IDEAS home Printed from
   My bibliography  Save this article

Challenges of green consumption in China: a household energy use perspective


  • Haiyan Zhang
  • Michael L. Lahr
  • Jun Bi


To encourage economic progress, China's government has been pushing domestic consumption as a substitute for its waning growth in investment and exports. It has also been promoting greener policies for growth, of which green consumerism is a prime component. By examining the economy through the lens of household energy consumption, this paper lays out the challenges the nation must overcome through green consumption. We explore the trends in household energy use and decompose energy used indirectly by households into six factors: changes in total population, urbanization rate, energy efficiency, interindustry input mix, household consumption preferences, and per capita household consumption level. Doing so yields insights into how progress in industrial technology, household income, urbanization, and lifestyles has affected energy use in the production of goods and services used by households. It also offers policy suggestions on how China might guide lifestyle changes to effect green consumption.

Suggested Citation

  • Haiyan Zhang & Michael L. Lahr & Jun Bi, 2016. "Challenges of green consumption in China: a household energy use perspective," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 183-201, June.
  • Handle: RePEc:taf:ecsysr:v:28:y:2016:i:2:p:183-201
    DOI: 10.1080/09535314.2016.1144563

    Download full text from publisher

    File URL:
    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.


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

    Cited by:

    1. Edyta Sidorczuk-Pietraszko, 2020. "Spatial Differences in Carbon Intensity in Polish Households," Energies, MDPI, Open Access Journal, vol. 13(12), pages 1-21, June.
    2. Haiyan Zhang & Michael L. Lahr, 2018. "Households’ Energy Consumption Change in China: A Multi-Regional Perspective," Sustainability, MDPI, Open Access Journal, vol. 10(7), pages 1-17, July.
    3. Li, Jiajia & Zhang, Jian & Zhang, Dayong & Ji, Qiang, 2019. "Does gender inequality affect household green consumption behaviour in China?," Energy Policy, Elsevier, vol. 135(C).
    4. Abdullah Al Mamun & Muhammad Mohiuddin & Ghazali Bin Ahmad & Ramayah Thurasamy & Syed Ali Fazal, 2018. "Recycling Intention and Behavior among Low-Income Households," Sustainability, MDPI, Open Access Journal, vol. 10(7), pages 1-22, July.
    5. Wu, X.F. & Chen, G.Q., 2017. "Global primary energy use associated with production, consumption and international trade," Energy Policy, Elsevier, vol. 111(C), pages 85-94.
    6. Fu, Xue & Lahr, Michael & Yaxiong, Zhang & Meng, Bo, 2017. "Actions on climate change, Intended Reducing carbon emissions in China via optimal industry shifts: Toward hi-tech industries, cleaner resources and higher carbon shares in less-develop regions," Energy Policy, Elsevier, vol. 102(C), pages 616-638.
    7. Shi, Xinjie, 2019. "Inequality of opportunity in energy consumption in China," Energy Policy, Elsevier, vol. 124(C), pages 371-382.
    8. Abdullah Al Mamun & Kanniga Malar Mohan & Noorshella Che Nawi & Muhammad Mehedi Masud & Rajennd Muniady & Noor Raihani Zainol, 2020. "Environmentally Friendly Business Practices among Low-Income Households in Rural Peninsular Malaysia," Sustainability, MDPI, Open Access Journal, vol. 12(18), pages 1-18, September.
    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.
    10. Wu, X.D. & Guo, J.L. & Ji, Xi & Chen, G.Q., 2019. "Energy use in world economy from household-consumption-based perspective," Energy Policy, Elsevier, vol. 127(C), pages 287-298.

    More about this item


    Access and download statistics


    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:taf:ecsysr:v:28:y:2016:i:2:p:183-201. 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: (Chris Longhurst). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.