IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-032-19012-3_1.html

Impact of Government Policy on Sustainable Water Management in the Light of Generative AI in Vietnam

Author

Listed:
  • Van Chien Nguyen

    (Thu Dau Mot University, School of Economics and Finance)

Abstract

The fourth industrial revolution is associated with the application of technology to the economy including artificial intelligence. Artificial intelligence has promoted more efficient production, promoting sustainable development including sustainable water management. Researching the impact of government policies on sustainable water management in the context of artificial intelligence application in Vietnam, and through a survey of consumers on awareness related to sustainable water resources, the research results showed that government policies have a positive impact on sustainable water resource management. The study also showed that improving the mechanism for monitoring water resource use and increasing community participation play a role in promoting sustainable water management. Moreover, using reasonable technology costs associated with artificial intelligence applications has the potential to increase water resource management more effectively.

Suggested Citation

  • Van Chien Nguyen, 2026. "Impact of Government Policy on Sustainable Water Management in the Light of Generative AI in Vietnam," Springer Optimization and Its Applications,, Springer.
    • Handle: RePEc:spr:spochp:978-3-032-19012-3_1
    DOI: 10.1007/978-3-032-19012-3_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:spochp:978-3-032-19012-3_1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.