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Government expenditure and energy intensity in China

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  • Yuxiang, Karl
  • Chen, Zhongchang

Abstract

The recent economic stimulus package of China has raised growing concern about its potential impact on energy demand and efficiency. To what extent does such expansion of government expenditure influence energy intensity? This question has not been well answered by the previous research. Using provincial panel data, this paper provides some evidence of a link between government expenditure and energy intensity in China. The empirical results demonstrate that the expansion of government expenditure since Asian financial crisis has exerted a significant influence on energy intensity. An increase in government expenditure in China leads to an increase in energy intensity. Further analysis compares such relationships in different economic situations. The comparison shows that such positive effect of government expenditure remains significant after the alteration in economic situation. Therefore, the results suggest introducing some measures to consolidate China's existing gains in energy efficiency. The analysis also explains why the downward trend in energy intensity is reversed in China since 2002.

Suggested Citation

  • Yuxiang, Karl & Chen, Zhongchang, 2010. "Government expenditure and energy intensity in China," Energy Policy, Elsevier, vol. 38(2), pages 691-694, February.
    • Handle: RePEc:eee:enepol:v:38:y:2010:i:2:p:691-694
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    References listed on IDEAS

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    1. Liao, Hua & Fan, Ying & Wei, Yi-Ming, 2007. "What induced China's energy intensity to fluctuate: 1997-2006?," Energy Policy, Elsevier, vol. 35(9), pages 4640-4649, September.
    2. Fisher-Vanden, Karen & Jefferson, Gary H. & Liu, Hongmei & Tao, Quan, 2004. "What is driving China's decline in energy intensity?," Resource and Energy Economics, Elsevier, vol. 26(1), pages 77-97, March.
    3. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    4. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    5. Ang, B.W. & Liu, N., 2006. "A cross-country analysis of aggregate energy and carbon intensities," Energy Policy, Elsevier, vol. 34(15), pages 2398-2404, October.
    6. Zhang, ZhongXiang, 2008. "Asian energy and environmental policy: Promoting growth while preserving the environment," Energy Policy, Elsevier, vol. 36(10), pages 3905-3924, October.
    7. Andrews-Speed, Philip, 2009. "China's ongoing energy efficiency drive: Origins, progress and prospects," Energy Policy, Elsevier, vol. 37(4), pages 1331-1344, April.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    9. Sinton, Jonathan E. & Fridley, David G., 2000. "What goes up: recent trends in China's energy consumption," Energy Policy, Elsevier, vol. 28(10), pages 671-687, August.
    10. Wei, Na & Yong, Wu & Yan, Song & Zhongcheng, Dong, 2009. "Government management and implementation of national real-time energy monitoring system for China large-scale public building," Energy Policy, Elsevier, vol. 37(6), pages 2087-2091, June.
    11. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    12. Gallagher, Kelly Sims, 2006. "Limits to leapfrogging in energy technologies? Evidence from the Chinese automobile industry," Energy Policy, Elsevier, vol. 34(4), pages 383-394, March.
    13. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    14. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Huang, Bwo-Nung & Hwang, M.J. & Yang, C.W., 2008. "Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach," Ecological Economics, Elsevier, vol. 67(1), pages 41-54, August.
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