中国区域旅游经济空间关联结构及其效应研究——基于社会网络分析

发布时间：2019-07-02 21:16

【摘要】：文章基于2000-2015年中国省域旅游经济发展数据,结合修正的万有引力模型和社会网络分析方法(SNA),实证分析了中国省际间旅游经济发展的空间关联网络结构特征及其效应。结果表明:在样本考察期内,中国旅游经济发展空间网络结构特征明显,省际间关联关系数总体在波动中呈上升趋势;中国省域旅游经济关联网络等级度较高,整体网络优化空间大;北京、天津、上海、浙江、广东、江苏等经济发达地区在网络中的中心度更强,作用更大;经济发展水平高的地区旅游经济发展水平越高,接受来自其他地区的旅游经济溢出越多,马太效应明显;从整体网络指标回归看,网络密度的提高、网络等级度的降低、网络效率的降低能显著缩小省际间旅游经济发展的相对差异,有效提升整体旅游产业专业化水平;从个体关联网络指标回归结果看,个体点度中心度、中介中心度和接近中心度的提高能有效提升各省(市)旅游产业专业化水平。据此,文章提出了未来省域旅游产业发展的相关建议。
[Abstract]:Based on the data of tourism economic development in China from 2000 to 2015, combined with the modified gravity model and social network analysis method (SNA), this paper empirically analyzes the characteristics and effects of spatial correlation network structure for the development of inter-provincial tourism economy in China. The results show that during the sample period, the spatial network structure of China's tourism economic development is obvious, and the number of inter-provincial correlation relations tends to rise in the fluctuation, the grade of tourism economic association network in China is higher, and the overall network optimization space is large. Beijing, Tianjin, Shanghai, Zhejiang, Guangdong, Jiangsu and other economically developed areas have stronger centrality and greater function in the network. The higher the level of tourism economic development in the areas with high level of economic development, the more spillover of tourism economy from other regions, the more Matthew effect is obvious. from the point of view of the regression of the overall network index, the improvement of network density, the decrease of network grade and the decrease of network efficiency can significantly reduce the relative differences in the development of tourism economy between provinces and effectively improve the specialization level of the whole tourism industry. According to the regression results of individual association network indexes, the improvement of individual point centrality, intermediary centrality and closeness centrality can effectively improve the specialization level of tourism industry in each province (city). Based on this, the paper puts forward some suggestions for the development of provincial tourism industry in the future.
【作者单位】：中国社会科学院研究生院;中国社会科学院财经战略研究院;
【基金】：国家社会科学基金青年项目“地方政府行为对旅游产业结构动态优化的作用机制研究”(16CGL023)资助~~
【分类号】：F592.7

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