Decomposition of China’s Carbon Emissions Intensity from 1995 to 2010: An Extended Kaya Identity
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper employs an extended Kaya identity as the scheme and utilizes the Logarithmic Mean Divisia Index (LMDI II) as the decomposition technique based on analyzing CO2 emissions trends in China.
Change in CO2 emissions intensity is decomposed from 1995 to 2010 and includes measures of the effect of Industrial structure, energy intensity, energy structure, and carbon emission factors.
Results illustrate that changes in energy intensity act to decrease carbon emissions intensity significantly and changes in industrial structure and energy structure do not act to reduce carbon emissions intensity effectively.
Policy will need to significantly optimize energy structure and adjust industrial structure if China’s emission reduction targets in 2020 are to be reached.
This requires a change in China’s economic development path and energy consumption path for optimal outcomes.
American Psychological Association (APA)
Li, Wei& Ou, Qing-Xiang. 2013. Decomposition of China’s Carbon Emissions Intensity from 1995 to 2010: An Extended Kaya Identity. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032507
Modern Language Association (MLA)
Li, Wei& Ou, Qing-Xiang. Decomposition of China’s Carbon Emissions Intensity from 1995 to 2010: An Extended Kaya Identity. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1032507
American Medical Association (AMA)
Li, Wei& Ou, Qing-Xiang. Decomposition of China’s Carbon Emissions Intensity from 1995 to 2010: An Extended Kaya Identity. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032507
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032507