摘要
探究旅游发展与城乡融合的协调效应及其互动响应关系,对构建城乡互促共荣、和谐共生的一体化发展格局具有重要的理论意义和实践价值。文章采用熵值法对2010—2022年中国31个省份的旅游发展和城乡融合水平进行测度,运用耦合模型探究两系统的协调效应,并借助核密度估计和探索性时空数据分析揭示两系统耦合协调水平的时空动态特征,在此基础上运用面板向量自回归模型分析两系统的互动响应关系。研究发现:①旅游发展与城乡融合的耦合协调水平随时间推移有所提高,不存在极化现象,两系统耦合协调水平呈现“东部>中部>西部”的空间分布格局,存在较强的非均衡性和空间溢出效应;②两系统耦合协调水平存在显著的空间正相关性,空间集聚态势随时间推移逐渐减弱,局部空间结构和依赖方向较为稳定,呈现显著的转移惰性与路径依赖特征;③旅游发展与城乡融合之间相互影响、相互联系,呈现出显著的互动响应关系。
Exploring the coordination effect and interactive response between tourism development and urban-rural integration holds significant theoretical and practical value for establishing an integrated development pattern where urban and rural areas mutually promote each other's prosperity and coexist harmoniously.The entropy method is used to measure the level of tourism development and urban-rural integration in 31 provinces in China from 2010 to 2022,the coupling model is used to explore the coordination effect of the two systems,and the kernel density estimation and exploratory spatial-temporal data analysis(ESTDA)are used to reveal the spatial-temporal dynamics of the level of the two systems’coupling and coordination.On this basis,the panel vector autoregression(PVAR)model is used to analyze the interactive response relationship between the two systems.The study found that:①the coupling and coordination level of tourism development and urban-rural integration has improved over time,and there is no polarization phenomenon.The level of coupling and coordination between the two systems shows a spatial distribution pattern of"east>central>west",with strong non-equilibrium and spatial spillover effects.②There is a significant positive spatial correlation between the coupling and coordination levels of the two systems,and the spatial agglomeration trend is gradually weakened over time;the local spatial structure and direction of dependence are relatively stable,presenting significant transfer inertia and path dependence characteristics.③Tourism development and urban-rural integration affect and link each other,showing a significant interactive response relationship.
作者
曹开军
马玉玲
CAO Kaijun;MA Yuling(College of Tourism,Xinjiang University,Urumqi 830046,China;Key Laboratory of the Sustainable Development of Xinjiang s Historical and Cultural Tourism,Xinjiang University,Urumqi 830046,China)
出处
《西北大学学报(自然科学版)》
北大核心
2025年第6期1375-1392,共18页
Journal of Northwest University(Natural Science Edition)
基金
新疆维吾尔自治区自然科学基金(2024D01C20)
国家自然科学基金(42161036)。
关键词
旅游发展
城乡融合
互动响应
探索性时空数据分析
面板向量自回归模型
tourism development
urban-rural integration
interactive response
exploratory spatial temporal data analysis
panel vector autoregressive model
