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作 者:樊玲玲 侯志强[1] 曹咪 施亚岚[1] FAN Ling-ling;HOU Zhi-qiang;CAO Mi;SHI Ya-lan(College of Tourism,Huaqiao University,Quanzhou 362000;Nanchong Vocational College of Culture and Tourism,Nanchong 637000,China)
机构地区:[1]华侨大学旅游学院,福建泉州362000 [2]南充文化旅游职业学院,四川南充637000
出 处:《地理与地理信息科学》2022年第2期121-128,共8页Geography and Geo-Information Science
基 金:国家自然科学基金青年项目(41807467);福建省社会科学规划项目(FJ2018C006);福建省社会科学规划一般项目(FJ2019B135)。
摘 要:基于2007-2018年中国172个旅游城市面板数据,构建旅游全要素生产率指标体系并进行测算,在此基础上开展Kernel密度估计分析、收敛性分析,同时将空间因素引入经典β收敛检验,并分区域进行讨论。研究发现:1)全国旅游全要素生产率呈波动增长态势且空间差异特征明显,表现为“单峰”分布特征;整体旅游全要素生产率仍具改善空间,技术效率贡献作用需进一步提升。2)旅游全要素生产率存在明显β收敛,低值区对高值区表现为“追赶效应”,且各区域旅游全要素生产率呈趋同的稳态发展;空间因素加速旅游全要素生产率的收敛效应,旅游全要素生产率空间差异随时间推移呈缩小趋势。3)区域旅游全要素生产率经典收敛和空间收敛异质性明显,西部、东部、中部收敛速度依次递减;空间收敛速度大于经典收敛速度,受制于区域间差异化的经济发展水平、产业结构和对外开放水平等。Based on panel data of prefecture-level tourism cities in China from 2007 to 2018,the tourism total factor productivity(TTFP)in 172 tourism cities was measured by constructing an indicator system of TTFP.Based on this,Kernel density estimation analysis and convergence analysis were carried out.At the same time,the spatial factors were introduced into the classicalβconvergence test and discussed in various regions.It is found as follows.1)TTFP in China shows a fluctuating growth trend and the spatial difference is obvious,showing a single-peak distribution characteristic.Overall TTFP still has room for improvement,and the contribution of technological efficiency needs to be further enhanced.2)TTFP has obviousβconvergence,it shows the"catch-up effect"of the low-value region to the high-value region,and TTFP in all regions tends to be the same steady development.Spatial factors accelerate the convergence effect of TTFP,and the spatial difference of TTFP decreases with time.3)The classical convergence and spatial convergence of regional TTFP have obvious heterogeneity,and the convergence rate decreases in the west,east and central regions.The spatial convergence rate is higher than the classical convergence rate,which is subject to the regional differentiation of economic development level,industrial structure and opening level.
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