Changes in China's energy intensity: A study based on decomposition analysis

He Huang; Xiong Xiong Song; Da Peng Liang

doi:10.1109/ICMSE.2016.8365452

Changes in China's energy intensity: A study based on decomposition analysis

He Huang
, Xiong Xiong Song
, Da Peng Liang

School of Economics and Management

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A ratio-dependent decomposition model and a difference-dependent decomposition model were built in this article to study the future trend of China's energy intensity. Based on some major industrial sectors' energy consumption data over the period 1997-2005 and 2005-2013, those two models were used to analyze empirically how China's energy intensity has been changed during the time, how the driving factors and differences of such changes has been explained. In addition, six industrial sectors that have shown the most significant yield effect and intensity effect were figured out according to the impact factors of the previous decomposition analysis, and the potential best industrial path to further decline of China's energy intensity in the future has been suggested accordingly. This work is supported by a grant from the National Natural Science Foundation of China, No. 71273040, 71273075.

Original language	English
Title of host publication	2016 International Conference on Management Science and Engineering, ICMSE 2016
Publisher	IEEE Computer Society
Pages	296-302
Number of pages	7
ISBN (Electronic)	9781509036059
DOIs	https://doi.org/10.1109/ICMSE.2016.8365452
State	Published - 2 Jul 2016
Event	23rd International Conference on Management Science and Engineering, ICMSE 2016 - Olten, Switzerland Duration: 18 Aug 2016 → 20 Aug 2016

Publication series

Name	International Conference on Management Science and Engineering - Annual Conference Proceedings
Volume	2016-August
ISSN (Print)	2155-1847

Conference

Conference	23rd International Conference on Management Science and Engineering, ICMSE 2016
Country/Territory	Switzerland
City	Olten
Period	18/08/16 → 20/08/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth

Keywords

Decomposition analysis
Divisia index
Economic development
Energy intensity
Industrial sector

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10.1109/ICMSE.2016.8365452

Cite this

Huang, H., Song, X. X., & Liang, D. P. (2016). Changes in China's energy intensity: A study based on decomposition analysis. In 2016 International Conference on Management Science and Engineering, ICMSE 2016 (pp. 296-302). (International Conference on Management Science and Engineering - Annual Conference Proceedings; Vol. 2016-August). IEEE Computer Society. https://doi.org/10.1109/ICMSE.2016.8365452

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title = "Changes in China's energy intensity: A study based on decomposition analysis",

abstract = "A ratio-dependent decomposition model and a difference-dependent decomposition model were built in this article to study the future trend of China's energy intensity. Based on some major industrial sectors' energy consumption data over the period 1997-2005 and 2005-2013, those two models were used to analyze empirically how China's energy intensity has been changed during the time, how the driving factors and differences of such changes has been explained. In addition, six industrial sectors that have shown the most significant yield effect and intensity effect were figured out according to the impact factors of the previous decomposition analysis, and the potential best industrial path to further decline of China's energy intensity in the future has been suggested accordingly. This work is supported by a grant from the National Natural Science Foundation of China, No. 71273040, 71273075.",

keywords = "Decomposition analysis, Divisia index, Economic development, Energy intensity, Industrial sector",

author = "He Huang and Song, \{Xiong Xiong\} and Liang, \{Da Peng\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd International Conference on Management Science and Engineering, ICMSE 2016 ; Conference date: 18-08-2016 Through 20-08-2016",

year = "2016",

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doi = "10.1109/ICMSE.2016.8365452",

language = "英语",

series = "International Conference on Management Science and Engineering - Annual Conference Proceedings",

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Huang, H, Song, XX & Liang, DP 2016, Changes in China's energy intensity: A study based on decomposition analysis. in 2016 International Conference on Management Science and Engineering, ICMSE 2016. International Conference on Management Science and Engineering - Annual Conference Proceedings, vol. 2016-August, IEEE Computer Society, pp. 296-302, 23rd International Conference on Management Science and Engineering, ICMSE 2016, Olten, Switzerland, 18/08/16. https://doi.org/10.1109/ICMSE.2016.8365452

Changes in China's energy intensity: A study based on decomposition analysis. / Huang, He; Song, Xiong Xiong; Liang, Da Peng.
2016 International Conference on Management Science and Engineering, ICMSE 2016. IEEE Computer Society, 2016. p. 296-302 (International Conference on Management Science and Engineering - Annual Conference Proceedings; Vol. 2016-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - A ratio-dependent decomposition model and a difference-dependent decomposition model were built in this article to study the future trend of China's energy intensity. Based on some major industrial sectors' energy consumption data over the period 1997-2005 and 2005-2013, those two models were used to analyze empirically how China's energy intensity has been changed during the time, how the driving factors and differences of such changes has been explained. In addition, six industrial sectors that have shown the most significant yield effect and intensity effect were figured out according to the impact factors of the previous decomposition analysis, and the potential best industrial path to further decline of China's energy intensity in the future has been suggested accordingly. This work is supported by a grant from the National Natural Science Foundation of China, No. 71273040, 71273075.

AB - A ratio-dependent decomposition model and a difference-dependent decomposition model were built in this article to study the future trend of China's energy intensity. Based on some major industrial sectors' energy consumption data over the period 1997-2005 and 2005-2013, those two models were used to analyze empirically how China's energy intensity has been changed during the time, how the driving factors and differences of such changes has been explained. In addition, six industrial sectors that have shown the most significant yield effect and intensity effect were figured out according to the impact factors of the previous decomposition analysis, and the potential best industrial path to further decline of China's energy intensity in the future has been suggested accordingly. This work is supported by a grant from the National Natural Science Foundation of China, No. 71273040, 71273075.

KW - Decomposition analysis

KW - Divisia index

KW - Economic development

KW - Energy intensity

KW - Industrial sector

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ER -

Changes in China's energy intensity: A study based on decomposition analysis

Abstract

Publication series

Conference

UN SDGs

Keywords

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