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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Online Access: | http://dx.doi.org/10.1155/2015/268286 |
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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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