IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v133y2024ics0140988324002287.html
   My bibliography  Save this article

Robust green Schumpeterian endogenous growth model and spatial Kuznets curve

Author

Listed:
  • Zhou, Yuwen
  • Tian, Lixin
  • Yang, Xiaoguang
  • Wan, Bingyue

Abstract

This paper examines the green Schumpeterian endogenous growth model is robust. The principal findings of this paper can be summarized as follows. Firstly, diverging from the knife-edge condition typical in endogenous growth theory, the study reveals that the green Schumpeterian model exhibits dual knife-edge conditions. However, the dual knife-edge conditions are not necessary conditions for the emergence of green endogenous growth within the framework of the green Schumpeterian endogenous growth theory, showcasing the model is robust. Secondly, when the elasticity coefficients of quality innovation level and green innovation level exceed 1, the inverted U-shaped relationship between pollution emissions and green innovation level, as well as output level, persists. Thirdly, pollution emissions exhibit an inverted U-shaped trend with the reduction in the green premium. The higher the elasticity coefficients of quality innovation level and green innovation level, the greater the requirement for the green premium to reach the turning point of this curve. Lastly, reducing the green premium contributes to driving economic growth during the green innovation stage. As the elasticity coefficients of quality innovation level and green innovation level increase, the impact of reducing the green premium on promoting economic growth becomes more pronounced.

Suggested Citation

  • Zhou, Yuwen & Tian, Lixin & Yang, Xiaoguang & Wan, Bingyue, 2024. "Robust green Schumpeterian endogenous growth model and spatial Kuznets curve," Energy Economics, Elsevier, vol. 133(C).
  • Handle: RePEc:eee:eneeco:v:133:y:2024:i:c:s0140988324002287
    DOI: 10.1016/j.eneco.2024.107520
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988324002287
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2024.107520?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:eneeco:v:133:y:2024:i:c:s0140988324002287. 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.