中国入境旅游经济空间格局的时空动态性  

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

作　　者：郭永锐[1] 张捷[1] 卢韶婧[1] 吴荣华[1] 

机构地区：[1]南京大学地理与海洋科学学院,江苏南京210023

出　　处：《地理科学》2014年第11期1299-1304,共6页Scientia Geographica Sinica

基　　金：国家自然科学基金(41171121;40371030)资助

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。The importance of space to many socioeconomic processes has been gaining attentions and recogni- tion. The spatial effect in regional differences studies is now an important theme in the literature. But, both spa- tial and temporal attributes of data are important, existing approaches focused primarily on one of these attri- butes. 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 an- alyzed the space-time dynamics of the inbound tourism economic development in China, measured by the for- eign 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 tormosity of LISA time path are Hubei （16.816） and Zhejiang （1.171）. Hubei has a most fluctuating local spatial dependence evolution in di- rection. 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

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 

分 类 号：F590[经济管理—旅游管理]