IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v75y2015i3p2673-2682.html
   My bibliography  Save this article

Exploring commercial sector building energy consumption in China

Author

Listed:
  • Ming Zhang

    ()

  • Yan Song

    ()

  • Lixia Yao

Abstract

With the development of economy, commercial sector building energy consumption becomes more and more noticeable in China. The aim of this paper was to study the influencing factors governing commercial sector building energy consumption and the decoupling relation between building energy consumption and commercial sector economic development. The main results of this paper are as follows: (1) Commercial sector energy intensity decreased from 61.78 gce/yuan in 1991 to 36.70 gce/yuan in 2011, representing a decrease of 40.59 %. Since 2003, electricity has exceeded coal products and become the dominating energy. (2) The economic activity effect makes a positive contributor to the increase in commercial sector building energy consumption; however, the energy intensity effect plays an important role in decreasing energy consumption, followed by the energy structure effect. Same results have also been observed according to the relational degree. (3) Only four kinds of decoupling index occurred over 1991–2011. Strong decoupling occurred only in the years 1994, 1997, and 2008. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Ming Zhang & Yan Song & Lixia Yao, 2015. "Exploring commercial sector building energy consumption in China," 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. 75(3), pages 2673-2682, February.
  • Handle: RePEc:spr:nathaz:v:75:y:2015:i:3:p:2673-2682
    DOI: 10.1007/s11069-014-1452-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-014-1452-5
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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. Zhang, Zhongxiang, 2000. "Decoupling China's Carbon Emissions Increase from Economic Growth: An Economic Analysis and Policy Implications," World Development, Elsevier, vol. 28(4), pages 739-752, April.
    3. Hua Liao & Ce Wang & Zhi-Shuang Zhu & Xiao-Wei Ma, 2012. "Structural decomposition analysis on energy intensity changes at regional level," CEEP-BIT Working Papers 40, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    5. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
    6. 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.
    7. Ouyang, Jinlong & Ge, Jian & Hokao, Kazunori, 2009. "Economic analysis of energy-saving renovation measures for urban existing residential buildings in China based on thermal simulation and site investigation," Energy Policy, Elsevier, vol. 37(1), pages 140-149, January.
    8. Zhang, Ming & Liu, Xiao & Wang, Wenwen & Zhou, Min, 2013. "Decomposition analysis of CO2 emissions from electricity generation in China," Energy Policy, Elsevier, vol. 52(C), pages 159-165.
    9. 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.
    10. Xu, Peng & Huang, Joe & Shen, Pengyuan & Ma, Xiaowen & Gao, Xuefei & Xu, Qiaolin & Jiang, Han & Xiang, Yong, 2013. "Commercial building energy use in six cities in Southern China," Energy Policy, Elsevier, vol. 53(C), pages 76-89.
    11. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    12. Zhang, Ming & Guo, Fangyan, 2013. "Analysis of rural residential commercial energy consumption in China," Energy, Elsevier, vol. 52(C), pages 222-229.
    13. Wang, Wenchao & Mu, Hailin & Kang, Xudong & Song, Rongchen & Ning, Yadong, 2010. "Changes in industrial electricity consumption in china from 1998 to 2007," Energy Policy, Elsevier, vol. 38(7), pages 3684-3690, July.
    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. Lu, Mengxue & Lai, Joseph, 2020. "Review on carbon emissions of commercial buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    2. Jin Wei & Fangsi Yu & Haixiu Liang & Maohui Luo, 2020. "Thermal Performance of Vertical Courtyard System in Office Buildings Under Typical Hot Days in Hot-Humid Climate Area: A Case Study," Sustainability, MDPI, Open Access Journal, vol. 12(7), pages 1-14, March.

    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:spr:nathaz:v:75:y:2015:i:3:p:2673-2682. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Springer Nature Abstracting and Indexing). General contact details of provider: http://www.springer.com .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.