IDEAS home Printed from https://ideas.repec.org/a/spr/jsecdv/v27y2025i2d10.1007_s40847-024-00367-z.html
   My bibliography  Save this article

Digital financial literacy, saving and investment behaviour in India

Author

Listed:
  • Mansi Yadav

    (The NorthCap University)

  • Priyanka Banerji

    (The NorthCap University)

Abstract

This research examines the association between Digital Financial Literacy (DFL), Saving Behaviour, and Investment Behaviour, and investigates the impact of DFL on Saving and Investment Behaviours among individuals in Delhi NCR, India. Data were collected from 500 respondents aged 24–45 through a questionnaire, and the relationships between variables were evaluated using the Structural Equation Model (SEM) with AMOS. Findings revealed that higher levels of DFL significantly favor both Saving and Investment Behaviours. Additionally, the study indicated that socioeconomic factors, such as income, positively influence DFL, while age and educational level do not. This research maps the prevalence of DFL among Indians and contributes to the limited body of knowledge on DFL, especially in the Indian context. However, the focus on Delhi NCR participants suggests caution in generalizing the results to broader populations. The findings from this research are anticipated to help policymakers develop targeted regulations that enhance Digital Financial Literacy (DFL) for younger generations, focusing on their unique needs and challenges in the digital financial environment.

Suggested Citation

  • Mansi Yadav & Priyanka Banerji, 2025. "Digital financial literacy, saving and investment behaviour in India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 27(2), pages 489-507, August.
    • Handle: RePEc:spr:jsecdv:v:27:y:2025:i:2:d:10.1007_s40847-024-00367-z
    DOI: 10.1007/s40847-024-00367-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40847-024-00367-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40847-024-00367-z?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

    ;
    ;
    ;
    ;
    ;
    ;

    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:jsecdv:v:27:y:2025:i:2:d:10.1007_s40847-024-00367-z. 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.