Decomposition and Decoupling Analysis of Energy-Related Carbon Emissions from China Manufacturing

The energy-related carbon emissions of China’s manufacturing increased rapidly, from 36988.97 × 104 tC in 1996 to 74923.45 × 104 tC in 2012. To explore the factors to the change of the energy-related carbon emissions from manufacturing sector and the decoupling relationship between energy-related ca...

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Main Authors: Qingchun Liu, Shufang Liu, Lingqun Kong
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/268286
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spelling doaj-5fe004b52436466e940a0fbcddc5da702020-11-24T23:20:42ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/268286268286Decomposition and Decoupling Analysis of Energy-Related Carbon Emissions from China ManufacturingQingchun Liu0Shufang Liu1Lingqun Kong2School of Economics, Shandong University of Finance and Economics, Jinan 250014, ChinaSchool of Economics, Shandong University of Finance and Economics, Jinan 250014, ChinaSchool of Economics, Shandong University of Finance and Economics, Jinan 250014, ChinaThe energy-related carbon emissions of China’s manufacturing increased rapidly, from 36988.97 × 104 tC in 1996 to 74923.45 × 104 tC in 2012. To explore the factors to the change of the energy-related carbon emissions from manufacturing sector and the decoupling relationship between energy-related carbon emissions and economic growth, the empirical research was carried out based on the LMDI method and Tapio decoupling model. We found that the production scale contributed the most to the increase of the total carbon emissions, while the energy intensity was the most inhibiting factor. And the effects of the intrastructure and fuel mix on the change of carbon emissions were relatively weak. At a disaggregative level within manufacturing sector, EI subsector had a greater impact on the change of the total carbon emissions, with much more potentiality of energy conservation and emission reduction. Weak decoupling of manufacturing sector carbon emissions from GDP could be observed in the manufacturing sector and EI subsector, while strong decoupling state appeared in NEI subsector. Several advices were put forward, such as adjusting the fuel structure and optimizing the intrastructure and continuing to improve the energy intensity to realize the manufacturing sustainable development in low carbon pattern.http://dx.doi.org/10.1155/2015/268286
collection DOAJ
language English
format Article
sources DOAJ
author Qingchun Liu
Shufang Liu
Lingqun Kong
spellingShingle Qingchun Liu
Shufang Liu
Lingqun Kong
Decomposition and Decoupling Analysis of Energy-Related Carbon Emissions from China Manufacturing
Mathematical Problems in Engineering
author_facet Qingchun Liu
Shufang Liu
Lingqun Kong
author_sort Qingchun Liu
title Decomposition and Decoupling Analysis of Energy-Related Carbon Emissions from China Manufacturing
title_short Decomposition and Decoupling Analysis of Energy-Related Carbon Emissions from China Manufacturing
title_full Decomposition and Decoupling Analysis of Energy-Related Carbon Emissions from China Manufacturing
title_fullStr Decomposition and Decoupling Analysis of Energy-Related Carbon Emissions from China Manufacturing
title_full_unstemmed Decomposition and Decoupling Analysis of Energy-Related Carbon Emissions from China Manufacturing
title_sort decomposition and decoupling analysis of energy-related carbon emissions from china manufacturing
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description The energy-related carbon emissions of China’s manufacturing increased rapidly, from 36988.97 × 104 tC in 1996 to 74923.45 × 104 tC in 2012. To explore the factors to the change of the energy-related carbon emissions from manufacturing sector and the decoupling relationship between energy-related carbon emissions and economic growth, the empirical research was carried out based on the LMDI method and Tapio decoupling model. We found that the production scale contributed the most to the increase of the total carbon emissions, while the energy intensity was the most inhibiting factor. And the effects of the intrastructure and fuel mix on the change of carbon emissions were relatively weak. At a disaggregative level within manufacturing sector, EI subsector had a greater impact on the change of the total carbon emissions, with much more potentiality of energy conservation and emission reduction. Weak decoupling of manufacturing sector carbon emissions from GDP could be observed in the manufacturing sector and EI subsector, while strong decoupling state appeared in NEI subsector. Several advices were put forward, such as adjusting the fuel structure and optimizing the intrastructure and continuing to improve the energy intensity to realize the manufacturing sustainable development in low carbon pattern.
url http://dx.doi.org/10.1155/2015/268286
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