长江流域资源与环境 >> 2022, Vol. 31 >> Issue (4): 750-758.doi: 10.11870/cjlyzyyhj202204003

• 区域可持续发展 • 上一篇    下一篇

环境规制对旅游生态效率影响的时空异质性研究——以长江三角洲城市群为例

王梓瑛,王兆峰*   

  1. (湖南师范大学旅游学院,湖南 长沙 410081)
  • 出版日期:2022-04-20 发布日期:2022-04-21

A Study on Spatial-temporal Heterogeneity of Environmental Regulation on Tourism Eco-efficiency:Taking Yangtze River Delta Urban Agglomeration as an Example

WANG Zi-ying,WANG Zhao-feng   

  1. (College of Tourism, Hunan Normal University, Changsha 410081, China)
  • Online:2022-04-20 Published:2022-04-21

摘要: 在绿色发展背景下,政府如何适度运用环境规制工具,处理好旅游产业发展与生态环境保护间的关系是当前研究的热点问题。通过构建区域环境规制与旅游生态效率评价指标体系,运用熵值赋权法、超效率SBM模型,测算得到2007~2017年长江三角洲城市群环境规制与旅游生态效率值,在此基础上基于自然断点法分析两者的空间格局演化情况,而后建立面板模型,采用系统广义矩估计从时间和空间两个维度分析环境规制对旅游生态效率的影响。具体结论如下:(1)城市群总体环境治理力度有所增强,区域差异逐渐缩小。从空间分布来看,其空间格局变动较大,表现在高规制强度地区由城市群中部逐渐向东西部边缘地区进行转移。(2)城市群旅游生态效率水平整体不高,呈先降后升的趋势,空间差异先扩大后缩小。旅游生态效率逐渐形成中部地区高效率组团状集聚的空间分布形态。(3)城市群环境规制与旅游生态效率为显著的负相关关系,但随着滞后阶数的增加,环境规制对旅游产业绿色发展的不利影响正逐渐减弱。从空间维度上看,城市群内部各城市环境规制对效率的影响存在显著差异。其中,受环境规制正向影响的城市较少,主要分布在城市群中部地区。

Abstract: Under the background of green development, the way to make appropriate use of environmental regulation tools to deal with the relationship between tourism industry development and ecological environment protection is a hot issue in current research.By constructing the evaluation index system of regional environmental regulation and tourism ecological efficiency, using entropy weighting method and super efficiency SBM model, this paper calculates the value of environmental regulation and tourism ecological efficiency of urban agglomeration in the Yangtze River Delta from 2007 to 2017. On this basis, based on the natural breakpoint method, this paper analyzes the spatial pattern evolution of the two, then establishes a panel model, and uses the system generalized moment estimation to analyze the impact of environmental regulation on tourism ecological efficiency from the two dimensions of time and space.The conclusions are as follows:(1)The overall environmental governance of urban agglomerations has been strengthened, and the regional differences have gradually narrowed. From the perspective of spatial distribution, the spatial pattern changes greatly, which is reflected in the transfer and upgrading of high regulatory intensity areas from the central to the eastern and western marginal areas;(2)The overall level of tourism ecological efficiency of urban agglomerations is not high, showing a trend of first falling and then rising, and the spatial differences first expand and then narrow. Efficiency gradually forms the spatial distribution pattern of high-efficiency cluster cluster in the central of urban agglomeration;(3)There is a significant negative correlation between environmental regulation and tourism ecological efficiency in urban agglomeration, but with the increase of lag order, the negative impact of environmental regulation on green development of tourism industry is gradually weakening. From the spatial dimension, there are significant differences in the impact of urban environmental regulations on efficiency. Among them, the cities which are positively affected by environmental regulations are less and mainly distributed in the central area of urban agglomeration.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 罗能生, 王玉泽.彭郁, 李建明. 长江中游城市群生态效率的空间关系及其协同提升机制研究[J]. 长江流域资源与环境, 2018, 27(07): 1349 .
[2] 张梦薇, 吕成文. 丰乐河流域表层土壤有机碳空间变异特征研究[J]. 长江流域资源与环境, 2018, 27(07): 1420 .
[3] 韦汝虹, 金 李, 方 达. 基于GIS的中国城市房地产泡沫的空间传染性分析——以2006~2014年35个大中城市为例[J]. 长江流域资源与环境, 2018, 27(09): 1967 -1977 .
[4] 张丽琴, 渠丽萍, 吕春艳, 李 玲. 基于空间格局视角的武汉市土地生态系统服务价值研究[J]. 长江流域资源与环境, 2018, 27(09): 1988 -1997 .
[5] 田雨 周宝同 付伟 王蓉. 2000-2015年山地城市土地利用景观格局动态演变研究—以重庆市渝北区为例[J]. 长江流域资源与环境, , (): 0 .
[6] 曾源源, 胡守庚, 瞿诗进, . 长江中游经济带交通区位条件变化与建设用地扩张时空耦合规律[J]. 长江流域资源与环境, 2018, 27(12): 2651 -2662 .
[7] 梁辉 王春凯. 201904产业发展对城市蔓延影响的差异性分析—以长江经济带104个城市为例[J]. 长江流域资源与环境, , (): 0 .
[8] 杨远琴, 任 平, 洪步庭, . 基于生态安全的三峡库区重庆段土地利用冲突识别[J]. 长江流域资源与环境, 2019, 28(02): 322 -332 .
[9] 王 倩, 王云琦, 马 超, 王 彬, 李一凡. 缙云山针阔混交林碳通量变化特征及影响因子研究[J]. 长江流域资源与环境, 2019, 28(03): 565 -576 .
[10] 卢德彬, 毛婉柳, 杨东阳, 赵佳楠. 基于多源遥感数据的中国PM2.5变化趋势与影响因素分析[J]. 长江流域资源与环境, 2019, 28(03): 651 -660 .