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Prospect of the upper limit of the energy demand in China from regional aspects

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  • Ito, Toshihide
  • Chen, Youqing
  • Ito, Shoichi
  • Yamaguchi, Kaoru

Abstract

The aim of this article is to indicate the upper limit of the annual energy demand in China, taking into consideration regional demand trends and projecting these trends into the distant future. The upper limit of energy consumption is not strictly the maximum amount of consumption. It means that the actual consumption will possibly exceed this level but not by much.

Suggested Citation

  • Ito, Toshihide & Chen, Youqing & Ito, Shoichi & Yamaguchi, Kaoru, 2010. "Prospect of the upper limit of the energy demand in China from regional aspects," Energy, Elsevier, vol. 35(12), pages 5320-5327.
  • Handle: RePEc:eee:energy:v:35:y:2010:i:12:p:5320-5327
    DOI: 10.1016/j.energy.2010.07.028
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    References listed on IDEAS

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    1. Tao, Zaipu, 2010. "Scenarios of China's oil consumption per capita (OCPC) using a hybrid Factor Decomposition–System Dynamics (SD) simulation," Energy, Elsevier, vol. 35(1), pages 168-180.
    2. Liao, Hua & Wei, Yi-Ming, 2010. "China's energy consumption: A perspective from Divisia aggregation approach," Energy, Elsevier, vol. 35(1), pages 28-34.
    3. Zhao, Xiaoli & Ma, Chunbo & Hong, Dongyue, 2010. "Why did China's energy intensity increase during 1998-2006: Decomposition and policy analysis," Energy Policy, Elsevier, vol. 38(3), pages 1379-1388, March.
    4. Yang, Ming & Yu, Xin, 2004. "China’s rural electricity market—a quantitative analysis," Energy, Elsevier, vol. 29(7), pages 961-977.
    5. Zhu, Lei & Fan, Ying, 2010. "Optimization of China's generating portfolio and policy implications based on portfolio theory," Energy, Elsevier, vol. 35(3), pages 1391-1402.
    6. Zhang, Ming & Mu, Hailin & Li, Gang & Ning, Yadong, 2009. "Forecasting the transport energy demand based on PLSR method in China," Energy, Elsevier, vol. 34(9), pages 1396-1400.
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    Cited by:

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    4. Xu Tang & Benjamin C. McLellan & Simon Snowden & Baosheng Zhang & Mikael Höök, 2015. "Dilemmas for China: Energy, Economy and Environment," Sustainability, MDPI, vol. 7(5), pages 1-13, May.
    5. Li, Huimin & Wu, Tong & Zhao, Xiaofan & Wang, Xiao & Qi, Ye, 2014. "Regional disparities and carbon “outsourcing”: The political economy of China's energy policy," Energy, Elsevier, vol. 66(C), pages 950-958.
    6. Xu, Tang & Baosheng, Zhang & Lianyong, Feng & Masri, Marwan & Honarvar, Afshin, 2011. "Economic impacts and challenges of China’s petroleum industry: An input–output analysis," Energy, Elsevier, vol. 36(5), pages 2905-2911.
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    10. Behrang, M.A. & Assareh, E. & Ghalambaz, M. & Assari, M.R. & Noghrehabadi, A.R., 2011. "Forecasting future oil demand in Iran using GSA (Gravitational Search Algorithm)," Energy, Elsevier, vol. 36(9), pages 5649-5654.
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