IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v149y2025ics0140988325005353.html
   My bibliography  Save this article

The impact of R&D on energy consumption: Evidence from nonlinear semi-parametric estimations for selected OECD countries

Author

Listed:
  • Le, Ha Chi
  • Bhattacharya, Mita
  • Smyth, Russell
  • Zhang, Xibin

Abstract

We investigate the influence of energy-related research and development (R&D) on primary energy consumption across 16 OECD countries within a semi-parametric framework spanning the period 1980-2021. In doing so, we propose a novel method for introducing an instrumental variable into the local linear dummy variable estimation method to address endogeneity issues. Our results indicate a significant impact of energy-related R&D on energy consumption, attributed to improved energy productivity, the advancement of clean energy technologies, and heightened energy efficiency. This study contributes to existing literature by illustrating the dynamic and multifaceted nature of the relationship, emphasizing that technological innovation in the energy sector plays a pivotal role in reducing overall energy consumption. The insights from our analysis offer valuable guidance for policymakers committed to fostering sustainable energy innovation and development.

Suggested Citation

  • Le, Ha Chi & Bhattacharya, Mita & Smyth, Russell & Zhang, Xibin, 2025. "The impact of R&D on energy consumption: Evidence from nonlinear semi-parametric estimations for selected OECD countries," Energy Economics, Elsevier, vol. 149(C).
    • Handle: RePEc:eee:eneeco:v:149:y:2025:i:c:s0140988325005353
    DOI: 10.1016/j.eneco.2025.108708
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988325005353
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2025.108708?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    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:eneeco:v:149:y:2025:i:c:s0140988325005353. 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.elsevier.com/locate/eneco .

    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.