地理科学 ›› 2020, Vol. 40 ›› Issue (8): 1310-1318.doi: 10.13249/j.cnki.sgs.2020.08.010

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产业融合背景下运动休闲特色小镇的空间分异及形成因素

王兆峰(), 刘庆芳()   

  1. 湖南师范大学旅游学院,湖南 长沙 410081
  • 收稿日期:2019-03-29 出版日期:2020-08-10 发布日期:2020-12-07
  • 通讯作者: 刘庆芳 E-mail:jdwzf@126.com;m13155029850@163.com
  • 作者简介:王兆峰(1965-),男,湖南桑植人,博士,教授,博导,主要从事旅游地理研究。E-mail: jdwzf@126.com
  • 基金资助:
    国家自然科学基金项目(41771162,41971188)、安徽省高校优秀拔尖人才培育资助项目(gxgwfx2019058)、湖南省国内一流培育学科建设项目(5010002)资助

Spatial Differentiation and the Forming Factors of Sports and Leisure Characteristic Towns Under the Background of Industry Convergence

Wang Zhaofeng(), Liu Qingfang()   

  1. Tourism College of Hunan Normal University, Changsha 410081, Hunan, China
  • Received:2019-03-29 Online:2020-08-10 Published:2020-12-07
  • Contact: Liu Qingfang E-mail:jdwzf@126.com;m13155029850@163.com
  • Supported by:
    National Natural Science Foundation of China (41771162, 41971188), Key Foundation of Outstanding Talents Support Program of Anhui Province Universities (gxgwfx2019058), Construction Program for First Class Disciplines of Hunan Province, China (5010002)

摘要:

运用GIS空间分析探索中国运动休闲特色小镇的空间分异特征,通过逐步回归分析辨识运动休闲特色小镇空间分异的主导因素。结果表明:① 运动休闲特色小镇最邻近指数为0.77,空间集聚特征显著,主要分布于北京、河北和湖北3省市,呈“南多北少、东多西少”的空间分布特征;② 全国范围内运动休闲特色小镇地理集中指数为20.07%,东、中、西部的地理集中指数均大于全国地理集中指数,局部集中态势明显;不均衡指数为0.17,东部地区运动休闲特色小镇数量占全国的47.92%,分布最为集中;③ 运动休闲特色小镇主要集中分布于环渤海城市群、泛长三角城市群和长江中游城市群等地区;④ 政策环境、旅游经济发展水平、体育产业示范单位和体育产业示范项目成为影响中国运动休闲特色小镇空间分异的主导因素。

关键词: 产业融合, 运动休闲特色小镇, 探索性空间数据分析(ESDA), 空间分异, 形成因素

Abstract:

Sports and leisure characteristic town is a spatial development platform of sports industry supported by sports industry and built with sports and leisure as the theme. GIS spatial analysis is used to explore the spatial differentiation characteristics of sports and leisure characteristic towns, and the dominant forming factors of spatial differentiation of sports and leisure characteristic towns are identified by means of Stepwise Regression Analysis. The results show that: 1) The Nearest Neighbor Index of sports and leisure characteristic towns is 0.77, which shows significant spatial agglomeration characteristics of sports and leisure characteristic towns. The towns are mainly distributed in Beijing City, Hebei Province and Hubei Province, with a spatial distribution pattern of “more in the south, less in the north, more in the east, and less in the west”. 2) The national Geographic Concentration Index is 20.07%, which is smaller than that in the eastern, the central and the western regions and shows obvious local concentration. The Imbalance Index is 0.17, and the number of sports and leisure characteristic towns in the eastern region, which is the most concentrated distribution, accounts for 47.92% of the country. 3) The sports and leisure characteristic towns in China are mainly distributed in the urban agglomerations in the Bohai Rim Region, the Pan Yangtze River Delta and the middle reaches of the Yangtze River. 4) Policy environment, tourism economy development level, sports industry demonstration units and sports industry demonstration projects become the leading factors influencing the spatial differentiation of sports and leisure characteristic towns in China.

Key words: industry convergence, sports and leisure characteristic towns, Exploratory Spatial Data Analysis (ESDA), spatial differentiation, forming factor

中图分类号: 

  • K901.6