IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v234y2024ics0960148124012904.html
   My bibliography  Save this article

Historical characteristics and projection of global renewable energy consumption

Author

Listed:
  • Xu, Chong
  • Gao, Yuchen
  • Qin, Zengqiang
  • Li, Zhiwen
  • Pan, Shaojie
  • Qi, Linlin

Abstract

Although renewable energy consumption (REC) is increasingly crucial for addressing climate change and existing literature focused on REC from various perspectives, the historical characteristics (i.e., convergence, inequality and driver) and prospective trajectory of REC are not well assessed especially at global scale, hindering the policy implications towards sustainable development. Therefore, the study presented an in-depth investigation on the historical characteristics above and projection of REC covering 39 countries over 1990–2020 using log t convergence model, Gini coefficient decomposition model, generalized Divisia index model and machine learning forecasting models, respectively. The results indicated that, first, historical tendency of global REC was recognized with two convergence clubs and divergent countries (the USA and China). Second, Gini coefficient of global REC is increasing where regional rank is the primary driver especially from the intra-inequality of non-OECD countries. Third, GDP seems to be the predominant drivers of the global REC, especially for most non-OECD countries. Forth, countries will make advancements in REC in the coming decades, with enduring trends. Consequently, collaborative efforts and concerted actions among nations in REC development are deemed essential to foster a more sustainable and equitable REC development pattern, contributing to the realization of sustainable development goals.

Suggested Citation

  • Xu, Chong & Gao, Yuchen & Qin, Zengqiang & Li, Zhiwen & Pan, Shaojie & Qi, Linlin, 2024. "Historical characteristics and projection of global renewable energy consumption," Renewable Energy, Elsevier, vol. 234(C).
  • Handle: RePEc:eee:renene:v:234:y:2024:i:c:s0960148124012904
    DOI: 10.1016/j.renene.2024.121222
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124012904
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2024.121222?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.

    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:renene:v:234:y:2024:i:c:s0960148124012904. 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/renewable-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.