The contribution degree of sub-sectors to structure effect and intensity effects on industry energy intensity in China from 1993 to 2003
This paper chooses the 36 industry sub-sectors as samplings, based on the data sets of added value and end-use energy consumption from 1993 to 2003 of China. By implying the improved index decomposition methods, ADMI and LMDI, the models are formulated. The results obtained show that structure effect which was less than intensity effect decreased year by year before 1998 and turned into steady from 1999. The intensity effect descended during the whole sampling periods. The biggest contributions on average structure effect and intensity effect were from sub-sectors of electric equipment and machines and raw chemical materials and chemical products, and the smallest contributions were from industries of production and supply of gas and petroleum processing and coking. The paper provides the foundation for policy making on improvement of industry energy efficiency.
Volume (Year): 13 (2009)
Issue (Month): 4 (May)
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- Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
- Fisher-Vanden, Karen & Jefferson, Gary H. & Liu, Hongmei & Tao, Quan, 2004. "What is driving China's decline in energy intensity?," Resource and Energy Economics, Elsevier, vol. 26(1), pages 77-97, March.
- Hulten, Charles R, 1973. "Divisia Index Numbers," Econometrica, Econometric Society, vol. 41(6), pages 1017-1025, November.
- Park, Se-Hark, 1992. "Decomposition of industrial energy consumption : An alternative method," Energy Economics, Elsevier, vol. 14(4), pages 265-270, October.
- Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
- Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
- Ang, B.W. & Liu, Na, 2007. "Energy decomposition analysis: IEA model versus other methods," Energy Policy, Elsevier, vol. 35(3), pages 1426-1432, March.
- G. Boyd & J. F. McDonald & M. Ross & D. A. Hansont, 1987. "Separating the Changing Composition of U.S. Manufacturing Production from Energy Efficiency Improvements: A Divisia Index Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 77-96.
- Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
- Sinton, Jonathan E. & Levine, Mark D., 1994. "Changing energy intensity in Chinese industry : The relatively importance of structural shift and intensity change," Energy Policy, Elsevier, vol. 22(3), pages 239-255, March.
- Boyd, Gale A. & Hanson, Donald A. & Sterner, Thomas, 1988. "Decomposition of changes in energy intensity : A comparison of the Divisia index and other methods," Energy Economics, Elsevier, vol. 10(4), pages 309-312, October.
- Sato, Kazuo, 1976. "The Ideal Log-Change Index Number," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 223-228, May.