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Past as Prologue? Understanding energy use in post-2002 China

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  • Kahrl, Fredrich
  • Roland-Holst, David
  • Zilberman, David

Abstract

From 2002 to 2009, China's energy use nearly doubled, making it the world's largest emitter of carbon dioxide more than a decade ahead of forecasts. Why did energy use in China rise so rapidly after 2002? Using index decomposition analysis, we find that the vast majority of growth in energy consumption in China over the 2000s was due to GDP growth, with a small but important amount due to structural change as a result of China's emergence as a net metals exporter. Changing prices and data anomalies make energy intensity and structural change appear to be more important drivers of energy consumption than they actually were; the infamous reversal in energy intensity in China from 2002 to 2004 may simply be an artifact of difficulties in accurately deflating value added. About half of the growth in energy consumption in China from 2002 to 2007 was driven by heavy industry. Using structural decomposition analysis, we find that growth in heavy industrial output was due primarily to growth in construction and equipment investment, with a small amount due to an increase in net metal exports. In tandem, these two findings suggest that the primary driver of energy consumption in China after 2002 was an acceleration of the country's investment-dominated model of GDP growth. Without rebalancing the economy toward consumption, there are limits to what improvements in energy conversion efficiency and end use energy efficiency can achieve in moderating growth in China's energy use.

Suggested Citation

  • Kahrl, Fredrich & Roland-Holst, David & Zilberman, David, 2013. "Past as Prologue? Understanding energy use in post-2002 China," Energy Economics, Elsevier, vol. 36(C), pages 759-771.
  • Handle: RePEc:eee:eneeco:v:36:y:2013:i:c:p:759-771
    DOI: 10.1016/j.eneco.2012.11.018
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    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Mr. Tarhan Feyzioglu & Mr. Nathan Porter & Elöd Takáts, 2009. "Interest Rate Liberalization in China," IMF Working Papers 2009/171, International Monetary Fund.
    3. Mr. Steven A Barnett & Mr. R. Brooks, 2006. "What’s Driving Investment in China?," IMF Working Papers 2006/265, International Monetary Fund.
    4. Ang, B.W. & Mu, A.R. & Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, Elsevier, vol. 32(5), pages 1209-1219, September.
    5. Chai, Jian & Guo, Ju-E & Wang, Shou-Yang & Lai, Kin Keung, 2009. "Why does energy intensity fluctuate in China?," Energy Policy, Elsevier, vol. 37(12), pages 5717-5731, December.
    6. 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.
    7. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    8. Wu, Libo & Kaneko, Shinji & Matsuoka, Shunji, 2006. "Dynamics of energy-related CO2 emissions in China during 1980 to 2002: The relative importance of energy supply-side and demand-side effects," Energy Policy, Elsevier, vol. 34(18), pages 3549-3572, December.
    9. 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.
    10. Chung, Hyun-Sik & Rhee, Hae-Chun, 2001. "A residual-free decomposition of the sources of carbon dioxide emissions: a case of the Korean industries," Energy, Elsevier, vol. 26(1), pages 15-30.
    11. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    12. Rawski, Thomas G., 2001. "What is happening to China's GDP statistics?," China Economic Review, Elsevier, vol. 12(4), pages 347-354.
    13. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    14. Nicholas R. Lardy, 2008. "Financial Repression in China," Policy Briefs PB08-8, Peterson Institute for International Economics.
    15. Ma, Chunbo, 2010. "Account for sector heterogeneity in China's energy consumption: Sector price indices vs. GDP deflator," Energy Economics, Elsevier, vol. 32(1), pages 24-29, January.
    16. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    17. Price, Lynn & Wang, Xuejun & Yun, Jiang, 2010. "The challenge of reducing energy consumption of the Top-1000 largest industrial enterprises in China," Energy Policy, Elsevier, vol. 38(11), pages 6485-6498, November.
    18. World Bank, 2011. "World Development Indicators 2011," World Bank Publications - Books, The World Bank Group, number 2315.
    19. Price, Lynn & Levine, Mark D. & Zhou, Nan & Fridley, David & Aden, Nathaniel & Lu, Hongyou & McNeil, Michael & Zheng, Nina & Qin, Yining & Yowargana, Ping, 2011. "Assessment of China's energy-saving and emission-reduction accomplishments and opportunities during the 11th Five Year Plan," Energy Policy, Elsevier, vol. 39(4), pages 2165-2178, April.
    20. Lenzen, Manfred, 2006. "Decomposition analysis and the mean-rate-of-change index," Applied Energy, Elsevier, vol. 83(3), pages 185-198, March.
    21. Ang, B.W. & Liu, Na, 2007. "Negative-value problems of the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 739-742, January.
    22. Yuxiang, Karl & Chen, Zhongchang, 2010. "Government expenditure and energy intensity in China," Energy Policy, Elsevier, vol. 38(2), pages 691-694, February.
    23. Kahrl, Fredrich & Roland-Holst, David, 2009. "Growth and structural change in China's energy economy," Energy, Elsevier, vol. 34(7), pages 894-903.
    24. 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.
    25. Zhou, Nan & Levine, Mark D. & Price, Lynn, 2010. "Overview of current energy-efficiency policies in China," Energy Policy, Elsevier, vol. 38(11), pages 6439-6452, November.
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    Cited by:

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    2. Gao, Yuan & Chong, Chin Hao & Liu, Gengyuan & Casazza, Marco & Xiong, Xiaoping & Liu, Bojie & Zhou, Xuanru & Zhou, Xiaoyong & Li, Zheng & Ni, Weidou & Hao, Yan & Ma, Linwei, 2024. "Identification of carbon responsibility factors based on energy consumption from 2005 to 2020 in China," Energy, Elsevier, vol. 296(C).
    3. Juan Wang & Tao Zhao & Xiaohu Zhang, 2017. "Changes in carbon intensity of China’s energy-intensive industries: a combined decomposition and attribution analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1655-1675, September.
    4. Liu, Nan & Ma, Zujun & Kang, Jidong, 2015. "Changes in carbon intensity in China's industrial sector: Decomposition and attribution analysis," Energy Policy, Elsevier, vol. 87(C), pages 28-38.
    5. Jin Zhang and David C. Broadstock, 2016. "The Causality between Energy Consumption and Economic Growth for China in a Time-varying Framework," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    6. Liu, Nan & Ma, Zujun & Kang, Jidong & Su, Bin, 2019. "A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015," Energy Policy, Elsevier, vol. 129(C), pages 410-421.
    7. Yanli Ji & Jie Xue & Zitian Fu, 2022. "Sustainable Development of Economic Growth, Energy-Intensive Industries and Energy Consumption: Empirical Evidence from China’s Provinces," Sustainability, MDPI, vol. 14(12), pages 1-20, June.

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    Keywords

    China; Energy; Economy; Structural change;
    All these keywords.

    JEL classification:

    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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