IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v78y2015i1p653-668.html
   My bibliography  Save this article

Exploring influence factors governing the changes in China’s final energy consumption under a new framework

Author

Listed:
  • Ming Zhang
  • Yan Song

Abstract

In this paper, China’s final energy consumption has been divided into two parts: production energy consumption and resident energy consumption. Under this framework, the LMDI method is used to study the nature of the factors governing the changes in final energy consumption. Thus, seven factors are defined in this paper: energy mix effect, energy intensity effect, economic structure effect, economic growth effect, resident income effect, urbanization effect, and population effect. The production energy consumption almost accounted for 90 % of total final energy consumption in 2011. The annual growth rate of resident energy consumption increased to 8.7 % during 2001–2011. The gap in resident energy consumption per capita between urban and rural decreased during 1991–2011. Our results show that the energy intensity effect plays an important role in decreasing final energy consumption. However, the economic growth effect is found to be primarily responsible for driving final energy consumption growth over the study period, followed by resident income effect, population effect, economic structure effect, and urbanization effect. Though the urbanization rate increased rapidly over the period 1991–2011, the urbanization effect plays minor contribution to the increase in final energy consumption among all factors. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Ming Zhang & Yan Song, 2015. "Exploring influence factors governing the changes in China’s final energy consumption under a new framework," 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. 78(1), pages 653-668, August.
  • Handle: RePEc:spr:nathaz:v:78:y:2015:i:1:p:653-668
    DOI: 10.1007/s11069-015-1738-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-015-1738-2
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-015-1738-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Li, Huanan & Mu, Hailin & Zhang, Ming & Gui, Shusen, 2012. "Analysis of regional difference on impact factors of China’s energy – Related CO2 emissions," Energy, Elsevier, vol. 39(1), pages 319-326.
    2. Malla, Sunil, 2009. "CO2 emissions from electricity generation in seven Asia-Pacific and North American countries: A decomposition analysis," Energy Policy, Elsevier, vol. 37(1), pages 1-9, January.
    3. Wang, Can & Chen, Jining & Zou, Ji, 2005. "Decomposition of energy-related CO2 emission in China: 1957–2000," Energy, Elsevier, vol. 30(1), pages 73-83.
    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. Fan, Ying & Xia, Yan, 2012. "Exploring energy consumption and demand in China," Energy, Elsevier, vol. 40(1), pages 23-30.
    6. J., Pablo Muñoz & Hubacek, Klaus, 2008. "Material implication of Chile's economic growth: Combining material flow accounting (MFA) and structural decomposition analysis (SDA)," Ecological Economics, Elsevier, vol. 65(1), pages 136-144, March.
    7. 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.
    8. 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.
    9. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
    10. 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.
    11. Ren, Shenggang & Hu, Zhen, 2012. "Effects of decoupling of carbon dioxide emission by Chinese nonferrous metals industry," Energy Policy, Elsevier, vol. 43(C), pages 407-414.
    12. Sun, J.W., 1998. "Accounting for energy use in China, 1980–94," Energy, Elsevier, vol. 23(10), pages 835-849.
    13. 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.
    14. Liu, Lan-Cui & Fan, Ying & Wu, Gang & Wei, Yi-Ming, 2007. "Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis," Energy Policy, Elsevier, vol. 35(11), pages 5892-5900, November.
    15. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    16. 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.
    17. Zhang, Ming & Mu, Hailin & Ning, Yadong & Song, Yongchen, 2009. "Decomposition of energy-related CO2 emission over 1991-2006 in China," Ecological Economics, Elsevier, vol. 68(7), pages 2122-2128, May.
    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. Wang, Wenwen & Li, Man & Zhang, Ming, 2017. "Study on the changes of the decoupling indicator between energy-related CO2 emission and GDP in China," Energy, Elsevier, vol. 128(C), pages 11-18.
    2. Pan, Xiongfeng & Guo, Shucen & Han, Cuicui & Wang, Mengyang & Song, Jinbo & Liao, Xianchun, 2020. "Influence of FDI quality on energy efficiency in China based on seemingly unrelated regression method," Energy, Elsevier, vol. 192(C).
    3. Olimpia Neagu & Mircea Constantin Teodoru, 2019. "The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries," Sustainability, MDPI, vol. 11(2), pages 1-29, January.
    4. Buhari Doğan & Oana M. Driha & Daniel Balsalobre Lorente & Umer Shahzad, 2021. "The mitigating effects of economic complexity and renewable energy on carbon emissions in developed countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 1-12, January.
    5. Hu, Yuan & Peng, Ling & Li, Xiang & Yao, Xiaojing & Lin, Hui & Chi, Tianhe, 2018. "A novel evolution tree for analyzing the global energy consumption structure," Energy, Elsevier, vol. 147(C), pages 1177-1187.
    6. Qian Wang & Qiao-Mei Liang & Bing Wang & Fang-Xun Zhong, 2016. "Impact of household expenditures on CO2 emissions in China: Income-determined or lifestyle-driven?," 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. 84(1), pages 353-379, November.
    7. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    8. Bashir, Muhammad Farhan & MA, Benjiang & Hussain, Hafezali Iqbal & Shahbaz, Muhammad & Koca, Kemal & Shahzadi, Irum, 2022. "Evaluating environmental commitments to COP21 and the role of economic complexity, renewable energy, financial development, urbanization, and energy innovation: Empirical evidence from the RCEP countr," Renewable Energy, Elsevier, vol. 184(C), pages 541-550.
    9. Duarte, Rosa & Langarita, Raquel & Sánchez-Chóliz, Julio, 2017. "The electricity industry in Spain: A structural analysis using a disaggregated input-output model," Energy, Elsevier, vol. 141(C), pages 2640-2651.

