地理科学 ›› 2014, Vol. 34 ›› Issue (11): 1299-1304.doi: 10.13249/j.cnki.sgs.2014.011.1299

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中国入境旅游经济空间格局的时空动态性

郭永锐(), 张捷(), 卢韶婧, 吴荣华   

  1. 南京大学地理与海洋科学学院,江苏 南京 210023
  • 收稿日期:2013-04-19 修回日期:2013-06-19 出版日期:2014-11-10 发布日期:2014-11-10
  • 作者简介:

    作者简介: 郭永锐(1985-),男,山东聊城人,博士研究生,主要从事旅游地理研究。E-mail:guoyongrui58@163.com

  • 基金资助:
    国家自然科学基金(41171121、40371030)资助

Spatio-temporal Change of the Inbound Tourism Economic Development in China

Yong-rui GUO(), Jie ZHANG(), Shao-jing LU, Rong-hua WU   

  1. School of Geographic and Oceanographic Science, Nanjing University, Nanjing, Jiangsu 210093, China
  • Received:2013-04-19 Revised:2013-06-19 Online:2014-11-10 Published:2014-11-10

摘要:

以中国31个省域作为研究单元,以入境旅游外汇收入作为入境旅游经济的衡量指标,运用ESTDA框架,通过ESDA、LISA时间路径和时空跃迁等方法,从时空耦合的视角对中国2001~2011年省域入境旅游经济空间格局的时空动态性进行分析。研究发现:中国入境旅游经济存在弱正相关,表现为一种弱积聚格局,入境旅游经济空间差异呈现先缩小后扩大的趋势;东部沿海旅游经济发达地区具有更加动态的局部空间结构,而中西部旅游经济欠发达地区具有更加稳定的局部空间结构;湖北省在空间依赖方向上具有最大的波动性,而浙江省在空间依赖方向上具有最大的稳定性;中国入境旅游经济空间格局的演化具有较强的空间整合性,出现协同高增长趋势的省份主要集中在东部地区,而出现协同低增长趋势的省份主要集中在中西部地区;中国入境旅游经济的局部区域结构和空间自相关性非常稳定,具有一定的路径依赖或锁定特征。

关键词: 入境旅游经济, 时空动态性, 探索性空间数据分析, LISA时间路径, 时空跃迁, 空间自相关

Abstract:

The importance of space to many socioeconomic processes has been gaining attentions and recognition. The spatial effect in regional differences studies is now an important theme in the literature. But, both spatial and temporal attributes of data are important, existing approaches focused primarily on one of these attributes. The empirical analysis should take into account that the nature of tourism economic development is both spatial and temporal. Using the methods of exploratory spatial data analysis (ESDA), LISA Time Path, LISA space-time transition measure and STARS (Space-Time Analysis of Regional Systems) software, this article analyzed the space-time dynamics of the inbound tourism economic development in China, measured by the foreign exchange revenue from China's inbound travel, throughout 31 Chinese mainland provinces from 2001 to 2011. Empirical results show that the inter-province inbound tourism economy is weakly auto-related, and the inter-province inbound tourism economic differences are dwindled first and enlarged afterward. By means of LISA time path analyses, this article finds that the local spatial structure of eastern coastal China tends to be more dynamic while the central and western regions are more stable. The longest three provinces of LISA time path are Beijing (3.804), Shanghai (3.625) and Tianjin (2.187) while the shortest three provinces are Shanxi (0.288), Ningxia (0.400) and Gansu (0.402). The maximum and minimum of the tortuosity of LISA time path are Hubei (16.816) and Zhejiang (1.171). Hubei has a most fluctuating local spatial dependence evolution in direction. According to the directional Moran scatter plot, the predominant direction involves downward moves of both a province and its neighbor. Following this are upward moves. Taking these together, there is striking evidence of strong spatial integration in evolution of spatial pattern of inbound tourism economy in China at the provincial level. According to the local Moran's I transition probability matrix and space-time transitions measures, the relative mobility of the local Moran transition matrices is relatively small. The frequency of type 0 transition is 0.987. This means that local inbound tourism economic structure and local spatial autocorrelation in China are very stable.

Key words: inbound tourism economy, space-time dynamics, ESDA, LISA time path, space-time transitions, spatial autocorrelation

中图分类号: 

  • F590