资源与产业 ›› 2011, Vol. 13 ›› Issue (6): 157-161.

• 资源市场 • 上一篇    下一篇

四川省入境旅游市场时空变化特征研究

郭剑英1, 熊明均2   

  1. 1乐山师范学院   旅游与经济管理学院,四川  乐山  614000;2乐山师范学院  学生处,四川   乐山    614000
  • 收稿日期:2011-01-14 修回日期:2011-09-19 出版日期:2011-12-20 发布日期:2011-12-21
  • 作者简介:郭剑英(1976— ),女,副教授,主要从事旅游地理与旅游管理研究。E-mail: guojy-mail@163.com
  • 基金资助:

    四川省哲学社会科学重点研究基地——四川旅游发展研究中心立项课题(LM11-26)。

TEMPORAL AND SPATIAL CHANGES OF SICHUAN’S INBOUND TOURISM MARKET

GUO  Jian-ying1, XIONG  Ming-jun2   

  1. 1School of Tourism and Economic Management, Leshan Normal University, Leshan 614000, China;    2Department of Student’s Affairs, Leshan Normal University, Leshan 614000, China
  • Received:2011-01-14 Revised:2011-09-19 Online:2011-12-20 Published:2011-12-21

摘要:

旅游市场时空变化特征分析是科学制定区域旅游发展战略的基础。以2000—2009年四川入境旅游统计数据为基础,通过对入境旅游时空分布集中性、亲景度等指标的计算和分析,揭示了四川入境旅游市场时空变化特征。研究发现入境旅游市场的季节集中指数在0.088~0.118之间,说明入境旅游市场年内分配很均匀,无明显的淡旺季之分;入境旅游市场中香港和日本的年际集中指数较低,而其他客源市场年际集中指数偏高。四川入境旅游市场地理集中指数不断降低,表明入境旅游市场分布趋于分散,入境旅游者的地区分布差异显著,主要集中在成都和阿坝州,乐山市、遂宁市、资阳市和甘孜州成为入境旅游接待的新的增长极。入境旅游市场的亲景度总体趋于下降,表明四川入境旅游的竞争力在下降。

关键词: 入境旅游市场, 季节性强度指数, 地理集中性指数, 亲景度, 四川省

Abstract:

A temporal and spatial change analysis is a base to make a regional tourism development strategy. This paper, according to Sichuan inbound tourism 2000-2009 information, analyzes its concentration and preference extent, and reveals a temporal and spatial change of Sichuan’s inbound tourism market. The seasonal concentration index lies between 0.088 to 0.118, indicating an even yearly allocation and no clear seasonal difference. A low concentration index from Hongkong and Japan is quite lower than other regions. The geographic concentration index is continuously declining, which means a decentralizing inbound tourism market distribution. The region distribution varies largely, mainly concentrating in Chengdu and Aba. A new rise is forming along Leshan, Suining, Ziyang and Ganzi. The gross preference extent is also descending, implying a lowering competitiveness in Sichuan’s inbound tourism.

Key words: inbound tourism market, seasonal intensity index, geographic concentration index, preference extent, Sichuan province

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