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Study of industrial path to reduce the energy density based on divisia decomposition

  • Zheng Ze Zhang*
  • , Da Peng Liang
  • *Corresponding author for this work
  • School of Management, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Divisia decomposition is an important method to study the changes of indices. Based on the sample data of major industries in China and other 11 OECD countries from 1997 to 2005, this paper uses logarithmic mean Divisia index decomposition approach for analysing empirically the characteristics of energy density changes in these countries. The results of empirical analysis explain the main factors that promote the changes of energy density and based on this, this paper carries on the horizontal comparison with the OECD countries on six industries which displayed most remarkable output effect and density effect in China. By analyzing the results, the paper determines the potential of china to further reduce the energy density and determines its best industrial path.

Original languageEnglish
Title of host publication2009 International Conference on Management Science and Engineering - 16th Annual Conference Proceedings, ICMSE 2009
Pages1650-1655
Number of pages6
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 16th International Conference on Management Science and Engineering, ICMSE 2009 - Moscow, Russian Federation
Duration: 14 Sep 200916 Sep 2009

Publication series

Name2009 International Conference on Management Science and Engineering - 16th Annual Conference Proceedings, ICMSE 2009

Conference

Conference2009 16th International Conference on Management Science and Engineering, ICMSE 2009
Country/TerritoryRussian Federation
CityMoscow
Period14/09/0916/09/09

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Decomposition analysis
  • Divisia index
  • Energy consumption
  • Energy density
  • Energy efficiency

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