吉首大学学报(社会科学版) ›› 2023, Vol. 44 ›› Issue (2): 107-119.DOI: 10.13438/j.cnki.jdxb.2023.02.011

• 管理学 • 上一篇    下一篇

武陵山片区县域旅游经济空间异质性研究

蔡建刚   

  1. (吉首大学 旅游学院,湖南 张家界 427000)
  • 出版日期:2023-03-01 发布日期:2023-04-20
  • 作者简介:蔡建刚,男,博士,吉首大学旅游学院副教授。
  • 基金资助:
    国家自然科学基金项目(72063007,72164011);湖南省教育厅科学研究重点项目(20A403)

A Study on the Spatial Heterogeneity of County Tourism Economy in Wuling Mountain Area

CAI Jiangang   

  1. (Tourism College,Jishou University,Zhangjiajie 427000,Hunan China)
  • Online:2023-03-01 Published:2023-04-20

摘要:武陵山片区县域旅游经济发展的整体水平较低,其空间分布表现出较强的空间依赖性。从武陵山片区全域来看,旅游资源禀赋和地方经济发展水平对旅游经济发展的正向作用明显,但交通基础设施的作用不显著。从局域来看,县域旅游存在显著的空间异质性:湖北片区受自然旅游资源的影响最不敏感;重庆片区和贵州片区以及邵阳市的部分县(市)受人文旅游资源影响较小;公路密度对当地旅游经济发展的影响不明显;地方经济发展水平的作用则存在较大差异,湖南片区的经济带动作用明显较弱。为促进县域旅游高质量发展,武陵山片区需以张家界市为龙头打造区域旅游层级体系,并推进文化旅游深度融合发展,加速交通基础设施互联互通,切实提高区域旅游空间竞争力。

关键词: 武陵山片区, 县域旅游经济, 空间异质性, 地理加权回归

Abstract: It is found that the overall level of county tourism economic development in Wuling Mountain area is low and its spatial distribution shows strong spatial dependence.From the perspective of the whole Wuling Mountain area,the endowment of tourism resources and the level of local economic development have an obvious positive effect on the development of tourism economy,but the role of transportation infrastructure is not significant.From a local point of view,county tourism has significant spatial heterogeneity:Hubei is the least sensitive to the influence of natural tourism resources;Chongqing,Guizhou and some counties (cities) of Shaoyang are less affected by human tourism resources;the impact of highway density on local tourism economic development is not obvious;the role of local economic development is quite different,and the economic driving role of Hunan is obviously weak.In order to promote the high-quality development of county tourism,Wuling Mountain area should take Zhangjiajie as the leader to build a regional tourism hierarchy,promote the deep integration and development of cultural tourism,accelerate the interconnection of transportation infrastructure,and effectively improve the spatial competitiveness of regional tourism.

Key words: Wuling Mountain area, county tourism economy, spatial heterogeneity, geographically weighted regression

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