地理科学进展 ›› 2010, Vol. 29 ›› Issue (10): 1249-1255.doi: 10.11820/dlkxjz.2010.10.013

• 旅游地理 • 上一篇    下一篇

中国省际旅游业发展演进的时空特征

王良健,李晶晶,陈锦龙   

  1. 湖南大学经济与贸易学院,长沙410079
  • 出版日期:2010-10-25 发布日期:2010-10-25
  • 通讯作者: 李晶晶,E-mail: panda861009@163.com E-mail:wangliangjian1234@126.com;panda861009@163.com
  • 作者简介:王良健(1964-)|男|教授|博导|主要研究方向为区域经济、旅游规划与开发。E-mail: wangliangjian1234@126.com
  • 基金资助:

    国家旅游局2009 年规划项目(09TAAG013).

Spatial-Temporal Features of Inter-province Tourism In China

WANG Liangjian, LI Jingjing, CHEN Jinlong   

  1. College of Economy and Trade, Hunan University, Changsha 410079, China
  • Online:2010-10-25 Published:2010-10-25

摘要:

采用Kernel 密度估计和马尔科夫链分析方法,并在分析框架中引入空间因素,分析中国省际国内旅游和入境旅游发展演进的时空动态变化特征。从时间动态性的视角看,中国省际国内旅游和入境旅游的发展演进均存在俱乐部收敛趋势,广大的旅游低收入地区与少数的旅游高收入地区长期并存;从空间动态性的视角看,近邻效应对国内旅游和入境旅游的发展演进都有一定影响,部分地区向邻区的平均发展水平演进。但是无论从时间还是空间动态角度,国内旅游和入境旅游的演变趋势都不尽相同。

关键词: Kernel密度估计, 旅游业, 马尔科夫链, 中国

Abstract:

Based on Kernel density estimates and Markov Chains methods, by introducing spatial factors into the analysis framework, China’s provincial internal and inbound tourism development (1999-2008) dynamics are studied. The results from temporal dynamics suggest that there is the evidence of club convergence. Majority of low-income areas of tourism and a small number of high-income areas of tourism coexist for a long time. From the spatial perspective, we find that both internal and inbound tourism regional income are partly influenced by proximity effects and there is a trend towards the development level of neighbors. But the dynamic trends of the internal and inbound tourism are not always the same.

Key words: Kernel density estimates, Markov Chains, tourism, China