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  

Study on the Spatial Correlation Structure of China's Tourism Economic and Its Effect:Based on Social Network Analysis

作　　者：王俊[1] 徐金海[1] 夏杰长[2] WANG Jun XU Jinhai XIA Jiechang(Graduate School of Chinese Academy of Social Science, Beijing 102488, China National Academy of Economic Strategy, Chinese Academy of Social Sciences, Beijing 100836, China)

机构地区：[1]中国社会科学院研究生院,北京102488 [2]中国社会科学院财经战略研究院,北京100836

出　　处：《旅游学刊》2017年第7期15-26,共12页Tourism Tribune

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~~

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。After the golden week holiday was implemented in 1999, Chinese tourism entered a period of high-speed development. Especially from 2004 onwards, the number of tourists and the total of tourism related revenue have increased by more than 18% on average per year. However, a typical imbalance has appeared behind such rapid development. The reasons are as follows： First, different provinces have different basic conditions for tourism development, such as the level of economic development, tourism resources, location and so on. The second is that the speed and efficiency of development in tourism vary in different provinces, as decided by the status of the tourism industry and the different industrial structure. The third one is the spatial correlation structure of tourism development, which was decided by the tourism spatial correlation, results in different status of the province in the overall network. Thus the level of tourism＇s economic development is affected. However, tourism scholars do not pay much attention to the data on the effect of spatial structure of the tourism economy. Based on the data of tourism＇s economic development between 2000 and 2015 in China, the method of social network analysis （SNA） and the modified gravity model were used to examine the characteristics of spatial correlation network and its effect on tourism economic development. The results show that： during the investigated period, network characteristics of China＇s tourism related economy is obvious; the number of relationship between provinces is rising rapidly with fluctuations and all provinces are indispensable in the overall network; with a pretty high-level network, there is still plenty of room for optimization; developed regions including Beijing, Tianjin, Shanghai, Zhejiang, Guangdong and Jiangsu are located in the center of the network; so its centrality is high; the regions with higher levels of economic development accepted more tourism economic overflow from other regions, the Matthew effect as it indicates

关 键 词：旅游经济发展 空间关联结构 社会网络分析 旅游产业专业化 

分 类 号：F592.7[经济管理—旅游管理]