摘要
伴随着全域旅游新理念的提出,我国旅游业的发展已经从景点竞争、线路竞争向跨界竞合新阶段迈进,了解各个区域的旅游竞争力在发展区域一体化过程中已成为必然。在数据可获性的前提条件下,选取合适的指标构建客观科学的指标体系。基于主成分分析方法(PCA),采用SPSS22.0软件对云南八个边境地市州旅游指标相关数据进行计算并对结果进行评价。结果显示:西双版纳州和红河州旅游竞争力最强,德宏州其次,文山州、普洱市、保山市、德宏州、临沧市和怒江州为较弱的空间格局形势。根据结果,提出针对性建议,以提升云南边境区域整体旅游竞争力。
With the new concept of global tourism, the development of China' s tourism industry entered the competition, the competition from the attractions line to new stage of cross - border cooperation, understanding the tourism competiti,Jeness of each region in the process of the development of regional integration became an inevitable. This could be a premise in the data, select the appropriate indexes to construct the index system objec- tively and scientifically. Based on the principal component analysis(PCA), using SPSS22.0 software on the eight Yunnan border areas (city) tourism related data was calculated and evaluated the results. The results showed that the state of Xishuangbanna and Honghe prefecture tourism was the most competitive, Dehong was secondly, the spatial pattern of Wenshan, Baoshan, Dehong, Lincang and Nujiang was weak. Finally, this paper put forward some suggestions in order to enhance the overall tourism competitiveness of Yunnan border region.
出处
《资源开发与市场》
CAS
CSSCI
2017年第9期1104-1108,共5页
Resource Development & Market
基金
国家自然科学基金项目"西南陆疆边境跨境旅游发展空间格局
机制及模式研究"(编号:41671147)
"边疆山区交通与旅游空间结构耦合及关联机制研究"(编号:41361037)
云南省旅游产业研究基地重点项目(编号:JD2014ZD10)
关键词
区域一体化
指标体系
主成分分析法
边境
竞争力
空间格局
regional integration
index system
principal component analysis(PCA)
frontier
competitiveness
spatial pattern