Title :
Notice of Retraction
A Decomposition Analysis on Influencing Factors of energy-related CO2 emissions in China
Author :
Xiao-li Liu ; Yong-xiu He
Author_Institution :
Sch. of Bus. Adm., North China Electr. Power Univ., Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Decomposition analysis has been popular in the study on influencing factors of CO2 emissions. This paper analyzes the change of sectoral CO2 emissions from the three main industries in China over the period 1980-2007 based on a complete decomposition approach-the logarithmic mean divisia index (LMDI) method, and examines the factors driving the changes of CO2 emissions. The research shows that economic activity effect is the main influence factor for CO2 emission increase in China over the entire period, China has achieved a considerable theoretical decrease in CO2 emissions mainly due to the improved of energy intensity. In addition, the change of industrial structure, CO2 emission coefficient and population exhibit positive effect to the CO2 emissions increase. According to research, the author suggests CO2 emission reduction strategies should aim at accelerate technological innovation and industrial structural adjustments; diversify energy supply with preference on renewable energy and perfect environment protection management system.
Keywords :
air pollution; carbon compounds; environmental economics; environmental management; innovation management; renewable energy sources; technology management; LMDI method; carbon dioxide emission reduction strategy; decomposition analysis; economic activity effect; energy intensity; energy-related carbon dioxide emissions; industrial structural adjustments; influencing factors; logarithmic mean divisia index method; perfect environment protection management system; renewable energy; technological innovation; Green products; Indexes; CO2 emissions; efficiency effect; logarithmic mean divisia index decomposition method(LMID); structural effect;
Conference_Titel :
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6931-4
DOI :
10.1109/ICAMS.2010.5553224