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Using LMDI method to analyze transport sector CO₂ emissions in China
China has been the second CO₂ emitter in the world, while the transportation sector accounts for a major share of CO₂ emissions. Analysis of transportation sector CO₂ emissions is help to decrease CO₂ emissions. Thus the purpose of this paper is to investigate the potential factors influencing the c...
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Published in: | Energy (Oxford) 2011-10, Vol.36 (10), p.5909-5915 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | China has been the second CO₂ emitter in the world, while the transportation sector accounts for a major share of CO₂ emissions. Analysis of transportation sector CO₂ emissions is help to decrease CO₂ emissions. Thus the purpose of this paper is to investigate the potential factors influencing the change of transport sector CO₂ emissions in China. First, the transport sector CO₂ emissions over the period 1985–2009 is calculated based on the presented method. Then the presented LMDI (logarithmic mean Divisia index) method is used to find the nature of the factors those influence the changes in transport sector CO₂ emissions. We find that: (1) Transport sector CO₂ emissions has increased from 79.67 Mt in 1985 to 887.34 Mt in 2009, following an annual growth rate of 10.56%. Highways transport is the biggest CO₂ emitter. (2) The per capita economic activity effect and transportation modal shifting effect are found to be primarily responsible for driving transport sector CO₂ emissions growth over the study period. (3) The transportation intensity effect and transportation services share effect are found to be the main drivers of the reduction of CO₂ emissions in China. However, the emission coefficient effect plays a very minor role over the study period. |
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ISSN: | 0360-5442 |
DOI: | 10.1016/j.energy.2011.08.031 |