IDEAS home Printed from https://ideas.repec.org/a/aen/journl/ej42-6-valadkhani.html
   My bibliography  Save this article

The Choice between Renewables and Non-renewables: Evidence from Electricity Generation in 29 Countries

Author

Listed:
  • Jeremy Nguyen, Abbas Valadkhani, and Gholamreza Hajargasht

Abstract

We examine how per capita income and relative fossil fuel prices influence the use of non-renewables (oil, coal and natural gas), nuclear, hydroelectric, and other renewables in electricity generation. Panel regressions are estimated using the fully modified ordinary least squares method and data across 29 countries (19852017). We include both developed and developing economies whose classification status is allowed to vary during the sample period depending on per capita income. Results suggest that oil prices play a dominant role in boosting the use of renewables, while gas serves as a transition fuel. For developing nations, income is a significant constraint in the use of renewables, while coal and gas prices do not significantly influence the use of hydro and nuclear. This finding supports a shift away from the exclusive use of pricing mechanisms towards set targets linked to per capita income to encourage the use of renewables in developing economies.

Suggested Citation

  • Jeremy Nguyen, Abbas Valadkhani, and Gholamreza Hajargasht, 2021. "The Choice between Renewables and Non-renewables: Evidence from Electricity Generation in 29 Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    • Handle: RePEc:aen:journl:ej42-6-valadkhani
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=3752
    Download Restriction: Access to full text is restricted to IAEE members and subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Stef, Nicolae & Başağaoğlu, Hakan & Chakraborty, Debaditya & Ben Jabeur, Sami, 2023. "Does institutional quality affect CO2 emissions? Evidence from explainable artificial intelligence models," Energy Economics, Elsevier, vol. 124(C).
    2. Ryszard Bartnik & Dariusz Pączko, 2021. "Methodology for Analysing Electricity Generation Unit Costs in Renewable Energy Sources (RES)," Energies, MDPI, vol. 14(21), pages 1-15, November.

    More about this item

    JEL classification:

    • F0 - International Economics - - General

    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:aen:journl:ej42-6-valadkhani. 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: David Williams (email available below). General contact details of provider: https://edirc.repec.org/data/iaeeeea.html .

    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.