IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v287y2024ics0360544223029456.html
   My bibliography  Save this article

Off-farm employment and household clean energy transition in rural China: A study based on a gender perspective

Author

Listed:
  • Chang, Huayi
  • Heerink, Nico
  • Zhang, Junbiao
  • He, Ke

Abstract

Although numerous studies in developing countries have increasingly focused on the important implications of off-farm employment for the success of rural energy transition, it is easy to ignore the fact that determining who to employ in off-farm sectors can impact household energy transition decisions differently. Based on the nationally representative data from the Chinese General Social Survey (CGSS) 2015 survey, this study tries to fill the gap and examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China by providing a new view towards gender. The results show that two-paycheck households consume more clean energy than other household types. Off-farm employment of women is a key factor driving the household clean energy consumption to a higher level, and wage-employed wives contribute more to these decisions than self-employed ones.

Suggested Citation

  • Chang, Huayi & Heerink, Nico & Zhang, Junbiao & He, Ke, 2024. "Off-farm employment and household clean energy transition in rural China: A study based on a gender perspective," Energy, Elsevier, vol. 287(C).
    • Handle: RePEc:eee:energy:v:287:y:2024:i:c:s0360544223029456
    DOI: 10.1016/j.energy.2023.129551
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223029456
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129551?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.

    More about this item

    Keywords

    Clean energy; Energy transition; Gender; Off-farm employment; Rural China;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:eee:energy:v:287:y:2024:i:c:s0360544223029456. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.