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Multiregional Input-Output Analysis of Spatial-Temporal Evolution Driving Force for Carbon Emissions Embodied in Interprovincial Trade and Optimization Policies: Case Study of Northeast Industrial District in China
Cheng, Hao1; Dong, Suocheng1,2; Li, Fujia1,2; Li, Shantong3; Li, Yu1,2; Yang, Yang1,2
2018-01-02
Source PublicationENVIRONMENTAL SCIENCE & TECHNOLOGY
ISSN0013-936X
Volume52Issue:1Pages:346-358
Corresponding AuthorLi, Fujia(lifujia2003@163.com)
AbstractIn the counties with rapid economy and carbon emissions (CEs) growth, CEs embodied in interprovincial trade (CEs-PT) significantly impacts the CEs amount and structure and represents a key issue to consider in CEs reduction policies formulation. This study applied EEBT and two-stage SDA model to analyze the characteristics and driving force of spatial-temporal evolution for net CEs-PT outflow in the Northeast Industrial District of China (NID). We found that, during 1997-2007, the net CEs-PT flowed out from NID to 16 south and east provinces, then to 23 provinces all over China, and its amount has increased 216.798Mt (by 211.67% per year). The main driving forces are technology and demand (further decomposed into structure and scale matrix); the contribution are 71.6418 Mt and 145.1562 Mt. Then, we constructed coupling relationship model and took the top three industries with the greatest net CEs-PT outflow (farming, forestry, animal husbandry and fisheries, electricity and heat production and supply, petroleum processing, coking, and nuclear fuel processing) as examples, adjusted the interprovincial trade constructions, scales, and objects, to reduce the CEs-PT with lower costs, greater effect, and more equitability. The achievement could provide reference for formulating CEs reduction policies for similar areas in the world characterized by rapid growth of economy and CEs.
DOI10.1021/acs.est.7b04608
WOS KeywordSTRUCTURAL DECOMPOSITION ANALYSIS ; CO2 EMISSIONS ; INTERNATIONAL-TRADE ; SUPPLY CHAINS ; CONSUMPTION ; ENERGY ; INTENSITY ; BRAZIL ; MODEL
Indexed BySCI
Language英语
Funding ProjectScience & Technology Basic Resources Investigation Program of China[2017FY101304] ; National Natural Science Foundation of China[41301637] ; National Natural Science Foundation of China[41701639] ; National Natural Science Foundation of China[41771182]
Funding OrganizationScience & Technology Basic Resources Investigation Program of China ; National Natural Science Foundation of China
WOS Research AreaEngineering ; Environmental Sciences & Ecology
WOS SubjectEngineering, Environmental ; Environmental Sciences
WOS IDWOS:000419419500038
PublisherAMER CHEMICAL SOC
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/56893
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Fujia
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
3.State Council, Dev Res Ctr, Dept Dev Strategy & Reg Econ, Beijing 100010, Peoples R China
Recommended Citation
GB/T 7714
Cheng, Hao,Dong, Suocheng,Li, Fujia,et al. Multiregional Input-Output Analysis of Spatial-Temporal Evolution Driving Force for Carbon Emissions Embodied in Interprovincial Trade and Optimization Policies: Case Study of Northeast Industrial District in China[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY,2018,52(1):346-358.
APA Cheng, Hao,Dong, Suocheng,Li, Fujia,Li, Shantong,Li, Yu,&Yang, Yang.(2018).Multiregional Input-Output Analysis of Spatial-Temporal Evolution Driving Force for Carbon Emissions Embodied in Interprovincial Trade and Optimization Policies: Case Study of Northeast Industrial District in China.ENVIRONMENTAL SCIENCE & TECHNOLOGY,52(1),346-358.
MLA Cheng, Hao,et al."Multiregional Input-Output Analysis of Spatial-Temporal Evolution Driving Force for Carbon Emissions Embodied in Interprovincial Trade and Optimization Policies: Case Study of Northeast Industrial District in China".ENVIRONMENTAL SCIENCE & TECHNOLOGY 52.1(2018):346-358.
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