IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-032-19012-3_3.html

Factors Affecting Sustainable Water Investment in the Interactive Effects of Generative AI

Author

Listed:
  • Hong Thi Nguyen

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

Abstract

Artificial intelligence brings many great benefits to economic development in the current period, including the optimization of economic performance and the protection of water resources and environment. Therefore, increasing the contribution of artificial intelligence to economic activities is urgent to contribute to improving the quality of economic growth and development. The objective of this study is to clarify factors affecting sustainable water investment in the context of the interaction of generative artificial intelligence. The research results showed that higher per capita income has a positive impact on sustainable water investment. However, the positive impact of generative generated artificial intelligence on sustainable water investment in the short term has not been found, and the study suggests that there are solutions to increase the benefits of artificial intelligence for socio-economic performance, including sustainable water management in the long term. Finally, there are some policy implications for Vietnam to increase sustainable water investment in the coming time.

Suggested Citation

  • Hong Thi Nguyen, 2026. "Factors Affecting Sustainable Water Investment in the Interactive Effects of Generative AI," Springer Optimization and Its Applications,, Springer.
    • Handle: RePEc:spr:spochp:978-3-032-19012-3_3
    DOI: 10.1007/978-3-032-19012-3_3
    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_3. 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.