IDEAS home Printed from https://ideas.repec.org/p/een/camaaa/2026-01.html

Time-Varying Human Capital and Energy Consumption for a Panel of OECD Countries in the Long-Run

Author

Listed:
  • Kris Ivanovski
  • Russell Smyth
  • Xibin Zhang

Abstract

We examine how human capital influences energy consumption in a panel of OECD nations in the long run. We make important contributions to understanding how education affects energy consumption. First, much of the existing research on how human capital affects energy consumption, employs time series or panel data which typically span a few decades. We utilise a newly assembled long-run panel spanning 150 years, disaggregated by primary, secondary, and tertiary levels, for a core set of OECD countries. This long panel enables us to capture how the human capital–energy relationship evolved through the industrial revolution, multiple energy transitions, and major global shocks. Second, most prior studies rely on parametric models that assume constant relationships over time. Such approaches yield average effects but fail to capture how the education–energy nexus shifts in response to changes in policies, technologies, and macroeconomic conditions. To overcome this limitation, we employ both a parametric and a semi-parametric estimator, which generates time-varying elasticities. Our parametric results highlight the heterogeneous effects of education, with primary and secondary schooling associated with higher energy consumption and tertiary education linked to lower energy consumption. Semi-parametric findings show that primary and secondary education contributed strongly to energy-intensive growth in the early stages of development, but their influence diminished as economies shifted toward services and improved efficiency, while tertiary education became increasingly connected with lower energy use in later decades.

Suggested Citation

  • Kris Ivanovski & Russell Smyth & Xibin Zhang, 2026. "Time-Varying Human Capital and Energy Consumption for a Panel of OECD Countries in the Long-Run," CAMA Working Papers 2026-01, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2026-01
    as

    Download full text from publisher

    File URL: https://crawford.anu.edu.au/sites/default/files/2026-01/01_2026_Ivanovski_Smyth_Zhang.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:een:camaaa:2026-01. 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: Cama Admin (email available below). General contact details of provider: https://edirc.repec.org/data/asanuau.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.