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Substitution possibilities and determinants of energy intensity for China

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  • Ma, Hengyun
  • Oxley, Les
  • Gibson, John

Abstract

This paper measures technological change, factor demand and inter-factor and inter-fuel substitutability measures for China. We use individual fuel price data and a two-stage approach to estimate total factor cost functions and fuel share equations. Both inter-factor and inter-fuel substitution elasticities are calculated and the change in energy intensity is decomposed into its driving forces. The results suggest that energy is substitutable for capital regionally and for labor nationally. Capital substitutes for energy more easily than labor does. Energy intensity changes vary by region but the major drivers seem to be "budget effect" and the adoption of energy-intensive technologies, which might be embodied in high-level energy-using exports and sectors, capital investment and even old technique and equipment imports. Whether the trend in rising energy intensity continues will be significant for China and the rest of the world.

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Bibliographic Info

Article provided by Elsevier in its journal Energy Policy.

Volume (Year): 37 (2009)
Issue (Month): 5 (May)
Pages: 1793-1804

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Handle: RePEc:eee:enepol:v:37:y:2009:i:5:p:1793-1804

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Web page: http://www.elsevier.com/locate/enpol

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Keywords: China Energy intensity Factor substitution;

References

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Citations

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Cited by:
  1. Hossein Mirshojaeian Hosseini & Shinji Kaneko, 2013. "Fuel Conservation Effect of Energy Subsidy Reform in Iran," IDEC DP2 Series 3-1, Hiroshima University, Graduate School for International Development and Cooperation (IDEC).
  2. Lin, Boqiang & Zhang, Guoliang, 2013. "Estimates of electricity saving potential in Chinese nonferrous metals industry," Energy Policy, Elsevier, vol. 60(C), pages 558-568.
  3. Ma, Hengyun & Oxley, Les & Gibson, John, 2009. "Gradual reforms and the emergence of energy market in China: Evidence from tests for convergence of energy prices," Energy Policy, Elsevier, vol. 37(11), pages 4834-4850, November.
  4. Zha, Donglan & Ding, Ning, 2014. "Elasticities of substitution between energy and non-energy inputs in China power sector," Economic Modelling, Elsevier, vol. 38(C), pages 564-571.
  5. Xia, X.H. & Huang, G.T. & Chen, G.Q. & Zhang, Bo & Chen, Z.M. & Yang, Q., 2011. "Energy security, efficiency and carbon emission of Chinese industry," Energy Policy, Elsevier, vol. 39(6), pages 3520-3528, June.
  6. Yang, Mian & Yang, Fu-Xia & Chen, Xing-Peng, 2011. "Effects of substituting energy with capital on China's aggregated energy and environmental efficiency," Energy Policy, Elsevier, vol. 39(10), pages 6065-6072, October.
  7. Li, Yi & Sun, Linyan & Feng, Taiwen & Zhu, Chunyan, 2013. "How to reduce energy intensity in China: A regional comparison perspective," Energy Policy, Elsevier, vol. 61(C), pages 513-522.
  8. Lin, Boqiang & Wesseh, Presley K., 2013. "Estimates of inter-fuel substitution possibilities in Chinese chemical industry," Energy Economics, Elsevier, vol. 40(C), pages 560-568.
  9. repec:eut:wpaper:01 is not listed on IDEAS
  10. Wang, Xin, 2011. "On China's energy intensity statistics: Toward a comprehensive and transparent indicator," Energy Policy, Elsevier, vol. 39(11), pages 7284-7289.
  11. Zhang, Haiyan & Lahr, Michael L., 2014. "China's energy consumption change from 1987 to 2007: A multi-regional structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 682-693.
  12. Santosh Kumar Sahu & Krishnan Narayanan, 2011. "Total Factor Productivity and Energy Intensity in Indian Manufacturing: A Cross-Sectional Study," International Journal of Energy Economics and Policy, Econjournals, vol. 1(2), pages 47-58, September.

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