期刊文献+

中国旅游生态效率的空间关联网络结构及其影响因素研究 被引量:32

Research on spatial correlation network structure of China’s tourism eco-efficiency and its influencing factors
下载PDF
导出
摘要 科学把握旅游生态效率的空间关联网络结构,不仅是落实生态文明体制改革的客观要求,也是实现旅游可持续发展的必然途径。以2008-2017年中国31省(市、自治区)为研究对象,采用Super-SBM模型对31省市的旅游生态效率进行测度,再基于社会网络分析法,引进修正的旅游生态效率空间网络模型,进一步对中国旅游生态效率的空间关联网络结构特征、机制及其影响因素进行深入探讨。结论表明:(1)研究期内,中国旅游生态效率整体网络结构关联强度不高,但呈上升趋势;整体网络关联性也不断增强,结构趋于稳健。(2)东部沿海发达省份在网络结构中处于中心位置,起着关键的"桥梁"作用;而东北及西北省份在网络结构中处于边缘地位。(3)产业结构、对外开放程度、经济发展水平、技术创新及空间邻接关系等因素对中国旅游生态效率空间关联均具有显著影响,其中空间邻接关系与对外开放程度对其影响最大。最后提出了促进中国旅游生态效率提高和各区域联动协作的针对性建议。 The scientific grasp of the spatial correlation network structure of tourism ecological efficiency is not only an objective requirement for implementing the reform of the ecological civilization system,but also an inevitable way to realize the sustainable development of tourism.Taking the 31 provinces(municipalities and autonomous regions)of China as the research object from 2008 to 2017,the Super-SBM model was used to measure the tourism eco-efficiency of the 31 provinces and cities.Based on the social network analysis method,a modified spatial network model of tourism eco-efficiency was introduced.The structural characteristics,mechanism and influencing factors of the spatial association network of China’s tourism ecological efficiency were further explored.The results are as follows.(1)During the study period,the overall network structure of China’s tourism eco-efficiency was not highly correlated,but it was on the rise;the overall network correlation was also continuously strengthened,and the structure became stable.(2)The developed eastern coastal provinces are at the center of the network structure and play a key‘bridge’role;the northeast and northwestern provinces are in marginal position in the network structure.(3)Factors such as industrial structure,degree of opening up,level of economic development,technological innovation,and spatial adjacency have a significant impact on the spatial correlation of China’s tourism eco-efficiency.Among them,spatial adjacency and the degree of openness have the greatest impact on it.Finally,it puts forward specific suggestions to promote the improvement of China’s tourism ecological efficiency and regional cooperation.
作者 程慧 徐琼 赵梦亚 CHENG Hui;XU Qiong;ZHAO Mengya(College of Tourism,Hunan Normal University,Changsha 410081,China;School of Business,Center South University,Changsha 410083,China)
出处 《生态科学》 CSCD 2020年第5期169-178,共10页 Ecological Science
基金 国家社会科学基金青年项目(19CGL030)。
关键词 旅游生态效率 空间关联网络结构 社会网络分析 影响因素 tourism eco-efficiency spatial association network structure social network analysis influencing factors
  • 相关文献

参考文献22

二级参考文献339

共引文献1278

同被引文献544

引证文献32

二级引证文献236

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部