IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v161y2026ics0264999326001537.html

Penalizing Brown industries or stimulating green innovation? A model incorporating endogenous green innovation

Author

Listed:
  • Xu, Youbo
  • Zhang, Honglei
  • Hu, Ruochi

Abstract

In this paper, we develop a dynamic stochastic general equilibrium model that incorporates endogenous green total factor productivity (GTFP) to assess how penalizing brown industries and supporting green innovation influence carbon-reduction targets. Our analysis shows that, rather than relying solely on carbon taxes for brown firms, institutional mechanisms that promote green innovation and research and development (R&D) investment more effectively achieve the dual objectives of lowering emissions and sustaining economic growth. Counterfactual analyses further indicate that reducing R&D adjustment costs and strengthening R&D spillover effects substantially amplify these benefits. We also evaluate welfare outcomes under endogenous GTFP and identify optimal monetary policy parameters. The core policy implication is that institutional innovation can lower the marginal costs of green transition, enabling environmental and economic gains to reinforce one another.

Suggested Citation

  • Xu, Youbo & Zhang, Honglei & Hu, Ruochi, 2026. "Penalizing Brown industries or stimulating green innovation? A model incorporating endogenous green innovation," Economic Modelling, Elsevier, vol. 161(C).
  • Handle: RePEc:eee:ecmode:v:161:y:2026:i:c:s0264999326001537
    DOI: 10.1016/j.econmod.2026.107624
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999326001537
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2026.107624?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:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:ecmode:v:161:y:2026:i:c:s0264999326001537. 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/inca/30411 .

    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.