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Structural decomposition analysis on energy intensity changes at regional level

Author

Listed:
  • Hua Liao
  • Ce Wang
  • Zhi-Shuang Zhu
  • Xiao-Wei Ma

Abstract

As China's energy intensity fluctuated in recent years, it is necessary to examine whether this fluctuations happened at a regional level. This paper conducts a decomposition model by using the structural decomposition analysis (SDA) method at a regional level. Then this model is employed to empirically analyze the changes of Beijing's energy intensity. The conclusions are as follows: during 2002-2010, except petroleum, the energy intensity decreased and the changes were mostly attributed to the technology changes, while the final use variation actually increased the energy intensity; comparing different periods of 2002-2010, the decline rates of energy intensity for coal and hydropower were decreasing, resulting from the production technology being more energy-intensive than before; The energy intensity changes of petroleum firstly increased substantially then decreased moderately.

Suggested Citation

  • Hua Liao & Ce Wang & Zhi-Shuang Zhu & Xiao-Wei Ma, 2012. "Structural decomposition analysis on energy intensity changes at regional level," CEEP-BIT Working Papers 40, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    • Handle: RePEc:biw:wpaper:40
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    File URL: http://ceep.bit.edu.cn/docs/2018-10/20181011135744921669.pdf
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    References listed on IDEAS

    as
    1. Wu, Yanrui, 2012. "Energy intensity and its determinants in China's regional economies," Energy Policy, Elsevier, vol. 41(C), pages 703-711.
    2. Hua Liao, 2012. "China Country Report," Chapters, in: Shigeru Kimura (ed.), Analysis on Energy Saving Potential in East Asia, chapter 5, pages 115-130, Economic Research Institute for ASEAN and East Asia (ERIA).
    3. Cao, Shuyan & Xie, Gaodi & Zhen, Lin, 2010. "Total embodied energy requirements and its decomposition in China's agricultural sector," Ecological Economics, Elsevier, vol. 69(7), pages 1396-1404, May.
    4. Song, Feng & Zheng, Xinye, 2012. "What drives the change in China's energy intensity: Combining decomposition analysis and econometric analysis at the provincial level," Energy Policy, Elsevier, vol. 51(C), pages 445-453.
    5. Yu, Huayi, 2012. "The influential factors of China's regional energy intensity and its spatial linkages: 1988–2007," Energy Policy, Elsevier, vol. 45(C), pages 583-593.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    2. Wang, Wenwen & Liu, Xiao & Zhang, Ming & Song, Xuefeng, 2014. "Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China's energy consumption," Energy, Elsevier, vol. 67(C), pages 617-622.
    3. Hongyun Han & Shu Wu, 2018. "Structural Change and Its Impact on the Energy Intensity of Agricultural Sector in China," Sustainability, MDPI, vol. 10(12), pages 1-23, December.
    4. Hua Liao & Zhao-Yi & Ce Wang, 2013. "Divisia decomposition method and its application to changes of net oil import intensity," CEEP-BIT Working Papers 55, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    5. Ming Zhang & Yan Song & Lixia Yao, 2015. "Exploring commercial sector building energy consumption in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2673-2682, February.
    6. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    7. Wang, Ce & Liao, Hua & Pan, Su-Yan & Zhao, Lu-Tao & Wei, Yi-Ming, 2014. "The fluctuations of China’s energy intensity: Biased technical change," Applied Energy, Elsevier, vol. 135(C), pages 407-414.

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    More about this item

    Keywords

    Structural decomposition analysis; input-output analysis; energy intensity;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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