摘要
文章以长江经济带130个空间单元为研究对象,借助随机前沿模型、探索性空间数据分析及空间面板杜宾模型等方法,探究了2000—2015年长江经济带旅游金融效率时空格局特征,并在空间关联检验基础上分析了旅游金融效率的空间效应。结果表明:①时间序列上,长江经济带旅游金融效率核密度曲线均为单峰分布形式,呈“N”字型波动特征,旅游金融效率随时间推进而不断提升;空间格局上,区域中心城市的旅游金融效率多为高层级,中心城市邻近地区因受到核心城市涓滴效应而处于较高层级,圈层状结构明显。②旅游金融效率值存在明显空间依赖性,且其集聚程度整体上随时间推进不断增强,具有明显的空间指向性特征。③经济发展、交通可达性和产业结构对本地旅游金融效率提升具有显著正向效应;而信息化水平对邻近区域旅游金融效率提升的“溢出红利”效应显著,交通可达性对邻近地区旅游要素的“虹吸”大于“溢出”,呈现负向外部经济性。
Taking 130 spatial units in the Yangtze River Economic Belt as the research object,this paper explores the spatial and temporal pattern of tourism financial efficiency in the Yangtze River Economic Belt from 2000 to 2015 by means of stochastic frontier model,exploratory spatial data analysis and spatial panel Dubin model.Based on the spatial correlation test,the spatial effect of tourism financial efficiency is analyzed.The results show that:1)In the time series,the nuclear density curves of tourism financial efficiency in the Yangtze River Economic Belt are all unimodal distribution patterns,showing the"N"-shaped fluctuation characteristics,and the tourism financial efficiency is improving with the advancement of time;In the spatial pattern,tourism financial efficiency of the central cities in the economic zone is mostly high-level in the Yangtze River Economic Belt,and the neighboring areas of the central city are at a higher level due to the trickle effect of the core cities,and the layered structure is obvious.2)There is a significant spatial dependence on the tourism financial efficiency value of the Yangtze River Economic Belt,and the degree of agglomeration as a whole continues to increase over time,with obvious spatial directional characteristics.3)Economic development,traffic accessibility and industrial structure have a significant positive effect on the efficiency of local tourism finance,while the level of informatization has a significant effect on the"overflow bonus"of tourism finance efficiency improvement in neighboring regions.However,traffic accessibility to neighboring regions the"siphon"of tourism elements is greater than"spill"and presents negative external economics.
作者
穆学青
郭向阳
明庆忠
MU Xueqing;GUO Xiangyang;MING Qingzhong(College of Tourism and Geography,Yunnan Normal University,Kunming 650500,Yunnan,China;School of Geographical Sciences,Nanjing Normal University,Nanjing 210023,Jiangsu,China;Institute of Tourism and Culture Industry,Yunnan University of Finance and Economics,Kunming 650221,Yunnan,China)
出处
《经济地理》
CSSCI
CSCD
北大核心
2020年第6期214-223,共10页
Economic Geography
基金
国家自然科学基金项目(41671147、41961021)
云南省社科联智库重大课题(SHZK2019104)
云南省重大招标项目(ZDZB201802)
云南哲社基地重点项目(JD2017ZD02)。
关键词
旅游金融效率
随机前沿模型
时空格局
空间面板杜宾模型
长江经济带
tourism financial efficiency
stochastic frontier model
space-time pattern
spatial panel Dubin model
Yangtze River Economic Belt