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An investigation of the role of China's urban population on coal consumption

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  • Michieka, Nyakundi M.
  • Fletcher, Jerald J.

Abstract

This paper investigates the causal relationship between urban population, real GDP, electricity production and coal consumption in China for the period 1971–2009. Using a vector autoregression framework and a modified version of the Granger (1969) causality test proposed by Toda and Yamamoto (J. Econ. 66 (1995) 225), the results suggest that there is causality running from GDP to coal consumption. The variance decomposition analysis report that urban population and coal affect electricity production variability over the forecast period. We also find that increasing urban population may negatively affect China's GDP over time. Policy measures aimed at influencing GDP could ultimately affect coal consumption.

Suggested Citation

  • Michieka, Nyakundi M. & Fletcher, Jerald J., 2012. "An investigation of the role of China's urban population on coal consumption," Energy Policy, Elsevier, vol. 48(C), pages 668-676.
    • Handle: RePEc:eee:enepol:v:48:y:2012:i:c:p:668-676
    DOI: 10.1016/j.enpol.2012.05.080
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    Cited by:

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    3. Brantley Liddle & George Messinis, 2015. "Which comes first - urbanization or economic growth? Evidence from heterogeneous panel causality tests," Applied Economics Letters, Taylor & Francis Journals, vol. 22(5), pages 349-355, March.
    4. Yanbin Li & Zhen Li, 2019. "Forecasting of Coal Demand in China Based on Support Vector Machine Optimized by the Improved Gravitational Search Algorithm," Energies, MDPI, vol. 12(12), pages 1-20, June.
    5. Dariusz Fuksa, 2021. "A Method for Assessing the Impact of Changes in Demand for Coal on the Structure of Coal Grades Produced by Mines," Energies, MDPI, vol. 14(21), pages 1-34, November.
    6. 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.
    7. 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).
    8. Chai, Jian & Du, Mengfan & Liang, Ting & Sun, Xiaojie Christine & Yu, Ji & Zhang, Zhe George, 2019. "Coal consumption in China: How to bend down the curve?," Energy Economics, Elsevier, vol. 80(C), pages 38-47.
    9. Li, Bing-Bing & Liang, Qiao-Mei & Wang, Jin-Cheng, 2015. "A comparative study on prediction methods for China's medium- and long-term coal demand," Energy, Elsevier, vol. 93(P2), pages 1671-1683.
    10. Shahbaz, Muhammad & Chaudhary, A.R. & Ozturk, Ilhan, 2017. "Does urbanization cause increasing energy demand in Pakistan? Empirical evidence from STIRPAT model," Energy, Elsevier, vol. 122(C), pages 83-93.
    11. Razek, Noha H.A. & Michieka, Nyakundi M., 2019. "OPEC and non-OPEC production, global demand, and the financialization of oil," Research in International Business and Finance, Elsevier, vol. 50(C), pages 201-225.
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    China; Coal; Population;
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