IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/50305.html
   My bibliography  Save this paper

China's energy statistics in a global context: A methodology to develop regional energy balances for East, Central and West China

Author

Listed:
  • Mischke, Peggy

Abstract

Reliable, timely and accurate economic and energy data are critical to carry out analysis of energy system changes. An energy balance, characterizing fuels/commodities used in energy supply, transformation and sectoral end uses is an essential tool to calibrate energy system models used for research and policy analysis. An improved understanding of the quality and reliability of Chinese economic and energy data is becoming more important to to understanding global energy markets and future greenhouse gas emissions. China's national statistical system to track such changes is however still developing and, in some instances, energy data remain unavailable in the public domain. This working paper discusses China's energy and economic statistics in view of identifying suitable indicators to develop a simplified regional energy systems for China from a variety of publicly available data. As China's national statistical system continuous to be debated and criticised in terms of data quality, comparability and reliability, an overview of the milestones, status and main issues of China's energy statistics is given. In a next step, the energy balance format of the International Energy Agency is used as an international benchmark to analyze China's national energy statistics in detail and identify indicators to establish regional energy balances inside China. Although this methodology includes a range of data uncertainties, it is intended to stimulate the discussion about current and future regional energy system developments in China in a broader global context. More international comparable and transparent research is needed to better understand and assess China’s progress toward meeting energy supply security targets and emission reduction goals, both at a regional, national and global level.

Suggested Citation

  • Mischke, Peggy, 2013. "China's energy statistics in a global context: A methodology to develop regional energy balances for East, Central and West China," MPRA Paper 50305, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:50305
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/50305/1/MPRA_paper_50145.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sinton, Jonathan E., 2001. "Accuracy and reliability of China's energy statistics," China Economic Review, Elsevier, vol. 12(4), pages 373-383.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dai, Hancheng & Mischke, Peggy & Xie, Xuxuan & Xie, Yang & Masui, Toshihiko, 2016. "Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions," Applied Energy, Elsevier, vol. 162(C), pages 1355-1373.
    2. Ma, Ben & Liu, Min, 2022. "Improved statistical consistency: The effect of data revisions on the energy use gap between China and its provinces," China Economic Review, Elsevier, vol. 73(C).
    3. Mischke, Peggy & Xiong, Weiming, 2015. "Mapping and benchmarking regional disparities in China’s energy supply, transformation, and end-use in 2010," Applied Energy, Elsevier, vol. 143(C), pages 359-369.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Teng, Meixuan & Burke, Paul J. & Liao, Hua, 2019. "The demand for coal among China's rural households: Estimates of price and income elasticities," Energy Economics, Elsevier, vol. 80(C), pages 928-936.
    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. Ma, Ben & Zheng, Xinye, 2018. "Biased data revisions: Unintended consequences of China's energy-saving mandates," China Economic Review, Elsevier, vol. 48(C), pages 102-113.
    4. Michieka, Nyakundi M. & Fletcher, Jerald & Burnett, Wesley, 2013. "An empirical analysis of the role of China’s exports on CO2 emissions," Applied Energy, Elsevier, vol. 104(C), pages 258-267.
    5. Steenhof, Paul A., 2006. "Decomposition of electricity demand in China's industrial sector," Energy Economics, Elsevier, vol. 28(3), pages 370-384, May.
    6. Price, L & Sinton, J & Worrell, E & Phylipsen, D & Xiulian, H & Ji, L, 2002. "Energy use and carbon dioxide emissions from steel production in China," Energy, Elsevier, vol. 27(5), pages 429-446.
    7. Wang, Xin, 2011. "On China's energy intensity statistics: Toward a comprehensive and transparent indicator," Energy Policy, Elsevier, vol. 39(11), pages 7284-7289.
    8. He, Jie, 2005. "Estimating the economic cost of China's new desulfur policy during her gradual accession to WTO: The case of industrial SO2 emission," China Economic Review, Elsevier, vol. 16(4), pages 364-402.
    9. Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015. "China’s farewell to coal: A forecast of coal consumption through 2020," Energy Policy, Elsevier, vol. 86(C), pages 444-455.
    10. Zhang, Zengkai & Guo, Ju'e & Hewings, Geoffrey J.D., 2014. "The effects of direct trade within China on regional and national CO2 emissions," Energy Economics, Elsevier, vol. 46(C), pages 161-175.
    11. Zheng, Heran & Shan, Yuli & Mi, Zhifu & Meng, Jing & Ou, Jiamin & Schroeder, Heike & Guan, Dabo, 2018. "How modifications of China's energy data affect carbon mitigation targets," Energy Policy, Elsevier, vol. 116(C), pages 337-343.
    12. Haoyang Zhao & Jian Xu & Xinteng Liu, 2017. "How to evaluate the reliability of regional input–output data? A case for China," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-22, December.
    13. Fujimori, Shinichiro & Matsuoka, Yuzuru, 2011. "Development of method for estimation of world industrial energy consumption and its application," Energy Economics, Elsevier, vol. 33(3), pages 461-473, May.
    14. Ma, Hengyun & Oxley, Les & Gibson, John, 2010. "China's energy economy: A survey of the literature," Economic Systems, Elsevier, vol. 34(2), pages 105-132, June.
    15. Ma, Hengyun & Oxley, Les & Gibson, John & Li, Wen, 2010. "A survey of China's renewable energy economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 438-445, January.
    16. L. Alan Winters & Shahid Yusuf, 2007. "Dancing with the Giants: China, India, and the Global Economy," World Bank Publications - Books, The World Bank Group, number 6632.
    17. Wang, Qiang & Chen, Xi, 2015. "Energy policies for managing China’s carbon emission," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 470-479.
    18. Burke, Paul J. & Liao, Hua, 2015. "Is the price elasticity of demand for coal in China increasing?," China Economic Review, Elsevier, vol. 36(C), pages 309-322.
    19. Akkemik, K. Ali & Göksal, Koray & Li, Jia, 2012. "Energy consumption and income in Chinese provinces: Heterogeneous panel causality analysis," Applied Energy, Elsevier, vol. 99(C), pages 445-454.
    20. Kahrl, Fredrich & Roland-Holst, David, 2009. "Growth and structural change in China's energy economy," Energy, Elsevier, vol. 34(7), pages 894-903.

    More about this item

    Keywords

    China Statistics; China Energy Economy; China Regional Energy Balance; IEA; UN ISIC;
    All these keywords.

    JEL classification:

    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:50305. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.