IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v58y2026i36p7516-7531.html

The dynamic optimization problem of enterprise’s production from the perspective of green development

Author

Listed:
  • Pan Chen

Abstract

This article is concerned with a green production optimization problem of enterprises and obtains the optimal production strategy. A stochastic green production model is established by introducing stochastic differential equations. The carbon quota is incorporated as a control variable. We transform the problem to one kind of optimal control problems. In virtue of the convex variational technique and Ekeland variational principle, the maximum principle is established. Finally, we use this result to solve the original enterprise’s production optimization problem in the specified context. Our model and our results can have many policy implications. They can also be used by governments to price externalities and side effects, as the principle is to tax companies that issue more carbon and pollution.

Suggested Citation

  • Pan Chen, 2026. "The dynamic optimization problem of enterprise’s production from the perspective of green development," Applied Economics, Taylor & Francis Journals, vol. 58(36), pages 7516-7531, August.
    • Handle: RePEc:taf:applec:v:58:y:2026:i:36:p:7516-7531
    DOI: 10.1080/00036846.2025.2534732
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2025.2534732
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2025.2534732?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

    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:taf:applec:v:58:y:2026:i:36:p:7516-7531. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.