中国旅游产业结构变迁及空间网络演进

Evolution of Tourism Industrial Structure and Spatial Network in China

空间联动与区域协作对实现旅游产业结构调整、优化与升级具有重要现实意义。以2006-2018年中国内地31个省域旅游产业结构水平为面板数据样本,运用探索性空间分析技术考察中国旅游产业结构的空间关联及其演化规律,采用社会网络分析方法揭示中国旅游产业结构的整体网络关联、个体网络特征及空间传导机制。研究表明:中国旅游产业结构变迁过程中具有较为显著的空间关联性和空间依赖性,并呈现出阶段性演化规律;旅游产业结构空间关联网络较为稳定,东部省域在整体网络中的影响力较高,中、西部省域处于从属地位;旅游产业结构聚类板块内关联性较强,但板块间尚未形成显著的空间传导与联动效应。

Spatial linkage and regional coordination have great significance on the adjustment,optimization and upgrading of tourism industrial structure.In this paper,we have adopted exploratory spatial data analysis technology,including spatial autocorrelation analysis of global Moran′s I and LISA,to clarify the spatial correlation and evolution characteristics of China′s tourism industrial structure based on the panel data of tourism industrial structure indexes of 31 provinces in China from 2006 to 2018.And then the social network analysis theory is used to reveal the overall network correlation characteristics,individual network characteristics of China′s tourism industrial structure and its transmission mechanism.The result shows that China′s tourism industrial structure has the characteristics of periodic spatial correlation and dependence.And the spatial correlation network is relatively stable.The eastern provinces have the higher influence on the spatial network,while the central and western provinces are subordinate.There is a strong correlation within a tourism industrial structure section,and there is no significant spatial conduction and linkage effect between sections.