IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v95y2024ipbs1057521924003211.html
   My bibliography  Save this article

Does digital literacy reduce intergenerational income dependency?

Author

Listed:
  • Wang, Haijun
  • Ge, Chen
  • Du, Xiance
  • Feng, Yiqiang
  • Wang, Weicheng

Abstract

Smoothing upward mobility channels and reducing intergenerational income dependence are important prerequisites for realizing the sustainable development of all humankind. Starting from the impact of digital economy on micro individuals, this paper explores the mechanisms of digital literacy on families' dependence on intergenerational income. The paper revealed the following findings: First, the improvement of children's digital literacy can significantly enhance the income flow between children and their parents, as well as reduce the former's income dependence on the latter. Specifically, for every 1 unit increase in children's digital literacy, children's income dependence on their parents decreases by 0.035. Among the sub-indicators of digital literacy, social skills and digital attitudes have the highest contribution to reducing intergenerational income dependence. Second, social networks, occupational mobility, and asset allocation capabilities play a moderating role in how digital literacy affects intergenerational income dependence. The more developed the social network, the greater the occupational mobility, and the stronger the asset allocation ability, the more significant the inhibition effect of digital literacy on intergenerational income dependence. Third, the effect of digital literacy on intergenerational income dependence, which is more pronounced in rural areas, inland areas, and male groups.

Suggested Citation

  • Wang, Haijun & Ge, Chen & Du, Xiance & Feng, Yiqiang & Wang, Weicheng, 2024. "Does digital literacy reduce intergenerational income dependency?," International Review of Financial Analysis, Elsevier, vol. 95(PB).
  • Handle: RePEc:eee:finana:v:95:y:2024:i:pb:s1057521924003211
    DOI: 10.1016/j.irfa.2024.103389
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521924003211
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2024.103389?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 search for a different version of it.

    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:finana:v:95:y:2024:i:pb:s1057521924003211. 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/620166 .

    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.