| 中国省域旅游效率空间网络结构演化及其影响因素 |
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| 引用本文： | 王兆峰,刘庆芳.中国省域旅游效率空间网络结构演化及其影响因素[J].地理科学,2021,41(3):397-406. |
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| 作者姓名： | 王兆峰 刘庆芳 |
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| 作者单位： | 湖南师范大学旅游学院，湖南 长沙 410081 |
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| 基金项目： | 国家自然科学基金项目（41771162，41971188）、湖南省国内一流培育学科建设项目（5010002）资助 |
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| 摘 要： | 综合运用Super-DEA模型和社会网络分析法探究2011—2016年中国省域旅游效率空间网络结构演化特征及其成因。结果表明：① 2011—2016年中国省域旅游效率均值为0.739，总体呈现轻微下降态势，空间上大致呈现“东部>中部>东北部>西部”的分布特征。② 研究期内，中国省域旅游效率的空间关联网络呈现多线程、稠密化和复杂化的特征，空间网络结构尚不稳定；旅游效率网络密度有所下降，但仍呈现较为森严的网络等级结构。③ 广东、江苏和山东等省份在空间网络结构中掌控的优先权最大，扮演着领导者的角色；而海南省“偏居一隅”处在旅游生产要素传输的末端区位，与其他省份互联互通的能力孱弱；整体空间网络的“核心?边缘”结构趋向于组团式发展。④ 旅游投资水平、各省会间距离和信息化发展水平共同驱动着中国省域旅游效率空间网络结构的演进与优化。
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| 关 键 词： | 旅游产业 旅游效率 空间网络结构 社会网络分析 |
| 收稿时间： | 2019-09-10 |
The Evolution and Influencing Factors of Spatial Network Structure of China's Provincial Tourism Efficiency |
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| Wang Zhaofeng,Liu Qingfang.The Evolution and Influencing Factors of Spatial Network Structure of China's Provincial Tourism Efficiency[J].Scientia Geographica Sinica,2021,41(3):397-406. |
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| Authors: | Wang Zhaofeng Liu Qingfang |
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| Institution: | Tourism College of Hunan Normal University, Changsha 410081, Hunan, China |
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| Abstract: | This article explored the evolution characteristics and its causes regarding spatial network structure of China’s provincial tourism efficiency from 2011 to 2016 by applying Super-DEA model and social network analysis method comprehensively. The results show that: 1) From 2011 to 2016, the average value of China’s provincial tourism efficiency is 0.739, showing a slight decline as a whole, and the spatial distribution characteristic of ‘Eastern region>Central region>Northeastern region>Western region’ is roughly presented. 2) During the research period, the spatial correlation network of China’s provincial tourism efficiency is presented to be multi-threaded, dense and complicated, and the spatial network structure is not stable yet. The network density of tourism efficiency has decreased, but it still presents a rigid and hierarchical network structure. 3) Guangdong, Jiangsu and Shandong Provinces have the highest priority and play the role of leaders in the spatial network structure. However, Hainan Province is partial to a corner, which is at the end of the transmission of tourism production factors, and its connectivity with other provinces is weak. The core-periphery structure of the whole spatial network tends to be cohesive group. 4) Tourism investment level, the distance among capitals and informatization development level jointly drive the evolution and optimization of spatial network structure of China’s provincial tourism efficiency. |
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| Keywords: | tourism industry tourism efficiency spatial network structure social network analysis |
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