响;航空交通优势度对旅游经济效率产生“倒U型”的直接及溢出影响,关联城市的经济发展水平、市场人口密度、旅游关注力度、开放力度产生正向直接及溢出影响,而旅游产业集聚与人力资本仅产生正向直接影响。
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蔡鸿云
明庆忠
韩剑磊
贡小妹
关键词 航空交通关联网络旅游经济效率网络外部性动态空间面板杜宾模型中国    
Abstract:Based on the panel data from 148 cities in China's aviation sector spanning the period of 2011-2020, this research explores the influence of air transportation linkage networks on tourism economic development. The research employs various methodologies, including complex network analysis, non-radial Super-SBM model, spatial Markov chain, and dynamic spatial panel Durbin model, to explore spatial evolution patterns and provide empirical evidence. The findings reveal that air transportation linkage networks exhibit a core sub-network characterized by a "diamond" or "overlapping triangle" structure, strengthening network balance, stability, and overlapping effect. The community structure demonstrates an "intertwined and overlapping" pattern in the central-eastern region, while the western region features "edge cities in close proximity". The spatial distribution of tourism economic efficiency levels follows an east > southwest > central > west pattern, the hierarchical solidification of spatial evolution is clearly characterized. Different from the empirical results obtained from previous researches, this research reveals that when a city becomes connected to aviation, it immediately benefits from positive tourism factors due to the spillover of aviation advantages from neighboring cities. Finally, to avoid the negative consequences of agglomeration under balanced competition, China should promote inter-city tourism capital flows, industry-related division of labor cooperation, and knowledge and technology spillover.
Key wordsair transportation linkage networks    tourism economic efficiency    network externalities    dynamic spatial panel Durbin model    China   
收稿日期: 2023-03-07     
PACS: F590  
基金资助:国家自然科学基金项目(41961021);国家社会科学基金青年项目(19CGL029)
通讯作者: 韩剑磊(1987-),男,山东泰安人,博士,副教授,主要研究方向为区域旅游经济。E-mail:523502796@qq.com。     E-mail: 523502796@qq.com
作者简介: 蔡鸿云(1997-),男,广东云浮人,硕士生,主要研究方向为区域旅游经济。E-mail:945264921@qq.com。
引用本文:   
蔡鸿云, 明庆忠, 韩剑磊, 贡小妹. 中国城市航空交通关联网络对旅游经济发展的影响效应研究[J]. 人文地理, 2024, 39(1): 142-152. CAI Hong-yun, MING Qing-zhong, HAN Jian-lei, GONG Xiao-mei. RESEARCH ON THE IMPACT EFFECT OF URBAN AIR TRANSPORTATION LINKAGE NETWORKS ON TOURISM ECONOMIC DEVELOPMENT IN CHINA. HUMAN GEOGRAPHY, 2024, 39(1): 142-152.
链接本文:  
http://rwdl.xisu.edu.cn/CN/10.13959/j.issn.1003-2398.2024.01.015      或     http://rwdl.xisu.edu.cn/CN/Y2024/V39/I1/142
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