IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i4p3919-3932d47675.html
   My bibliography  Save this article

Structural Evolution of Household Energy Consumption: A China Study

Author

Listed:
  • Qingsong Wang

    () (School of Energy and Power Engineering, Shandong University, 17923 Jingshi Road, Jinan 250061, China
    These authors contributed equally to this work.)

  • Ping Liu

    () (School of Management, Shandong University, 27 Shanda Road, Jinan 250100, China)

  • Xueliang Yuan

    () (School of Energy and Power Engineering, Shandong University, 17923 Jingshi Road, Jinan 250061, China
    These authors contributed equally to this work.)

  • Xingxing Cheng

    () (School of Energy and Power Engineering, Shandong University, 17923 Jingshi Road, Jinan 250061, China)

  • Rujian Ma

    () (School of Energy and Power Engineering, Shandong University, 17923 Jingshi Road, Jinan 250061, China)

  • Ruimin Mu

    () (School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Jian Zuo

    () (School of Natural and Built Environments, University of South Australia, Adelaide 5000, Australia)

Abstract

Sustainable energy production and consumption is one of the issues for the sustainable development strategy in China. As China’s economic development paradigm shifts, household energy consumption (HEC) has become a focus of achieving national goals of energy efficiency and greenhouse gas reduction. The information entropy model and LMDI model were employed in this study in order to analyse the structural evolution of HEC, as well as its associated critical factors. The results indicate that the information entropy of HEC increased gradually, and coal will be reduced by clean energies, such as natural gas and liquefied petroleum gas. The information entropy tends to stabilize and converge due to rapid urbanization. Therefore, from the perspective of environmental protection and natural resource conservation, the structure of household energy consumption will be optimized. This study revealed that residents’ income level is one of the most critical factors for the increase of energy consumption, while the energy intensity is the only driving force for the reduction of HEC. The accumulated contribution of these two factors to the HEC is 240.53% and −161.75%, respectively. It is imperative to improve the energy efficiency in the residential sector. Recommendations are provided to improve the energy efficiency-related technologies, as well as the standards for the sustainable energy strategy.

Suggested Citation

  • Qingsong Wang & Ping Liu & Xueliang Yuan & Xingxing Cheng & Rujian Ma & Ruimin Mu & Jian Zuo, 2015. "Structural Evolution of Household Energy Consumption: A China Study," Sustainability, MDPI, Open Access Journal, vol. 7(4), pages 1-14, April.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:4:p:3919-3932:d:47675
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/4/3919/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/7/4/3919/
    Download Restriction: no

