LAPSE:2023.14617
Published Article

LAPSE:2023.14617
Features, Mechanisms and Optimization of Embodied Carbon Emissions for Energy Supply Bases: Case Study of Shanxi, China
March 1, 2023
Abstract
Energy supply bases (ESBs) are vital regions, intended to satisfy global energy demands and secure global energy supplies, which provide large amounts of energy products to their host countries (and even the world through trade). However, due to long-term dependency on energy trade, ESBs are facing the dual pressure of reaching emission reduction targets and securing energy supplies and have become one of the main obstacles for host countries trying to reach emission reduction targets. (1) Methods: We used the EEBT model, SDA model, and CR model to explore the spatio-temporal features and mechanisms of embodied carbon emissions in inter-provincial trade (ECEs-PT) in Shanxi. (2) Results: The spatio-temporal development characteristic of net ECEs-PT outflow in Shanxi is “from expanded coverage to enhanced agglomeration”. A total of 98% of the net ECEs-PT is highly concentrated in coal mining and washing (Coalmin), metal smelting and rolling processing (MetalSmelt) and petroleum processing, coking, and nuclear fuel processing (RefPetraol). Moreover, the ECEs-PT driving forces were technology, structure, and scale. While trade expands, the pressure of CEs reduction is increasing. We discussed optimization for different types of sectors. The results could provide scientific support for similar ESBs to reduce carbon emissions more efficiently with less disturbance to energy supply stability.
Energy supply bases (ESBs) are vital regions, intended to satisfy global energy demands and secure global energy supplies, which provide large amounts of energy products to their host countries (and even the world through trade). However, due to long-term dependency on energy trade, ESBs are facing the dual pressure of reaching emission reduction targets and securing energy supplies and have become one of the main obstacles for host countries trying to reach emission reduction targets. (1) Methods: We used the EEBT model, SDA model, and CR model to explore the spatio-temporal features and mechanisms of embodied carbon emissions in inter-provincial trade (ECEs-PT) in Shanxi. (2) Results: The spatio-temporal development characteristic of net ECEs-PT outflow in Shanxi is “from expanded coverage to enhanced agglomeration”. A total of 98% of the net ECEs-PT is highly concentrated in coal mining and washing (Coalmin), metal smelting and rolling processing (MetalSmelt) and petroleum processing, coking, and nuclear fuel processing (RefPetraol). Moreover, the ECEs-PT driving forces were technology, structure, and scale. While trade expands, the pressure of CEs reduction is increasing. We discussed optimization for different types of sectors. The results could provide scientific support for similar ESBs to reduce carbon emissions more efficiently with less disturbance to energy supply stability.
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Keywords
coupling relationship, embodied carbon emissions in inter-provincial trade, energy supply bases, optimization measures, structure decomposition analysis
Subject
Suggested Citation
Liu Q, Dong S, Li F, Cheng H, Li S, Yang Y. Features, Mechanisms and Optimization of Embodied Carbon Emissions for Energy Supply Bases: Case Study of Shanxi, China. (2023). LAPSE:2023.14617
Author Affiliations
Liu Q: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Dong S: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Li F: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; Innovation Academy for Green Manufa
Cheng H: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Li S: Department of Development Strategy and Regional Economy, Development Research Center, State Council, Beijing 100010, China
Yang Y: School of Economics and Management, Beijing University of Technology, Beijing 100124, China
Dong S: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Li F: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; Innovation Academy for Green Manufa
Cheng H: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Li S: Department of Development Strategy and Regional Economy, Development Research Center, State Council, Beijing 100010, China
Yang Y: School of Economics and Management, Beijing University of Technology, Beijing 100124, China
Journal Name
Energies
Volume
15
Issue
6
First Page
2079
Year
2022
Publication Date
2022-03-12
ISSN
1996-1073
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PII: en15062079, Publication Type: Journal Article
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LAPSE:2023.14617
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https://doi.org/10.3390/en15062079
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