首页 | 本学科首页   官方微博 | 高级检索  
     检索      

中国旅游业碳排放效率及其空间关联特征
引用本文:王凯,邵海琴,周婷婷,刘浩龙.中国旅游业碳排放效率及其空间关联特征[J].长江流域资源与环境,2018,27(3):473-482.
作者姓名:王凯  邵海琴  周婷婷  刘浩龙
作者单位:(1.湖南师范大学旅游学院,湖南 长沙410081;2. 中国科学院地理科学与资源研究所,北京100101)
基金项目:湖南省教育厅科学研究重点项目(14A088),国家自然科学基金项目(41201135)
摘    要:科学测度与分析中国旅游业碳排放效率及其空间关联特征,对于推动旅游业可持续发展具有重要意义。借助SBM模型测算2000~2015年中国省际旅游业碳排放效率,并运用Kernel密度估计法刻画其动态演进过程。结果发现:中国旅游业碳排放效率存在显著的区域差异性,东高西低是发展常态,且目前多数省区仍处于非效率水平;核密度曲线显示我国旅游业碳排放效率处于增长态势,随着时间推进呈现由“单峰”到“三峰”再到“双峰”分布的动态演进过程,面临着发展不协调的问题。最后,构建空间Durbin模型探讨中国省域旅游业碳排放效率的空间关联特征,结果表明各省旅游业碳排放效率存在显著的空间溢出效应,一省的旅游业碳排放效率不仅受本省自身特点的影响,还与其邻近省区的发展情况相关联,具体表现为:各省旅游业技术水平、经济发展水平、产业结构和对外开放程度显著促进本省及邻近省的旅游业碳排放效率;旅游业产权结构对本省的旅游业碳排放效率有显著负向影响,但对邻近省的影响不明显;旅游业经济规模和城市化水平对邻近省旅游业碳排放效率产生负外部性;受教育程度对旅游业碳排放效率的作用不显著。 关键词: 旅游业碳排放效率;SBM模型;Kernel密度估计;空间Durbin模型;中国

关 键 词:旅游业碳排放效率  SBM模型  Kernel密度估计  空间Durbin模型  中国  carbon  emissions  efficiency  of  tourism  SBM  model  kernel  density  estimation  spatial  Durbin  model  China

A Study on Carbon Emissions Efficiency of Tourism and Its Spatial Correlation Characteristics in China
WANG Kai,SHAO Hai-qin,ZHOU Ting-ting,LIU hao-long.A Study on Carbon Emissions Efficiency of Tourism and Its Spatial Correlation Characteristics in China[J].Resources and Environment in the Yangtza Basin,2018,27(3):473-482.
Authors:WANG Kai  SHAO Hai-qin  ZHOU Ting-ting  LIU hao-long
Institution:(1. Tourism College of Hunan Normal University, Changsha 410081, China; 2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China);
Abstract:It is of great significance to measure and analyze China's carbon emissions efficiency of tourism and its spatial heterogeneity scientifically to promote the sustainable development of tourism.This paper estimate the carbon emissions efficiency of tourism of 30 provinces in mainland China from 2000 to 2015 by using the SlackBased Measure (SBM) considering the unexpected output.On this basis,the method of the non-parametric Kernel density estimation is applied to characterize the dynamic evolution of carbon emissions efficiency of tourism.The results found that there are obvious differences of carbon emissions efficiency of tourism among the 30 regions in China,and it is normal to see that the carbon emissions efficiency of tourism of the eastern region is higher than that of the western region.However,most of provinces are still in the state of carbon emissions inefficiency of tourism.Furthermore,the density curve reveals that an increasing trend of China's carbon emissions efficiency of tourism is emerged as the time went by,and the distribution of carbon emissions efficiency of tourism changed from " single peak" to "three peaks" to "twin peak" over time,facing the problem of uncoordinated development;Besides,the spatial Durbin model is used to study the spatial correlation characteristics of carbon emissions efficiency of tourism among each provinces.Results show that the carbon emissions efficiency of tourism has apparent spatial spillover effects,that is to say,Not only is the carbon emissions efficiency of tourism affected by its own characteristics of each province,but also it is relevant to the development of the surrounding provinces.Specifically,the level of tourism technology,the level of economic development,the industrial structure and the degree of openess exert significantly positive impact on the tourism carbon emissions efficiency of both its own province and the surrounding provinces,The property right structure of tourism has a significant negative impact on the province's own carbon emissions efficiency of tourism,while the impact on that of the surrounding provinces is not obvious.The tourism economy scale and the urbanization level have a negative external influence on the carbon emissions efficiency of tourism,but the effect of education on the carbon emissions efficiency of tourism is not significant.
Keywords:
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《长江流域资源与环境》浏览原始摘要信息
点击此处可从《长江流域资源与环境》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号