自然科学版
陕西师范大学学报(自然科学版)
资源与环境科学
入境旅游流空间转移与旅游经济联系强度耦合分析
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胡巧娟, 马耀峰*, 张岩君, 高楠
(陕西师范大学旅游与环境学院,陕西西安 710062)
胡巧娟,女,硕士研究生,主要研究方向为区域旅游开发与市场.E-mail:huqiaojuan@stu.snnu.edu.cn.*通信作者:马耀峰,男,教授,博士研究生导师.E-mail:myfmx@snnu.edu.cn.
摘要:
以陕西向15个典型省市转移的入境旅游流为例,借助SPSS统计软件,利用转移态、旅游经济联系强度、相关分析和耦合分析等方法,对15条入境旅游流空间转移与旅游经济联系强度之间耦合关系进行分析.结果表明:(1) 陕西入境旅游流转移具有经济、资源和交通导向性;(2) 陕西与北京、上海、广东等旅游资源丰富及可进入性好的省市旅游经济联系强度较大;(3) 浙江属于非耦合区域,江苏和广西属于低度耦合区域,山东、上海、重庆和云南属于中度耦合区域,北京、河北、辽宁、贵州、天津、广东、福建和四川属于高度耦合区域.在此基础上对陕西与15个典型省市旅游业如何更好的发展提出相应建议.
关键词:
入境旅游流; 转移态; 旅游经济联系强度; 耦合
收稿日期:
2012-04-10
中图分类号:
F590; F592.99
文献标识码:
A
文章编号:
1672-4291(2012)06-0087-05
基金项目:
国家自然科学基金资助项目(40901077); 陕西师范大学研究生培养创新基金项目(2012CXB008).
Doi:
Analysis of coupling between inbound tourist flows transfer and tourism economy link intensity
HU Qiao-juan, MA Yao-feng*, ZHANG Yan-jun, GAO Nan
(College of Tourism and Environment, Shaanxi Normal University, Xi′an 710062, Shaanxi, China)
Abstract:
Taking inbound tourist flow transfer from Shaanxi province to 15 typical provinces and cities as example, using SPSS statistics software and methods of transfer state,economic link intensity,correlation and coupling analysis, the coupling relationship between inbound tourist flows transfer and tourism economic link intensity were analyzed. The results are as follows: First, inbound tourism flow of Shaanxi province is guided by economy, resources and traffic; Second, Shaanxi province has high tourism economy link intensity with areas rich in resources and well available such as Beijing, Shanghai and Guangdong province; The results indicate that Zhejiang province are non-coupling areas; Jiangsu province and Guangxi province are low-coupling areas; Shandong province, Shanghai, Chongqing, Yunnan province are mid-coupling areas; Beijing,Tianjin, Hebei province, Liaoning province, Fujian province, Guangdong province, Sichuan province, Guizhou province are high-coupling areas. Considering these results, the relevant strategies and suggestions on how to develop the tourism of Shaanxi province and 15 typical provinces and cities better were proposed.
KeyWords:
inbound tourist flow; transfer state; tourism economic link intensity; coupling