地理研究 ›› 2020, Vol. 39 ›› Issue (4): 892-906.doi: 10.11821/dlyj020190280

• 研究论文 • 上一篇    下一篇

中国省际入境旅游集散优势度与旅游经济效率的空间关系

王钊1, 李涛2, 杨山2   

  1. 1.湖南师范大学旅游学院,长沙 410081
    2.南京师范大学地理科学学院,南京 210023
  • 收稿日期:2019-04-15 修回日期:2019-08-26 出版日期:2020-04-20 发布日期:2020-06-24
  • 作者简介:王钊(1991-),男,湖南衡山人,博士,讲师,硕士生导师,主要研究方向为城乡发展与区域规划,旅游地理。E-mail: wangzhao_njnu@163.com
  • 基金资助:
    国家自然科学基金项目(41471171);教育部人文社会科学研究青年基金项目(20YJCZH174);湖南省教育厅优秀青年项目(18B042);湖南师范大学博士科研启动项目(BQ2018101506)

Spatial relationship between inbound tourist distribution superiority and tourism economic efficiency among provinces in China

WANG Zhao1, LI Tao2, YANG Shan2   

  1. 1.College of Tourism, Hunan Normal University, Changsha 410081, China
    2.School of Geographic Science, Nanjing Normal University, Nanjing 210023, China
  • Received:2019-04-15 Revised:2019-08-26 Online:2020-04-20 Published:2020-06-24

摘要:

以中国省际入境旅游流为研究对象,在构建集散优势度与旅游经济效率耦合理论框架基础上,运用复杂网络分析方法和空间经济学理论揭示了2005年、2016年各省市“势-效”空间关系演化规律,并据此提出省际入境旅游与当地旅游经济间“势-效”空间关系优化的方式。研究发现:集散优势度存在显著空间分异,且随时间变化发生冷热点迁移。北京、上海、广东、四川最具集散优势。旅游综合效率值整体呈上升趋势,但两极分化现象显著,至2016年基本形成南北高低相间、东西高低分化的“S”型格局。受地区旅游经济增长、资源要素投入等因素影响,“势-效”耦合的空间关系不断调整。针对部分地区“势-效”关系存在失调,研究提出了失衡型、低水平协调型旅游地的协调机制与路径,促进“势-效”关系在空间上良性协同。

关键词: 入境旅游, 集散优势度, 旅游经济效率, 空间关系

Abstract:

The relationship between tourist flow and tourism economic efficiency has been an important topic of research in the fields of tourism economics and tourism geography. Existing studies tend to treat them as independent subjects. In particular, few studies have investigated the spatial relationship between them. This paper aims to fill the research gap through a comprehensive analysis of inter-provincial inbound tourist flows. The paper first constructs a coupling framework between tourist distribution superiority and tourism economic efficiency. It then measures the comparative superiority and economic efficiency for the 31 provincial-level regions to reveal the temporal and spatial patterns. Several conclusions can be dawn as follows. First, inbound tourist distribution superiority shows significant differentiations at the provincial level. During the 11-year period of 2005-2016, relative superiority changed most significantly. Beijing, Shanghai, Guangdong and Sichuan have obvious advantages in attracting inbound tourists. Second, the average economic efficiency increased from 0.485 to 0.520, and the proportion of the 1st- and 5th-level provincial-level regions increased from 29.03% to 48.39%, indicating an obvious rise as well as a polarization trend. By 2016, an 'S'-shaped spatial distribution for high-level efficiency provinces had emerged. Third, the spatial relationship between distribution superiority and efficiency was altered. Specifically, the number of high-level and medium-level coordination (H-H and M-M) areas increased, while that of low-level coordination (L-L) areas decreased. Meanwhile, the number of imbalanced tourist destinations (H-L or L-H) increased. Fourth, tourist distribution superiority and tourism economic efficiency are two key variables that are closely interrelated. An imbalanced relationship between distribution superiority and efficiency affects the overall competitiveness of regional tourism. Thus it is suggested that more resources should be allocated to the weak coupling system to strengthen the relationship between tourist distribution superiority and economic efficiency. More importantly, varying strategies should be implemented for each tourist destination according to their coupling state.

Key words: inbound tourism, distribution superiority, tourism economic efficiency, spatial relationship