中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Measuring carbon emission performance of industrial sectors in the Beijing-Tianjin-Hebei region, China: A stochastic frontier approach

文献类型:期刊论文

作者Wang, Chao1; Zhan, Jinyan1; Bai, Yuping2,3,4; Chu, Xi1; Zhang, Fan2,3
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2019-10-01
卷号685页码:786-794
关键词Carbon emission performance Carbon emission mitigation potential Industrial sector Stochastic frontier approach Beijing-Tianjin-Hebei
ISSN号0048-9697
DOI10.1016/j.scitotenv.2019.06.064
通讯作者Zhan, Jinyan(zhanjy@bnu.edu.cn)
英文摘要Carbon emissions have become a global environmental problem in recent years. It is necessary to explore methods to improve the efficiency of energy consumption and minimize carbon emissions that accompany economic development and rapid urbanization. In this paper, we quantitatively measure the total factor carbon emission performance (TFCP) and the carbon emission mitigation potential (CMP) of 39 industrial sectors in the Beijing-Tianjin-Hebei (BTH) region from 2010 to 2016 by employing a stochastic frontier approach. The results show that the average TFCP value of the 39 industrial sectors in the 13TH region was relatively low (0.7733). From 2010 to 2016, the TFCP increased in Beijing, decreased in Tianjin and held steady in Hebei. The entire level of TFCP in Hebei was the greatest, followed by Tianjin and Beijing. The CMP in the BTH region increased slightly during the period 2010-2016. The total CMP of the 39 industrial sectors in the BTH region was 11.03 x 10(8) t from 2010 to 2016. The industrial sectors were divided into four categories according to the relationship between TFCP and CMP. Belonging to the low TFCP-high CMP quadrant, the Manufacture of Nonmetallic Mineral Products sector and the Production and Distribution of Electric Power and Heat Power sector should attract more attention when formulating carbon reduction policies and related regulations. According to the results, we also present suggestions to strengthen green economic growth and regional sustainable development. (C) 2019 Elsevier B.V. All rights reserved.
WOS关键词DIOXIDE EMISSIONS ; CO2 EMISSIONS ; ENERGY ; EFFICIENCY ; DECOMPOSITION ; REDUCTION ; CITY ; DEA ; CONSUMPTION ; MITIGATION
资助项目State Key Program of National Natural Science Foundation of China[71533004] ; National Key Research and Development Program of China[2016YFA0602500] ; National Natural Science Foundation of International/Regional Cooperation and Exchange Programs[71561137002] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010302]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000477951900074
出版者ELSEVIER
资助机构State Key Program of National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Natural Science Foundation of International/Regional Cooperation and Exchange Programs ; Strategic Priority Research Program of Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/58312]  
专题中国科学院地理科学与资源研究所
通讯作者Zhan, Jinyan
作者单位1.Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing 100875, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100149, Peoples R China
推荐引用方式
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Wang, Chao,Zhan, Jinyan,Bai, Yuping,et al. Measuring carbon emission performance of industrial sectors in the Beijing-Tianjin-Hebei region, China: A stochastic frontier approach[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,685:786-794.
APA Wang, Chao,Zhan, Jinyan,Bai, Yuping,Chu, Xi,&Zhang, Fan.(2019).Measuring carbon emission performance of industrial sectors in the Beijing-Tianjin-Hebei region, China: A stochastic frontier approach.SCIENCE OF THE TOTAL ENVIRONMENT,685,786-794.
MLA Wang, Chao,et al."Measuring carbon emission performance of industrial sectors in the Beijing-Tianjin-Hebei region, China: A stochastic frontier approach".SCIENCE OF THE TOTAL ENVIRONMENT 685(2019):786-794.

入库方式: OAI收割

来源:地理科学与资源研究所

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