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作 者:樊玲玲 侯志强[1] 施亚岚[1] 曹咪 FAN Ling-ling;HOU Zhi-qiang;SHI Ya-lan;CAO Mi(Tourism College,Huaqiao University,Quanzhou 362021,China)
出 处:《资源开发与市场》2021年第8期984-990,997,共8页Resource Development & Market
基 金:国家自然科学基金青年项目“有意使用的全生命周期砷物质流路径及优化机制研究”(编号:41807467);福建省社会科学规划项目“福建省低碳旅游社区建设标准及路径研究”(编号:FJ2018C006);福建省社会科学规划项目“资源环境约束下福建省新型城镇化测度与异质性研究”(编号:FJ2019B135)。
摘 要:基于2007—2018年我国173个优秀旅游城市的旅游投入产出数据,运用SBM模型对旅游效率进行测算,并利用ArcGIS10.2和空间计量模型进一步揭示了旅游效率的时空演变特征及其空间效应。结果表明:①我国旅游效率整体偏低,呈波动变化态势,且效率增长动力主要源于规模效率。②旅游效率具有明显空间依赖性,空间集聚性不断增强,呈“大分散、小集聚”特征,以高—高集聚和低—低集聚类型为主,且高水平集聚区呈西移趋势,低水平集聚区空间变化不明显。③旅游效率存在空间溢出效应,经济发展水平、政府政策和产业结构是影响旅游效率的主要因素。Based on the tourism input and output data of 174 excellent tourism cities in China from 2007 to 2018,this paper used the DEA model to measure tourism efficiency.This paper used ArcGIS 10.2 and spatial measurement models to reveal the temporal and spatial evolution characteristics of tourism efficiency and its spatial effects.The results showed that:(1)The overall tourism efficiency of excellent tourism cities was low,showing a fluctuating trend,and the efficiency growth momentum mainly comes from scale efficiency.(2)Tourism efficiency had obvious spatial dependence,and the spatial agglomeration continued to increase,showing the characteristics of “large dispersion and small agglomeration".The spatial distribution of tourism efficiency was dominated by the types of high-high agglomeration and low-low agglomeration,and the high-level agglomeration areas tended to move westward,while the low-level agglomeration areas had little spatial changes.(3)There was a spatial spillover effect in tourism efficiency,the level of economic development,government policies,and industrial structure were the main factors influencing tourism efficiency.
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