    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. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    2. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    3. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 30-45.
    4. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    5. Wang, Wenwen & Liu, Xiao & Zhang, Ming & Song, Xuefeng, 2014. "Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China's energy consumption," Energy, Elsevier, vol. 67(C), pages 617-622.
    6. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2015. "Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 252-260.
    7. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    8. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Effect of Construction Land Expansion on Energy-Related Carbon Emissions: Empirical Analysis of China and Its Provinces from 2001 to 2011," Energies, MDPI, vol. 8(6), pages 1-22, June.
    9. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    10. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.
    11. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    12. Li, Huimin & Wu, Tong & Zhao, Xiaofan & Wang, Xiao & Qi, Ye, 2014. "Regional disparities and carbon “outsourcing”: The political economy of China's energy policy," Energy, Elsevier, vol. 66(C), pages 950-958.
    13. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
    14. Hu, Junfeng & Kahrl, Fredrich & Yan, Qingyou & Wang, Xiaoya, 2012. "The impact of China's differential electricity pricing policy on power sector CO2 emissions," Energy Policy, Elsevier, vol. 45(C), pages 412-419.
    15. Andreoni, V. & Galmarini, S., 2012. "European CO2 emission trends: A decomposition analysis for water and aviation transport sectors," Energy, Elsevier, vol. 45(1), pages 595-602.
    16. Lin, Boqiang & Tan, Ruipeng, 2017. "Sustainable development of China's energy intensive industries: From the aspect of carbon dioxide emissions reduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 386-394.
    17. Dequn Zhou & Xiao Liu & Peng Zhou & Qunwei Wang, 2017. "Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method," Sustainability, MDPI, vol. 9(5), pages 1-13, April.
    18. Wang, Zhiping & Feng, Chao & Chen, Jinyu & Huang, Jianbai, 2017. "The driving forces of material use in China: An index decomposition analysis," Resources Policy, Elsevier, vol. 52(C), pages 336-348.
    19. Xing Zhou & Meihua Zhou & Ming Zhang, 2016. "Contrastive analyses of the influence factors of interprovincial carbon emission induced by industry energy 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. 81(3), pages 1405-1433, April.
    20. Huang, Yun-Hsun, 2020. "Examining impact factors of residential electricity consumption in Taiwan using index decomposition analysis based on end-use level data," Energy, Elsevier, vol. 213(C).

    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:78:y:2015:i:1:p:653-668. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.