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
Spatio-temporal characteristics of the relationship between carbon emissions and economic growth in China's transportation industry

文献类型：期刊论文

作者Wang, Li1,2,3; Fan, Jie1,2,4; Wang, Jiaoyue5; Zhao, Yanfei1,2,3; Li, Zhen3,6; Guo, Rui1,2
刊名ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
出版日期2020-06-10
页码18
关键词Carbon emissions Transportation industry Standard deviational ellipse Tapio decoupling analysis
ISSN号0944-1344
DOI10.1007/s11356-020-08841-x
通讯作者Fan, Jie(fanj@igsnrr.ac.cn)
英文摘要The economic and social development of a country rely heavily on transportation. In China, it has become the third largest energy consumption sector and generates substantial amounts of carbon emissions. In the present study, direct and indirect carbon emissions from the transportation industry throughout China's 30 provinces during 1997-2017 were calculated. Further, to reveal the spatio-temporal characteristics of the relationship between carbon emissions and economic growth, the standard deviational ellipse and Tapio decoupling method were employed. The main results are as follows. (1) The total carbon emissions from the transportation industry increased from 132.79 million tons (Mt) in 1997 to 849.64 Mt in 2017, with an average annual growth rate of 9.72%; direct carbon emissions accounted for approximately 86% of the total. (2) Carbon emissions as well as the added value of the transportation industry had the same spatial distribution characteristics, presenting a northeast-southwest pattern during 1997-2017. Although their spatial distribution patterns were mainly in the north-south direction, the development in the east-west direction became increasingly obvious. (3) The decoupling index in the transportation industry was greater than 0.8 for most years, with an expansive negative decoupling state or an expansive coupling state. The differences in carbon emissions and economic growth between various provinces showed a spatio-temporal disparity of the decoupling states in the transportation industry. The obtained results are of considerable interest for China's policymakers to set more reasonable carbon emission reduction goals and implement targeted policies according to the carbon emission situation at a local scale.
WOS关键词CO2 EMISSIONS ; DIOXIDE EMISSIONS ; ENERGY-CONSUMPTION ; DELINKING INDICATORS ; DRIVING FACTORS ; SECTOR ; PASSENGER ; DECOMPOSITION ; PROVINCES ; PATTERNS
资助项目National Nature Science Foundation of China[41630644]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000539206100004
出版者SPRINGER HEIDELBERG
资助机构National Nature Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/162196]  
专题中国科学院地理科学与资源研究所
通讯作者Fan, Jie
作者单位1.Chinese Acad Sci, Inst Sci, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Dev, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
5.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
6.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Li,Fan, Jie,Wang, Jiaoyue,et al. Spatio-temporal characteristics of the relationship between carbon emissions and economic growth in China's transportation industry[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2020:18.
APA Wang, Li,Fan, Jie,Wang, Jiaoyue,Zhao, Yanfei,Li, Zhen,&Guo, Rui.(2020).Spatio-temporal characteristics of the relationship between carbon emissions and economic growth in China's transportation industry.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,18.
MLA Wang, Li,et al."Spatio-temporal characteristics of the relationship between carbon emissions and economic growth in China's transportation industry".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020):18.

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。