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Scenarios of China's oil consumption per capita (OCPC) using a hybrid Factor Decomposition–System Dynamics (SD) simulation

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  • Tao, Zaipu

Abstract

This paper describes a study that combined traditional Factor Decomposition method and System Dynamics (SD) modeling in the quest to predict the pattern of future oil consumption per capita (OCPC).

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:1:p:168-180
    DOI: 10.1016/j.energy.2009.09.007
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    References listed on IDEAS

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    1. Tao, Zaipu & Li, Mingyu, 2007. "System dynamics model of Hubbert Peak for China's oil," Energy Policy, Elsevier, vol. 35(4), pages 2281-2286, April.
    2. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    3. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
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    Citations

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    Cited by:

    1. 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.
    2. Pan, Xunzhang & Wang, Lining & Dai, Jiaquan & Zhang, Qi & Peng, Tianduo & Chen, Wenying, 2020. "Analysis of China’s oil and gas consumption under different scenarios toward 2050: An integrated modeling," Energy, Elsevier, vol. 195(C).
    3. Reza Hafezi & Amir Naser Akhavan & Mazdak Zamani & Saeed Pakseresht & Shahaboddin Shamshirband, 2019. "Developing a Data Mining Based Model to Extract Predictor Factors in Energy Systems: Application of Global Natural Gas Demand," Energies, MDPI, vol. 12(21), pages 1-22, October.
    4. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    5. Zhang, XiaoHong & Hu, He & Zhang, Rong & Deng, ShiHuai, 2014. "Interactions between China׳s economy, energy and the air emissions and their policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 624-638.
    6. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
    7. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Scenario Analysis and Path Selection of Low-Carbon Transformation in China Based on a Modified IPAT Model," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-9, October.
    8. Huilu Yu & Youning Yan & Suocheng Dong, 2019. "A System Dynamics Model to Assess the Effectiveness of Governmental Support Policies for Renewable Electricity," Sustainability, MDPI, vol. 11(12), pages 1-27, June.
    9. Liu, Hong & Wang, Chang & Tian, Meiyu & Wen, Fenghua, 2019. "Analysis of regional difference decomposition of changes in energy consumption in China during 1995–2015," Energy, Elsevier, vol. 171(C), pages 1139-1149.
    10. Li, Fu Jia & Dong, Suo Cheng & Li, Fei, 2012. "A system dynamics model for analyzing the eco-agriculture system with policy recommendations," Ecological Modelling, Elsevier, vol. 227(C), pages 34-45.
    11. Siti Hanani Isa & Mohd Noor Afiq Ramlee & Muhamad Safiih Lola & Mhd Ikhwanuddin & Mohamad N Azra & Mohd Tajuddin Abdullah & Syerrina Zakaria & Yahaya Ibrahim, 2021. "A system dynamics model for analysing the eco-aquaculture system of integrated aquaculture park in Malaysia with policy recommendations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 511-533, January.

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