基于社会网络分析法的中国省际入境旅游经济增长空间关联性

The Spatial Correlation of Economic Growth of Inbound Tourism in China Based on Social Network Analysis

收集1991~2014年有关数据,利用社会网络分析法、格兰杰因果关系检验,揭示中国省际入境旅游经济增长的空间关联特征及影响因素,结果发现:(1)入境旅游经济增长空间关联网络的关联度较高,但网络整体紧密度不够。(2)经济越发达的地区,个体网络密度越高,空间上呈现出阶梯式特征。(3)担任"发动机"的第二板块所含省市,将入境旅游经济增长"动能"沿发挥经纪人作用的第一板块所含省市,传递给第三、四板块所含省市。(4)入境旅游人数关联、旅游资源分布、经济发展关联、交通便捷度是影响入境旅游经济增长空间关联的重要因素。

This article collects data from 1991 to 2014 to analyze the spatial correlation of economic growth of inbound tourism in China by using the method of Granger Causality Test and Social Network Analysis. Then,we reveal its influencing factors based on QAP correlation and QAP regression. The results show that： 1） Spatial correlation of China＇s inbound tourism economical development is highly connected. There is no independent development area. It exists multiple superimposed effects, and spillovers have been greater than benefit.However, the network is not compact entirely, and connections are dispersive generally. 2） The province economy is more developed, the higher the density of individual network, and the more spatial associations with other provinces. Moreover, the correlations of some central and western regions have more connections and stronger mediating effects. 3） The network structure can be divided into four plates. The first plate is＂agent plate＂that plays a role of bridge and the second plate is＂main beneficial plates＂that acts as an engine in the integrated network. The third and the fourth plate are both belong to＂main beneficial plates＂. The transfer mechanism of spatial correlation is that the second plate conveys energy from the first plate to the third and the fourth plate. 4） Number of inbound tourists, distribution of tourism resources, economic development and traffic convenience are important factors of the spatial correlation of economic growth in China＇s inbound tourism.