中国入境旅游流集散优势度与旅游经济效率的时空耦合分析

SPATIOTEMPORAL COUPLING ANALYSIS OF CHINA’S INBOUND TOURISM DISTRIBUTIVE SUPERIORITY AND TOURISM ECONOMIC EFFICIENCY

以中国31个省市为研究对象,在构建入境旅游流集散优势度与旅游经济效率耦合协调模型基础上,分析2000年、2005年、2010年、2016年全国各省市入境旅游"势—效"耦合协调度等级、耦合协调类型及其时空演化路径。研究表明:全国"势—效"耦合协调度整体水平有所下降,协调等级为中级协调。北京、上海、广东、陕西为优质协调省市,呈散点状分布;青海、甘肃、新疆、宁夏为轻度失调或严重失调省市;各省"势—效"耦合协调类型呈现出差异化的时间演化路径,以中短距离的反向迁移为主,迁移类型主要包括:HH_(t)→LH_(t+1)、HL_(t)→HH_(t+1)、LH_(t)→LL_(t+1)和LL_(t)→LH_(t+1)。

From the perspective of the coupling of tourist demand and regional economic supply,this paper explores the spatial relationship between distributive superiority and economic efficiency,so as to deepen the theory and practice of regional tourism organization and optimization.Taking China’s provincial inbound tourism flow as the research object,this paper first constructed a coupling coordination model of distribution superiority and tourism economic efficiency.Then analyzed the coupling coordination degree level,coupling coordination type and spatiotemporal evolution path of"superiority and efficiency"of each province in 2000,2005,2010 and 2016.The results show that:1)The regional differences between the distribution superiority of inbound tourism flow and the tourism economic efficiency have undergone drastic adjustment.2)In terms of spatial structure,the former changes from U-shaped structure to scatter structure,while the latter tends to form a S-shaped pattern.3)The overall level of"superiority and efficiency"coupling coordination degree in China has declined,and the coordination level is intermediate coordination.4)The"superiority and efficiency"coupling coordination type is constantly transforming,showing a differentiated time evolution path.This study deeply explores the spatial coupling relationship between inbound tourism flow system and regional tourism economic system,which lays a foundation for exploring the driving mechanism and optimization mode behind the change of their spatial pattern;the quantitative method of coupling coordination type and time path provides a powerful tool for dissecting the dynamic collaborative relationship.The combined intervention strategy should be taken to improve the impact of environment on public health.