    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. Linden, Anna-Lisa & Carlsson-Kanyama, Annika & Eriksson, Bjorn, 2006. "Efficient and inefficient aspects of residential energy behaviour: What are the policy instruments for change?," Energy Policy, Elsevier, vol. 34(14), pages 1918-1927, September.
    3. Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2012. "Application of the Structural Decomposition Analysis to assess the indirect energy consumption and air emission changes related to Italian households consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1135-1145.
    4. Mehrara, Mohsen, 2007. "Energy consumption and economic growth: The case of oil exporting countries," Energy Policy, Elsevier, vol. 35(5), pages 2939-2945, May.
    5. Yohanis, Yigzaw Goshu, 2012. "Domestic energy use and householders' energy behaviour," Energy Policy, Elsevier, vol. 41(C), pages 654-665.
    6. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    7. Changjian Wang & Fei Wang & Hongou Zhang & Yuyao Ye & Qitao Wu & Yongxian Su, 2014. "Carbon Emissions Decomposition and Environmental Mitigation Policy Recommendations for Sustainable Development in Shandong Province," Sustainability, MDPI, Open Access Journal, vol. 6(11), pages 1-16, November.
    8. Qingsong Wang & Xueliang Yuan & Jian Zuo & Ruimin Mu & Lixin Zhou & Mingxia Sun, 2014. "Dynamics of Sewage Charge Policies, Environmental Protection Industry and Polluting Enterprises—A Case Study in China," Sustainability, MDPI, Open Access Journal, vol. 6(8), pages 1-19, July.
    9. 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.
    10. Galvin, Ray, 2014. "Estimating broad-brush rebound effects for household energy consumption in the EU 28 countries and Norway: some policy implications of Odyssee data," Energy Policy, Elsevier, vol. 73(C), pages 323-332.
    11. Hansla, Andre & Gamble, Amelie & Juliusson, Asgeir & Garling, Tommy, 2008. "Psychological determinants of attitude towards and willingness to pay for green electricity," Energy Policy, Elsevier, vol. 36(2), pages 768-774, February.
    12. Egmond, C. & Jonkers, R. & Kok, G., 2005. "A strategy to encourage housing associations to invest in energy conservation," Energy Policy, Elsevier, vol. 33(18), pages 2374-2384, December.
    13. J. Daniel Khazzoom, 1980. "Economic Implications of Mandated Efficiency in Standards for Household Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 21-40.
    14. Biesiot, Wouter & Noorman, Klaas Jan, 1999. "Energy requirements of household consumption: a case study of The Netherlands," Ecological Economics, Elsevier, vol. 28(3), pages 367-383, March.
    15. Ala-Mantila, Sanna & Heinonen, Jukka & Junnila, Seppo, 2014. "Relationship between urbanization, direct and indirect greenhouse gas emissions, and expenditures: A multivariate analysis," Ecological Economics, Elsevier, vol. 104(C), pages 129-139.
    16. Chitnis, Mona & Sorrell, Steve & Druckman, Angela & Firth, Steven K. & Jackson, Tim, 2013. "Turning lights into flights: Estimating direct and indirect rebound effects for UK households," Energy Policy, Elsevier, vol. 55(C), pages 234-250.
    17. Brookes, L. G., 1978. "Energy policy, the energy price fallacy and the role of nuclear energy in the UK," Energy Policy, Elsevier, vol. 6(2), pages 94-106, June.
    18. Brookes, L. G., 1993. "Energy efficiency fallacies: the debate concluded," Energy Policy, Elsevier, vol. 21(4), pages 346-347, April.
    19. Yao, Xi-Long & Liu, Yang & Yan, Xiao, 2014. "A quantile approach to assess the effectiveness of the subsidy policy for energy-efficient home appliances: Evidence from Rizhao, China," Energy Policy, Elsevier, vol. 73(C), pages 512-518.
    20. Yuan, Xueliang & Zuo, Jian, 2011. "Transition to low carbon energy policies in China--from the Five-Year Plan perspective," Energy Policy, Elsevier, vol. 39(6), pages 3855-3859, June.
    21. Lenzen, Manfred & Dey, Christopher & Foran, Barney, 2004. "Energy requirements of Sydney households," Ecological Economics, Elsevier, vol. 49(3), pages 375-399, 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. Qingsong Wang & Xueliang Yuan & Jian Zhang & Yun Gao & Jinglan Hong & Jian Zuo & Wei Liu, 2015. "Assessment of the Sustainable Development Capacity with the Entropy Weight Coefficient Method," Sustainability, MDPI, Open Access Journal, vol. 7(10), pages 1-22, October.
    2. Qingsong Wang & Zhenlei Gao & Hongrui Tang & Xueliang Yuan & Jian Zuo, 2018. "Exploring the Direct Rebound Effect of Energy Consumption: A Case Study," Sustainability, MDPI, Open Access Journal, vol. 10(1), pages 1-21, January.
    3. Fei Wang & Changjian Wang & Yongxian Su & Lixia Jin & Yang Wang & Xinlin Zhang, 2017. "Decomposition Analysis of Carbon Emission Factors from Energy Consumption in Guangdong Province from 1990 to 2014," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-15, February.
    4. Qingsong Wang & Hongrui Tang & Xueliang Yuan & Mansen Wang & Hongkun Xiao & Zhi Ma, 2018. "An Early Warning System for Oil Security in China," Sustainability, MDPI, Open Access Journal, vol. 10(1), pages 1-17, January.

    More about this item

    Keywords

    household energy consumption; sustainable development; information entropy; LMDI model;

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

    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:gam:jsusta:v:7:y:2015:i:4:p:3919-3932:d:47675. 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: (XML Conversion Team). General contact details of provider: https://www.mdpi.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.