旅游综合质量, 引力模型, , 旅游经济, , 社会网络分析, , 新疆 ," /> 旅游综合质量, 引力模型, , 旅游经济, , 社会网络分析, , 新疆 ,"/> 新疆旅游经济网络特征的时空演变研究——基于修正的引力模型及社会网络分析
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干旱区地理 ›› 2020, Vol. 43 ›› Issue (2): 458-465.doi: 10.12118/j.issn.1000-6060.2020.02.20

• 区域经济 • 上一篇    下一篇

新疆旅游经济网络特征的时空演变研究——基于修正的引力模型及社会网络分析

王松茂1,2，徐宣国2，马江涛3，王艳威4   

  1. 1 复旦大学工商管理博士后流动站，上海 200433；

    2 山东农业大学经管学院，山东 泰安 271018 ；

    3 新疆工程学院信息工作学院，新疆 乌鲁木齐 830023； 4 新疆师范大学地理科学与旅游学院，新疆 乌鲁木齐 830054

  • 收稿日期:2019-01-02 修回日期:2019-05-28 出版日期:2020-03-25 发布日期:2020-03-25
  • 通讯作者: 徐宣国（1978-），男，山东日照人，教授，主要研究方向为企业管理.
  • 作者简介:王松茂（1980-），男，山东潍坊人，教授，主要研究方向为旅游扶贫、旅游经济空间分析. E-mail:1095929778@qq.com
  • 基金资助:
    新疆自治区自然科学基金面上项目（2016D01C047）资助

Spatial and temporal evolution of the tourism economy network in Xinjiang:Based on modified gravity model and social network analysis

WANG Song-mao1,2,XU Xuan-guo2,MA Jiang-tao3,WANG Yan-wei4   

  1. 1 Postdoctoral Station of Business Administration Department of Tourism,Fudan University,Shanghai 200433,China;

    2 College of Economics & Management,Shandong Agriculture University,Tai’an 271018,Shandong，China;

    3 School of Information Engineering,Xinjiang Ploytechnical University,Urumq 830023,Xinjiang,China; 4 School of Geography and Tourism,Xinjiang Normal University,Urumqi 830054,Xinjiang,China

  • Received:2019-01-02 Revised:2019-05-28 Online:2020-03-25 Published:2020-03-25

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摘要：

通过构建“旅游综合质量”评价指标，继而将引力模型进行修正以衡量各区域间旅游经济联系度并运用社会网络分析方法探究了2008—2017年新疆15个地州旅游经济的空间网络特征。结果表明：（1） 2008—2017年间，新疆旅游经济关联网络密度的均值仅为0.356、网络效率均值为0.718、网络等级度均值为0.367。（2） 10 a间，乌鲁木齐市、伊犁州直属、喀什地区、昌吉州、吐鲁番市等地属于度数中心度与中间中心度双高区域；阿勒泰地区、巴州等地属于度数中心度较高、中间中心度较低区域；克拉玛依市属于度数中心度较低，中间中心度较高区域；博州、和田地区、哈密地区、塔城地区、克州、阿克苏地区、石河子市等地属于度数中心度、中间中心度双低区域。（3） 乌鲁木齐市、昌吉州、喀什地区、伊犁州直属、阿勒泰地区等地在研究时限内属于“双向溢出板块”；石河子市、克拉玛依市、巴州、吐鲁番市属于“经纪人板块”；博州、哈密地区、塔城地区属于“净受益板块”；阿克苏地区、克州、和田地区属于“主受益板块”。本文旨在丰富旅游经济网络研究视角，同时为新疆各地州旅游经济发展与合作提供量化依据。

关键词: 旅游综合质量')">

旅游综合质量, 引力模型,  , 旅游经济,  , 社会网络分析,  , 新疆

Abstract: In this study,first,an evaluation index of “comprehensive tourism quality” was constructed and then the gravity model was modified to measure the degree of tourism economy connection among regions.Finally,the characteristics of the spatial network of the tourism economy were explored in 15 prefectures of Xinjiang,China from 2008 to 2017 by using the social network analysis method.The main conclusions are as follows: (1) From 2008 to 2017,the average density of the Tourism Economic Association Network in Xinjiang was only 0.356,the average network efficiency was 0.718,and the average network hierarchy was 0.367.(2) In the past ten years,Urumqi,Yili,Kashi,Changji,Turpan,and other locations had both high-degree centrality and medium centrality; Altay and Bazhou had high degree centrality and low-medium centrality; Karamay had low-degree centrality and high-medium centrality; Bozhou,Hotan and Hami areas,Tacheng area,Kezhou and Aksu areas,Shihezi city,and other locations had doubly low-degree centrality and medium centrality.(3) Urumqi,Changji,Kashi,Ili,and Altay belonged to the “two-way spillover plate” within the research time limit; Shihezi,Karamay,Bazhou,and Turpan belonged to the “broker plate”; Bozhou,Hami,and Tacheng belonged to “net benefit plate”; and Aksu,Kezhou,and Hetian belonged to the “main benefit plate”.This study aims to enrich the perspective of tourism economy network research and provides a quantitative basis for economic development of tourism and cooperation in Xinjiang.

Key words: comprehensive tourism quality, gravitation model, tourism economy, social network analysis, Xinjiang