IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp17878.html
   My bibliography  Save this paper

Estimating the Green Wage Premium

Author

Listed:
  • Kuai, Wenjing

    (Hunan University)

  • Elliott, Robert J. R.

    (University of Birmingham)

  • Okubo, Toshihiro

    (Keio University)

  • Ozgen, Ceren

    (University of Birmingham)

Abstract

To address climate change concerns, Japan is accelerating the greening of its economy. In this paper we analyze the characteristics of the workers that are contributing to the green transition and estimate the so-called green wage premium. Using propriety data from a recent worker-level survey for Japan, we provide a continuous measure of the degree to which a job can be considered green and document how green jobs are different from non-green jobs by sector, occupation and different demographics. Our structural model estimates of a green wage premium show that the hourly wage of green workers is 7.3% higher on average than non-green work- ers. A 10% increase in the green intensity of a job is shown to increase average hourly wages by 0.8%. Decomposition results suggest that the explainable part of the wage premium is largely due to task differences, gender disparities (in lower percentiles), and occupation. The unexplained part of the green wage premium are found mainly in high-paying green jobs where certain characteristics appear to be better rewarded, possibly driven by supply and demand imbalances.

Suggested Citation

  • Kuai, Wenjing & Elliott, Robert J. R. & Okubo, Toshihiro & Ozgen, Ceren, 2025. "Estimating the Green Wage Premium," IZA Discussion Papers 17878, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp17878
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp17878.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Japan; wage gap; employment; green jobs; green transition; climate change;
    All these keywords.

    JEL classification:

    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp17878. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.