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The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis

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  • Wang, Juan
  • Hu, Mingming
  • Rodrigues, João F.D.

Abstract

This study adopts the log-mean Divisial index (LMDI) method to decompose the changes in the industrial aggregate energy intensity (IAEI) of China into both macro and technological factors: sectoral energy intensity, industrial structure, research and development (R&D) efficiency, R&D intensity and investment intensity. Afterwards we determine the contributions of 36 industrial sub-sectors to IAEI through different factors using attribution analysis. The results show that the IAEI decreased by 38.26% from 2003 to 2015. This drop is predominantly caused by R&D efficiency (−76.01%). The sub-sectors of ferrous metals (−14.94%) and non-metallic mineral products (−13.36%) are the main contributors to the R&D efficiency effect. The sectoral energy intensity effect contributes −27.19%, mainly due to the sub-sectors of ferrous metals (−15.97%) and non-ferrous metals (−5.68%). The industrial structure effect also contributes to a decline of IAEI (−15.06%), of which, petroleum, coking and nuclear fuel (−5.57%) and ferrous metals (−4.73%) are the sub-sectors that contribute the most. Conversely, investment intensity (174.09%) and R&D intensity (52.06%) contribute to increase the IAEI, largely owing to sub-sectors of petroleum, coking and nuclear fuel processing, chemical materials and non-metallic mineral products. Our findings suggest that the combined effects of the policies implemented during the time frame of 2003 to 2015 led to a reduction in IAEI, with investment intensity being the focus of improvement. Nevertheless, different policies and measures should be put forward in different sub-sectors due to their varying degrees of adaptability and policy sensitivity.

Suggested Citation

  • Wang, Juan & Hu, Mingming & Rodrigues, João F.D., 2018. "The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis," Applied Energy, Elsevier, vol. 228(C), pages 2195-2206.
    • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:2195-2206
    DOI: 10.1016/j.apenergy.2018.07.039
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