长江流域资源与环境 >> 2024, Vol. 33 >> Issue (7): 1397-1411.doi: 10.11870/cjlyzyyhj202407003

• 区域可持续发展 • 上一篇    下一篇

长三角城市群一体化对旅游产业效率的空间溢出效应研究

王兆峰,邱梦真


  

  1. (湖南师范大学旅游学院,湖南 长沙 410081)

  • 出版日期:2024-07-20 发布日期:2024-07-18

Spatial Spillover Effects of Integrated Development on Tourism Industry Efficiency in the Yangtze River Delta Urban Agglomeration

WANG Zhao-feng, QIU Meng-zhen   

  1. (Tourism College of Hunan Normal University, Changsha 410081, China)
  • Online:2024-07-20 Published:2024-07-18

摘要:  客观审视区域一体化对旅游产业效率的作用,对推进长三角城市群经济社会高质量发展意义显著。采用熵值法与线性加权法、超效率SBM模型,依次测度2008~2020年长三角城市群的一体化发展水平与旅游产业效率,并借助空间杜宾模型揭示两者之间的内在关系和空间效应。研究发现:(1)区域一体化水平指数从2008年的0.304增长到2020年的0.490,整体呈现稳健上升趋向;空间上呈“东南高、西北低”态势,且具有显著的“高—高”“低—低”簇状集聚演化特征。(2)旅游产业效率值呈现小幅度波动下降态势,谷值出现在2020年;空间分布呈“东高西低,中部高—南北两翼低”的格局,高效率城市数量逐渐增加并向东南方向拓展。(3)区域一体化水平对旅游产业效率存在显著的空间溢出作用;政府调控、城镇化水平、信息化水平、交通便利程度、对外开放程度、科技发展水平对本地旅游产业效率均具有显著的直接促进作用;城镇化水平、信息化水平对邻地旅游产业效率具有正向溢出效应,政府调控、交通便利程度则表现出负向溢出效应。

Abstract: Objectively analyzing the impact of regional integration on tourism industry efficiency holds significant implications for promoting the high-quality economic and social development of the Yangtze River Delta urban agglomeration. The entropy method, linear weighting method, and super efficiency Data Envelopment Analysis SBM model were employed to measure the level of integrated development and tourism industry efficiency, from 2008 to 2020. The study also utilized the spatial Durbin model to reveal the underlying relationship and spatial effects between the two. The study found that: (1) The level of regional integration increased from 0.304 in 2008 to 0.490 in 2020, showing a robust upward trend. A "high-southeast, low-northwest" pattern was presented. The "high-high" and "low-low" cluster aggregation characteristics was evident. (2) The tourism industry efficiency value showed a slightly fluctuating downward trend, with the trough point appearing in 2020. The spatial distribution exhibited an "east high, west low, and middle-high with north-south low" pattern. The number of cities with high efficiency gradually increased and expanded to the southeast. (3) The level of regional integration had a significant spatial spillover effect on tourism industry efficiency. Government regulation, urbanization level, level of informationization, degree of transportation convenience, degree of openness, and level of technological development all had positive direct effects on local tourism industry efficiency. Urbanization level and level of informationization had positive spillover effects on neighboring tourism industry efficiency, while government regulation and transportation convenience exhibited negative spillover effects.

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