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A comparative study of energy consumption and efficiency of Japanese and Chinese manufacturing industry

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  • Zhao, Yue
  • Ke, Jing
  • Ni, Chun Chun
  • McNeil, Michael
  • Khanna, Nina Zheng
  • Zhou, Nan
  • Fridley, David
  • Li, Qiqiang

Abstract

The industrial sector consumes about 50% of the world׳s delivered energy and thus has a large impact on the world׳s energy production and consumption. Japan is one of the leading countries in industrial efficiency while China is the world׳s largest industrial energy consumer. This study analyzes the energy consumption and efficiency of the Japanese and Chinese manufacturing industry. Analysis shows that the energy intensity of both Japanese and Chinese manufacturing industry has decreased significantly. Decomposition analysis shows that the efficiency effect played an important role in reducing energy intensity; improvement of the energy efficiency of both Japanese and Chinese manufacturing industry showed a trend of exponential decay. Structural effect significantly reduced the energy intensity of the Japanese manufacturing industry while having a relatively small influence on the energy intensity of the Chinese manufacturing industry. Our analysis also shows a strong association of industrial energy efficiency improvement with energy policies, highlighting that energy efficiency policies can play an important role in the reduction of industrial energy intensity. The results of this study also underscore the important, yet very challenging, task of achieving structural change to further improve efficiency.

Suggested Citation

  • Zhao, Yue & Ke, Jing & Ni, Chun Chun & McNeil, Michael & Khanna, Nina Zheng & Zhou, Nan & Fridley, David & Li, Qiqiang, 2014. "A comparative study of energy consumption and efficiency of Japanese and Chinese manufacturing industry," Energy Policy, Elsevier, vol. 70(C), pages 45-56.
    • Handle: RePEc:eee:enepol:v:70:y:2014:i:c:p:45-56
    DOI: 10.1016/j.enpol.2014.02.034
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    as
    1. Worrell, E. & van Heijningen, R.J.J. & de Castro, J.F.M. & Hazewinkel, J.H.O. & de Beer, J.G. & Faaij, A.P.C. & Vringer, K., 1994. "New gross energy-requirement figures for materials production," Energy, Elsevier, vol. 19(6), pages 627-640.
    2. Rivero, R. & Garfias, M., 2006. "Standard chemical exergy of elements updated," Energy, Elsevier, vol. 31(15), pages 3310-3326.
    3. Zhou, Sheng & Kyle, G. Page & Yu, Sha & Clarke, Leon E. & Eom, Jiyong & Luckow, Patrick & Chaturvedi, Vaibhav & Zhang, Xiliang & Edmonds, James A., 2013. "Energy use and CO2 emissions of China's industrial sector from a global perspective," Energy Policy, Elsevier, vol. 58(C), pages 284-294.
    4. Price, Lynn & Wang, Xuejun & Yun, Jiang, 2010. "The challenge of reducing energy consumption of the Top-1000 largest industrial enterprises in China," Energy Policy, Elsevier, vol. 38(11), pages 6485-6498, November.
    5. Geller, Howard & Harrington, Philip & Rosenfeld, Arthur H. & Tanishima, Satoshi & Unander, Fridtjof, 2006. "Polices for increasing energy efficiency: Thirty years of experience in OECD countries," Energy Policy, Elsevier, vol. 34(5), pages 556-573, March.
    6. Ang, B.W. & Liu, Na, 2007. "Negative-value problems of the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 739-742, January.
    7. Shibata, Hirofumi, 1983. "The energy crises and Japanese response," Resources and Energy, Elsevier, vol. 5(2), pages 129-154, June.
    8. Ke, Jing & Price, Lynn & Ohshita, Stephanie & Fridley, David & Khanna, Nina Zheng & Zhou, Nan & Levine, Mark, 2012. "China's industrial energy consumption trends and impacts of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects," Energy Policy, Elsevier, vol. 50(C), pages 562-569.
    9. Ke, Jing & Price, Lynn & McNeil, Michael & Khanna, Nina Zheng & Zhou, Nan, 2013. "Analysis and practices of energy benchmarking for industry from the perspective of systems engineering," Energy, Elsevier, vol. 54(C), pages 32-44.
    10. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    11. Rawski, Thomas G., 2001. "What is happening to China's GDP statistics?," China Economic Review, Elsevier, vol. 12(4), pages 347-354.
    12. Andrews-Speed, Philip, 2009. "China's ongoing energy efficiency drive: Origins, progress and prospects," Energy Policy, Elsevier, vol. 37(4), pages 1331-1344, April.
    13. Gasparatos, Alexandros & Gadda, Tatiana, 2009. "Environmental support, energy security and economic growth in Japan," Energy Policy, Elsevier, vol. 37(10), pages 4038-4048, October.
    14. Sinton, Jonathan E & Levine, Mark D & Qingyi, Wang, 1998. "Energy efficiency in China: accomplishments and challenges," Energy Policy, Elsevier, vol. 26(11), pages 813-829, September.
    15. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    Full references (including those not matched with items on IDEAS)

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