海南省旅游业空间集聚研究

侯迎, 郑芳

侯迎, 郑芳. 海南省旅游业空间集聚研究[J]. 信阳师范学院学报(自然科学版), 2014, 27(4): 505-509. DOI: 10.3969/j.issn.1003-0972.2014.04.010
引用本文: 侯迎, 郑芳. 海南省旅游业空间集聚研究[J]. 信阳师范学院学报(自然科学版), 2014, 27(4): 505-509. DOI: 10.3969/j.issn.1003-0972.2014.04.010
Hou Ying , Zheng Fang . Research on Tourism Spatial Agglomeration of Hainan Province[J]. Journal of Xinyang Normal University (Natural Science Edition), 2014, 27(4): 505-509. DOI: 10.3969/j.issn.1003-0972.2014.04.010
Citation: Hou Ying , Zheng Fang . Research on Tourism Spatial Agglomeration of Hainan Province[J]. Journal of Xinyang Normal University (Natural Science Edition), 2014, 27(4): 505-509. DOI: 10.3969/j.issn.1003-0972.2014.04.010

海南省旅游业空间集聚研究

基金项目: 

国家自然科学基金项目(51309134)

宁夏大学人才引进科研启动基金(BQD2012011)

详细信息
    作者简介:

    侯迎(1985-),男,山东菏泽人,讲师,博士,主要研究方向:旅游气候与环境资源.

  • 中图分类号: F590

Research on Tourism Spatial Agglomeration of Hainan Province

  • 摘要: 基于海南省历年统计数据与旅游景区、星级酒店及旅行社等旅游要素的空间位置关系,选用Hefindahl指数、区位熵系数、最临近点指数、空间联系指数及地理集中指数,对海南省旅游业空间集聚程度进行测算,进而分析海南旅游业总体、旅游要素、区域内部、城市集聚现状及差异.结果表明:海南省旅游业总体上呈集聚增长趋势;东部旅游集聚程度最大,西部次之,中部最小;琼北经济圈及三亚旅游圈构成海南岛南北各具特色并具较强竞争力的两大旅游集聚区;三亚、海口为海南省大尺度的旅游集聚区.在此基础上分析海南省旅游业空间集聚的影响因素,包括旅游资源禀赋、旅游业自身属性、区位条件、政府政策及经济发展水平,并探讨海南省旅游空间集聚模式.
    Abstract: In order to measure Hainan tourism spatial agglomeration, yearly statistical data and spatial relationships between tourism spots, starred hotels and travel agencies of Hainan island were analyzed by utilizing Hefindahl index, Location Quotient, Nearest Neighbor Index, Spatial Connection Index and Geographic Concentration Index. The following conclusions were reached: regional and cities' agglomeration was obvious; the overall agglomeration was increasing as time flows and it's more agglomerated than the average of primary, secondary and tertiary industries; the eastern part was the most clustered, northern part and southern part were two tourism spatial agglomeration areas. The influencing factors of Hainan tourism spatial agglomeration were tourism resource endowment, industry characteristics, geographic conditions, governmental policies and the overall economic development level. Different spatialscale regions and differentcharacteristic scenic spots were dominated by different influencing factors. Largescale regions such as Sanya and Haikou were influenced by the location and governmental policies. Mediumscale counties' tourism mainly depended on tourism resource endowment. Smallscale scenic spots had comparably complicated dominating factors but were mainly concerned with its characteristics.
  • [1] 蒋子龙,曾菊新. 2001-2010 年武汉城市圈县域工业空间集聚特征研究[J]. 信阳师范学院学报:自然科学版,2013,26(1):57-61.
    [2] 李学鑫. 城市群集聚经济与产业分工对外商直接投资区位选择影响的实证研究[J]. 信阳师范学院学报:哲学社会科学版,2008,28(3):52-56.
  • 期刊类型引用(5)

    1. 张广海,张红. 我国旅游业空间集聚与规模经济效应分析. 青岛科技大学学报(社会科学版). 2020(02): 15-20 . 百度学术
    2. 李航飞. 广东省山区五市旅游业集聚水平与效应分析. 韶关学院学报. 2017(07): 43-47 . 百度学术
    3. 李航飞. 广东省旅游产业集聚水平与效应分析. 云南地理环境研究. 2017(02): 9-16 . 百度学术
    4. 李航飞,高维忠. 基于空间计量分析的广东省旅游业发展水平区域差异探究. 信阳师范学院学报(自然科学版). 2016(01): 71-74 . 本站查看
    5. 邹继武,刘杰. 基于“钻石模型”的长株潭经济圈旅游业发展研究. 城市地理. 2015(20): 270 . 百度学术

    其他类型引用(2)

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  • 被引次数: 7
出版历程
  • 收稿日期:  2014-04-15
  • 发布日期:  2014-10-09

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