中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
How to Decouple Tourism Growth from Carbon Emissions? A Spatial Correlation Network Analysis in China

文献类型：期刊论文

作者Deng, Zhaoming3,5; Zhou, Meijing1,4; Xu, Qiong2
刊名SUSTAINABILITY
出版日期2022-10-01
卷号14期号:19页码:14
关键词tourism economic growth carbon emission decoupling theory spatial correlation network influencing factor social network analysis
DOI10.3390/su141911961
通讯作者Zhou, Meijing(0620221002@bipt.edu.cn) ; Xu, Qiong(201601032@csu.edu.cn)
英文摘要This research aims to analyze the spatial correlation network of the decoupling between tourism growth and carbon emissions in China's 31 provinces to promote the overall decoupling through regional cooperation. This study scientifically measures the decoupling index from 2009 to 2019 based on a "bottom-up" method and the Tapio decoupling model. It analyzes the spatial correlation network of the decoupling and its driving factors by using social network analysis. The conclusions show that the decoupling between China's tourism economic growth and carbon emissions was dominated by an expansive connection, which indicates a nonideal decoupling state. Among the regions, decoupling was stronger in the eastern provinces and weaker in the middle and western districts. The spatial correlation outside the plates was more significant, while the internal correlation was weaker. Beijing and Shanghai were in the center of the network, and the eastern developed provinces were in the subcentral place, both of which had more muscular control over the network. In contrast, the middle and western regions were on edge positions, playing passive roles in the network. In addition, the economic development level was the most vital driving force behind the spatial correlation, followed by spatial adjacency and government policy. In contrast, the industrial structure and technological level were negative influencing factors. These research findings indicate potential interprovincial cooperation in terms of tourism decarbonization, which provide a profound reference for the whole sustainable development of China's tourism industry.
WOS关键词ENERGY-CONSUMPTION ; ECONOMIC-GROWTH ; ECO-EFFICIENCY ; CO2 EMISSIONS ; SECTOR ; FOOTPRINT ; PATTERNS ; OUTPUT
资助项目China Postdoctoral Science Foundation[2019M660783] ; China Postdoctoral Science Foundation[2018M641457] ; New Ideas Think Tank Consulting Co., Ltd. ; National Natural Science Foundation of China[41901181]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000867202300001
出版者MDPI
资助机构China Postdoctoral Science Foundation ; New Ideas Think Tank Consulting Co., Ltd. ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/185765]  
专题中国科学院地理科学与资源研究所
通讯作者Zhou, Meijing; Xu, Qiong
作者单位1.Beijing Inst Petrochem Technol, Beijing 102617, Peoples R China
2.Cent South Univ, Business Sch, Changsha 410083, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Beijing Acad Safety Engn & Technol, Beijing 102617, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Deng, Zhaoming,Zhou, Meijing,Xu, Qiong. How to Decouple Tourism Growth from Carbon Emissions? A Spatial Correlation Network Analysis in China[J]. SUSTAINABILITY,2022,14(19):14.
APA Deng, Zhaoming,Zhou, Meijing,&Xu, Qiong.(2022).How to Decouple Tourism Growth from Carbon Emissions? A Spatial Correlation Network Analysis in China.SUSTAINABILITY,14(19),14.
MLA Deng, Zhaoming,et al."How to Decouple Tourism Growth from Carbon Emissions? A Spatial Correlation Network Analysis in China".SUSTAINABILITY 14.19(2022):14.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。