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中国旅游生态韧性空间关联网络结构及其驱动因素

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在生态文明建设的新时期,合理评估旅游生态系统是反映旅游产业是否彰显绿色动能及迈向可持续发展之路的重要表征,从"韧性"视角切入,能凸显旅游生态系统复合性及动态演化特征.本文以2011-2020年中国31省(自治区、直辖市)为研究对象,构建旅游生态韧性综合指标体系并测度其发展水平,借助修正引力模型测度空间关联强度,运用社会网络分析法对其空间关联网络结构及驱动因素进行分析.结果表明:①中国省际整体旅游生态韧性水平呈现稳态攀升的态势,区域上呈现"东部领衔,中西部追赶"的布局特征;空间关联网络呈现向复杂化、稠密化演化的过程,"东密西疏"的空间特征突出.②整体网络结构渐趋紧密,但尚未达到最佳空间关联状态;东部地在空间关联网络中处于核心主导地位,中西部部分地区处于空间网络结构的边缘地带.③苏、沪、京、津为"净受益"板块,浙、粤、闽充当"经纪人"角色,晋、冀等地区属于"双向溢出"板块,新、藏、贵、滇等地区属于"净溢出"板块.④环境规制力度、产业高级化、空间距离、经济水平、科技创新、对外开放差异均对中国旅游生态韧性空间关联效应发挥着正向作用,在多重效应叠加的背景下,旅游产业绿色动能持续彰显,关联特征愈发明显.上述结论回应了旅游可持续发展与生态文明建设高质量互动的学术关切,为提升旅游生态系统韧性并加强与其他地区的空间互动提供了重要导引.
Spatial correlation network structure and driving factors of tourism ecological resilience in China
In the contemporary context of ecological civilization construction,evaluating the tourism ecosystem is crucial for assessing the industry's progress toward sustainable development and its adoption of green practices.This study adopts a"resilience"perspective to underscore the complex and dynamic evolution of the tourism ecosystem.Focusing on the 31 provincial-level regions in China from 2011 to 2020,current research constructs a comprehensive index system to gauge the resilience of the tourism ecosystem.It assesses China's development level and examines its spatial correlation strength using a modified gravity model.Additionally,social network analysis is employed to elucidate the spatial correlation network structure and its driving factors.The findings reveal several key insights:(1)There is a consistent upward trend in the resilience level of China's provincial tourism ecosystems,with a regional pattern where the eastern region leads,and central and western regions follow.The spatial association network is becoming more complex and denser,particularly with more pronounced characteristics of density in the east and sparsity in the west.(2)While the overall network structure is increasingly integrated,it has not yet achieved an optimal state of spatial correlation.The eastern region holds a dominant position in the spatial correlation network,whereas some central and western areas remain on the periphery.(3)Specific regional roles are identified:Jiangsu,Shanghai,Beijing,and Tianjin emerge as"net benefit"areas,Zhejiang Guangdong and Fujian serve as"brokers",and regions like Shanxi and Hebei are characterized by"two-way spillover".Conversely,Xinjiang,Xizang,Guizhou,and Yunnan are classified as"net spillover"areas.(4)The disparitiesin environmental regulation intensity,industrial upgrading,spatial distance,economic level,scientific and technological innovation,and opening to the outside world positively influence the spatial correlation effect of China's tourism ecological resilience.In the context of multiple effects superimposed,the green energy of tourism industry continues to manifest,and the correlation characteristics become more and more obvious.These conclusions address scholarly concerns regarding the symbiotic relationship between sustainable tourism development and ecological civilization construction.They offer significant guidance for enhancing the resilience of the tourism ecosystem and fortifying its spatial interactions with other regions.

tourism ecosystemtourism ecological resiliencespatial association networksocial network analysisdriving factorsaction path

李志远、冯学钢、何静、左文俊

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华东师范大学经济与管理学院,上海 200062

乌拉尔联邦大学高等经济与管理学院,俄罗斯叶卡捷琳堡 620002

旅游生态系统 旅游生态韧性 空间关联网络 社会网络分析 驱动因素 作用路径

国家社会科学基金重大项目

19ZD25

2024

地理研究
中国科学院地理科学与资源研究所

地理研究

CSTPCDCSSCICHSSCD北大核心
影响因子:2.214
ISSN:1000-0585
年,卷(期):2024.43(5)
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