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Has energy efficiency performance improved in China?—non-energy sectors evidence from sequenced hybrid energy use tables

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  • Wu, Kaiyao
  • Shi, Jiyuan
  • Yang, Tinggan

Abstract

We conduct a comparative analysis of two energy efficiency indicators for China: heating value energy intensity (HEI) and economic value energy intensity (MEI). We formulate 1997–2002–2007–2012 hybrid energy comparable sequence use tables in an input-output accounting framework, and compare the two indicators using a randomized block ANOVA. The results show that MEIs and HEIs have significantly different variability patterns among sectors and are evolutionarily divergent over time. The directional changes in MEI and HEI are found to be inconsistent at both the sectoral and national levels. A further analysis with a LMDI index decomposition model shows that the difference between HEI LMDI and HEI LMDI is principally caused by energy prices. Based on the evidence from the two indicators and their relationship to energy prices, we are unconvinced about China's purported improvements in energy efficiency in recent years.

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  • Wu, Kaiyao & Shi, Jiyuan & Yang, Tinggan, 2017. "Has energy efficiency performance improved in China?—non-energy sectors evidence from sequenced hybrid energy use tables," Energy Economics, Elsevier, vol. 67(C), pages 169-181.
    • Handle: RePEc:eee:eneeco:v:67:y:2017:i:c:p:169-181
    DOI: 10.1016/j.eneco.2017.08.010
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    as
    1. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    2. Liao, Hua & Wei, Yi-Ming, 2012. "Will the aggregation approach affect energy efficiency performance assessment?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4537-4542.
    3. Lescaroux, François, 2008. "Decomposition of US manufacturing energy intensity and elasticities of components with respect to energy prices," Energy Economics, Elsevier, vol. 30(3), pages 1068-1080, May.
    4. Tanaka, Kanako, 2008. "Assessment of energy efficiency performance measures in industry and their application for policy," Energy Policy, Elsevier, vol. 36(8), pages 2877-2892, August.
    5. Cleveland, Cutler J. & Kaufmann, Robert K. & Stern, David I., 2000. "Aggregation and the role of energy in the economy," Ecological Economics, Elsevier, vol. 32(2), pages 301-317, February.
    6. Gale A. Boyd and Joseph M. Roop, 2004. "A Note on the Fisher Ideal Index Decomposition for Structural Change in Energy Intensity," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 87-102.
    7. Wu, Rong-Hwa & Chen, Chia-Yon, 1990. "On the application of input-output analysis to energy issues," Energy Economics, Elsevier, vol. 12(1), pages 71-76, January.
    8. Brookes, Leonard, 2000. "Energy efficiency fallacies revisited," Energy Policy, Elsevier, vol. 28(6-7), pages 355-366, June.
    9. Wu, Libo & Huo, Hong, 2014. "Energy efficiency achievements in China׳s industrial and transport sectors: How do they rate?," Energy Policy, Elsevier, vol. 73(C), pages 38-46.
    10. Park, Se-Hark, 1992. "Decomposition of industrial energy consumption : An alternative method," Energy Economics, Elsevier, vol. 14(4), pages 265-270, October.
    11. Proskuryakova, L. & Kovalev, A., 2015. "Measuring energy efficiency: Is energy intensity a good evidence base?," Applied Energy, Elsevier, vol. 138(C), pages 450-459.
    12. Lim, Hea-Jin & Yoo, Seung-Hoon & Kwak, Seung-Jun, 2009. "Industrial CO2 emissions from energy use in Korea: A structural decomposition analysis," Energy Policy, Elsevier, vol. 37(2), pages 686-698, February.
    13. Shigemi Kagawa & Hajime Inamura, 2004. "A Spatial Structural Decomposition Analysis of Chinese and Japanese Energy Demand: 1985-1990," Economic Systems Research, Taylor & Francis Journals, vol. 16(3), pages 279-299.
    14. Stern, David I., 1993. "Energy and economic growth in the USA : A multivariate approach," Energy Economics, Elsevier, vol. 15(2), pages 137-150, April.
    15. Sun, J.W & Ang, B.W, 2000. "Some properties of an exact energy decomposition model," Energy, Elsevier, vol. 25(12), pages 1177-1188.
    16. Liang, Qiao-Mei & Fan, Ying & Wei, Yi-Ming, 2007. "Multi-regional input-output model for regional energy requirements and CO2 emissions in China," Energy Policy, Elsevier, vol. 35(3), pages 1685-1700, March.
    17. 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.
    18. Ang, B. W., 1995. "Multilevel decomposition of industrial energy consumption," Energy Economics, Elsevier, vol. 17(1), pages 39-51, January.
    19. Jay Zarnikau, 1999. "A Note: Will Tomorrow's Energy Efficiency Indices Prove Useful in Economic Studies?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 139-145.
    20. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    21. Nishimura, Kazuhiko & Hondo, Hiroki & Uchiyama, Yohji, 1996. "Derivation of energy-embodiment functions to estimate the embodied energy from the material content," Energy, Elsevier, vol. 21(12), pages 1247-1256.
    22. Zarnikau, Jay, 1999. "Defining 'total energy use' in economic studies: does the aggregation approach matter?," Energy Economics, Elsevier, vol. 21(5), pages 485-492, October.
    23. Bor, Yunchang Jeffrey, 2008. "Consistent multi-level energy efficiency indicators and their policy implications," Energy Economics, Elsevier, vol. 30(5), pages 2401-2419, September.
    24. Zhou, Nan & Levine, Mark D. & Price, Lynn, 2010. "Overview of current energy-efficiency policies in China," Energy Policy, Elsevier, vol. 38(11), pages 6439-6452, November.
    25. Yu, Yuqing & Wang, Xiao & Li, Huimin & Qi, Ye & Tamura, Kentaro, 2015. "Ex-post assessment of China's industrial energy efficiency policies during the 11th Five-Year Plan," Energy Policy, Elsevier, vol. 76(C), pages 132-145.
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    2. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2019. "Modelling dynamic impacts of urbanization on disaggregated energy consumption in China: A spatial Durbin modelling and decomposition approach," Energy Policy, Elsevier, vol. 133(C).

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    More about this item

    Keywords

    Energy efficiency performance; Heating value energy intensity; Economic value energy intensity; Energy policy;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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