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1.新疆大学 旅游学院,新疆 乌鲁木齐 830046
2.新疆历史文化旅游可持续发展重点实验室,新疆 乌鲁木齐 830046
[ "曹开军,男,教授,博士生导师,主要从事旅游地理、旅游经济、生态旅游与旅游影响等方面的研究工作。现任新疆大学旅游学院旅游管理系主任,新疆维吾尔自治区专家顾问团专家库成员,西北大学学报(自然科学版)青年编委,中国地理学会会员。近5年主持国家级项目1项、省部级项目3项、厅局级项目1项,以第一作者或通信作者在Applied Geography、The Geographical Journal、Journal of Outdoor Recreation and Tourism、《地理科学》《经济地理》《人文地理》《长江流域资源与环境》《西北大学学报(自然科学版)》《世界地理研究》等国内外SSCI、CSSCI、CSCD核心期刊发表学术论文20余篇,入选“2024中国知网高被引学者”Top1%。2022年入选新疆大学优秀青年教师培育计划、2025年入选新疆大学首批“菁英学者A”,2019年和2023年两次获得新疆大学本科生“优秀指导教师”称号,2024年获得新疆大学“优秀研究生指导教师”称号。" ]
收稿:2025-06-25,
纸质出版:2025-12-25
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曹开军, 马玉玲. 中国旅游发展与城乡融合的协调效应及互动响应[J]. 西北大学学报(自然科学版), 2025,55(6):1375-1392.
CAO Kaijun, MA Yuling. Coordination effect and interactive response between the tourism development and urban-rural integration in China[J]. Journal of Northwest University (Natural Science Edition), 2025, 55(6): 1375-1392.
曹开军, 马玉玲. 中国旅游发展与城乡融合的协调效应及互动响应[J]. 西北大学学报(自然科学版), 2025,55(6):1375-1392. DOI: 10.16152/j.cnki.xdxbzr.2025-06-015.
CAO Kaijun, MA Yuling. Coordination effect and interactive response between the tourism development and urban-rural integration in China[J]. Journal of Northwest University (Natural Science Edition), 2025, 55(6): 1375-1392. DOI: 10.16152/j.cnki.xdxbzr.2025-06-015.
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: ① the 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. ② There 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. ③ Tourism development and urban-rural integration affect and link each other
showing a significant interactive response relationship.
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