Calculation and structural analysis of total factor energy efficiency in high carbon sectors

Abstract High carbon sectors (agriculture, industry, construction, and transportation) contribute nearly 85% of carbon emissions, highlighting the urgent need for transitioning towards cleaner energy structures in these sectors. This study utilizes the undesirable SBM model to assess TFEE (total fac...

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Main Authors: Bo-Wen An, Pei-Yuan Xu, Dong Pan, Xiao-Tian Li, Dong Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-87994-6
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author Bo-Wen An
Pei-Yuan Xu
Dong Pan
Xiao-Tian Li
Dong Wang
author_facet Bo-Wen An
Pei-Yuan Xu
Dong Pan
Xiao-Tian Li
Dong Wang
author_sort Bo-Wen An
collection DOAJ
description Abstract High carbon sectors (agriculture, industry, construction, and transportation) contribute nearly 85% of carbon emissions, highlighting the urgent need for transitioning towards cleaner energy structures in these sectors. This study utilizes the undesirable SBM model to assess TFEE (total factor energy efficiency) across the total sector and high carbon sectors. It decomposes TFEE from an energy structural perspective into coal, oil, natural gas, and electric heat efficiencies. Using a variance-like decomposition model, it analyzes TFEE at two levels to examine how changes in specific sectors and energy categories affect total sector TFEE. From 2010 to 2021, China’s total sector TFEE increased from 0.542 to 0.676, with electric heat and coal identified as critical factors limiting TFEE improvements. Among the four high carbon sectors, construction exhibited a significant increase in TFEE, agriculture showed a steep rise, the industry demonstrated a U-shaped trend with a turning point in 2015, and transportation experienced a slight decline. TFEE exhibits a descending order among sectors, with agriculture ranking highest, followed by construction, industry, and transportation. Similarly, the total factor efficiencies of energy types show a hierarchical structure, with oil being the most efficient, followed by electric heat, natural gas, and coal. Construction dominates TFEE changes at the sectoral level, contributing 58.87%, while coal contributes over 30% at the energy category level. The decomposition results for each province further indicate that both sectoral structure and energy structure significantly impact the changes in TFEE, and this influence also exhibits regional heterogeneity.
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spelling doaj-art-23f50b49d14649bab1bd75cee2f7c76f2025-02-02T12:24:02ZengNature PortfolioScientific Reports2045-23222025-01-0115111710.1038/s41598-025-87994-6Calculation and structural analysis of total factor energy efficiency in high carbon sectorsBo-Wen An0Pei-Yuan Xu1Dong Pan2Xiao-Tian Li3Dong Wang4College of Economics and Finance, Huaqiao UniversityCollege of Economics and Finance, Huaqiao UniversityDepartment of Basic Teaching and Research, Xinjiang College of Science & TechnologyCollege of Economics and Trade Management, Xinjiang Institute of TechnologyCollege of Economics and Finance, Huaqiao UniversityAbstract High carbon sectors (agriculture, industry, construction, and transportation) contribute nearly 85% of carbon emissions, highlighting the urgent need for transitioning towards cleaner energy structures in these sectors. This study utilizes the undesirable SBM model to assess TFEE (total factor energy efficiency) across the total sector and high carbon sectors. It decomposes TFEE from an energy structural perspective into coal, oil, natural gas, and electric heat efficiencies. Using a variance-like decomposition model, it analyzes TFEE at two levels to examine how changes in specific sectors and energy categories affect total sector TFEE. From 2010 to 2021, China’s total sector TFEE increased from 0.542 to 0.676, with electric heat and coal identified as critical factors limiting TFEE improvements. Among the four high carbon sectors, construction exhibited a significant increase in TFEE, agriculture showed a steep rise, the industry demonstrated a U-shaped trend with a turning point in 2015, and transportation experienced a slight decline. TFEE exhibits a descending order among sectors, with agriculture ranking highest, followed by construction, industry, and transportation. Similarly, the total factor efficiencies of energy types show a hierarchical structure, with oil being the most efficient, followed by electric heat, natural gas, and coal. Construction dominates TFEE changes at the sectoral level, contributing 58.87%, while coal contributes over 30% at the energy category level. The decomposition results for each province further indicate that both sectoral structure and energy structure significantly impact the changes in TFEE, and this influence also exhibits regional heterogeneity.https://doi.org/10.1038/s41598-025-87994-6Total factor energy efficiencyHigh carbon sectorsDecomposition of energy structureUndesirable SBMVariance-like decomposition
spellingShingle Bo-Wen An
Pei-Yuan Xu
Dong Pan
Xiao-Tian Li
Dong Wang
Calculation and structural analysis of total factor energy efficiency in high carbon sectors
Scientific Reports
Total factor energy efficiency
High carbon sectors
Decomposition of energy structure
Undesirable SBM
Variance-like decomposition
title Calculation and structural analysis of total factor energy efficiency in high carbon sectors
title_full Calculation and structural analysis of total factor energy efficiency in high carbon sectors
title_fullStr Calculation and structural analysis of total factor energy efficiency in high carbon sectors
title_full_unstemmed Calculation and structural analysis of total factor energy efficiency in high carbon sectors
title_short Calculation and structural analysis of total factor energy efficiency in high carbon sectors
title_sort calculation and structural analysis of total factor energy efficiency in high carbon sectors
topic Total factor energy efficiency
High carbon sectors
Decomposition of energy structure
Undesirable SBM
Variance-like decomposition
url https://doi.org/10.1038/s41598-025-87994-6
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AT xiaotianli calculationandstructuralanalysisoftotalfactorenergyefficiencyinhighcarbonsectors
AT dongwang calculationandstructuralanalysisoftotalfactorenergyefficiencyinhighcarbonsectors