自然资源学报 ›› 2019, Vol. 34 ›› Issue (9): 1945-1961.doi: 10.31497/zrzyxb.20190911

• 资源经济 • 上一篇    下一篇

长江经济带旅游生态效率时空演变及其与旅游经济互动响应

王兆峰, 刘庆芳   

  1. 湖南师范大学旅游学院,长沙 410081
  • 收稿日期:2019-02-21 修回日期:2019-06-10 出版日期:2019-09-28 发布日期:2019-09-28
  • 作者简介:王兆峰(1965- ),男,湖南桑植人,博士,教授,博士生导师,主要从事旅游地理研究。E-mail: jdwzf@126.com
  • 基金资助:
    国家自然科学基金项目(41771162)

The spatio-temporal evolution of tourism eco-efficiency in the Yangtze River Economic Belt and its interactive response with tourism economy

WANG Zhao-feng, LIU Qing-fang   

  1. Tourism College of Hunan Normal University, Changsha 410081, China
  • Received:2019-02-21 Revised:2019-06-10 Online:2019-09-28 Published:2019-09-28

摘要: 运用基于非期望产出的Super-SBM模型测度长江经济带旅游生态效率,综合运用标准差椭圆、重心模型等方法勾勒旅游生态效率时空演变轨迹,借助VAR模型探讨旅游生态效率与旅游经济发展水平间的互动响应关系。结果表明:长江经济带旅游生态效率整体处于中等效率阶段,呈动态上升趋势,且表现出“东部>西部>中部”的空间分布格局;旅游生态效率形成“低低集聚、高高集聚”式的“俱乐部收敛”型“双峰”格局,向西北方向移动趋势明显;东部和中部旅游生态效率与旅游经济发展水平的脉冲响应最终趋于平稳,西部地区响应程度偏弱;旅游经济发展水平对旅游生态效率的贡献率随时间发展趋于升高,旅游生态效率对旅游经济发展水平的贡献程度随时间发展逐步降低。

关键词: 旅游生态效率, 互动响应, 长江经济带, 旅游经济, Super-SBM模型

Abstract: Tourism eco-efficiency is an important index to measure the coordination degree of regional human-land system and sustainable development level. Firstly, the Super-SBM model of non-expected output is used to measure the tourism eco-efficiency of 11 provincial-level areas in the Yangtze River Economic Belt from 2007 to 2016. Secondly, by means of non-parametric kernel density estimation, standard deviation ellipse and gravity center model, the spatio-temporal evolution trajectory of tourism eco-efficiency in the economic belt is described. Finally, VAR model is applied to explore the interactive response relationship between tourism eco-efficiency and tourism economic development level. The results show that: (1) The tourism eco-efficiency of the Yangtze River Economic Belt is generally in the stage of medium efficiency and tends to increase with time. Specifically, the tourism eco-efficiency in the eastern region fluctuates in an "M" pattern and decreases on the whole, while the tourism eco-efficiency in the central and western regions shows a fluctuated increase. On the provincial level, the tourism eco-efficiency in Shanghai (1.787), Guizhou (1.616), Jiangsu (1.325) and Chongqing (1.051) are in the stage of high efficiency, while that in Zhejiang (0.319), Anhui (0.451), Hubei (0.404), Hunan (0.310) and Yunnan (0.400) are in the stage of low efficiency. (2) During the research period, the tourism eco-efficiency in the Yangtze River Economic Belt presents a trend of "double peaks" from left to right and from high to low as a whole. With the elapse of time, the center of density function moves to the right, and the characteristics of "double peaks" become more and more obvious, basically forming a pattern of "double peaks" and "club convergence" phenomenon of "low concentration and high agglomeration". The growth trend of tourism eco-efficiency is obvious, and the regional differences is gradually narrowed. The overall tourism eco-efficiency shows a movement trend from southeast to northwest in the spatial distribution. (3) The impulse response of the tourism eco-efficiency and the tourism economic development level in the eastern and central regions fluctuated in the early stage and then tended to be stable, while the response of the two in the western region was not significant. At the end of the study, the impulse response of the tourism eco-efficiency and the tourism economic development level in Guizhou shows a significant response. The results of variance decomposition show that the contribution rate of the tourism economic development level to the tourism eco-efficiency in the eastern, central and western regions increases gradually with the development of time, and the contribution rate of the tourism eco-efficiency to the tourism economic development level decreases gradually with the elapse of time.

Key words: tourism economic, Super-SBM model, interactive response, tourism eco-efficiency, the Yangtze River Economic Belt