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Pathway to Reduce Industrial Energy Intensity for Energy Conservation at Chinese Provincial Level

Authors: Shengman Zhao, Yang Yu, Shenghui Cui


Using logarithmic mean Divisia decomposition technique, this paper analyzes the change in industrial energy intensity of Fujian Province in China, based on data sets of added value and energy consumption for 35 selected industrial sub-sectors from 1999 to 2009. The change in industrial energy intensity is decomposed into intensity effect and structure effect. Results show that the industrial energy intensity of Fujian Province has achieved a reduction of 51% over the past ten years. The structural change, a shift in the mix of industrial sub-sectors, made overwhelming contribution to the reduction. The impact of energy efficiency’s improvement was relatively small. However, the aggregate industrial energy intensity was very sensitive to both the changes in energy intensity and in production share of energy-intensive sub-sectors, such as production and supply of electric power, steam and hot water. Pathway to reduce industrial energy intensity for energy conservation in Fujian Province is proposed in the end.

Keywords: Industry, Energy Intensity, decomposition analysis, Fujian Province

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[1] Statistical Bureau of Fujian Province and Survey Office of the National Bureau of Statistics in Fujian. Fujian Statistical Yearbook 2010. Beijing, China: China Statistics, 2011, pp. 45-145.
[2] R. Wang, W. Liu, L. Xiao, J. Liu, and W. Kao, "Path towards achieving of China's 2020 carbon emission reduction target-a discussion of low-carbon energy policies at province level," Energy Policy vol. 39, pp. 2740-2747, May. 2011.
[3] B. W. Ang and F. Q. Zhang, "A survey of index decomposition analysis in energy and environmental studies," Energy vol. 25, pp. 1149-1176, Dec. 2000.
[4] B. W. Ang and F. L. Liu, "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy vol. 26, pp. 537-548, Jun. 2001.
[5] H. Liao, Y. Fan, and Y. Wei, "What induced China's energy intensity to fluctuate: 1997-2006," Energy Policy vol. 35, pp. 4640-4649, Sep. 2007.
[6] K. Fisher-Vanden, G. H. Jefferson, H. Liu, and Q. Tao "What is driving China's decline in energy intensity," Resource and Energy Economics, vol. 26, pp. 77-97, Mar. 2004.
[7] S. C. Bhattacharyya and A. Ussanarassamee, "Decomposition of energy and CO2 intensities of Thai industry between 1981 and 2000," Energy Economics, vol. 26, pp. 765-781, Sep. 2004.
[8] A. Balezentis, T. Balezentis, and D. Streimikiene, "The energy intensity in Lithuania during 1995-2009: a LMDI approach," Energy Policy, vol.39, pp. 7322-7334, Nov. 2011.
[9] R. Hoekstra and J. C. J. M. van den Bergh, "Comparing structural decomposition analysis and index," Energy Economics, vol. 25, pp. 39-64, Jan. 2003.
[10] B. W. Ang, H. C. Huang, and A. R. Mu, "Properties and linkages of some index decomposition analysis methods," Energy Policy, vol. 37, pp. 4624-4632, Nov. 2009.
[11] M. Zhang, H. Mu, Y. Ning, and Y. Song, 'Decomposition of energy-related CO2 emission over 1991-2006 in China," Ecol Econ, vol. 68, pp. 2122-2128, May. 2009.
[12] B. W. Ang, "Decomposition analysis for policymaking in energy: which is the preferred method," Energy Policy, vol. 32, pp.1131-1139, Jun. 2004.