IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v178y2025i3d10.1007_s11205-024-03349-0.html
   My bibliography  Save this article

Decoding the “Digital Code” of Happiness: Elaboration Based on Absolute Income and Relative Income

Author

Listed:
  • Jingru Xiang

    (Southwestern University of Finance and Economics)

  • Congying Zhang

    (Southwestern University of Finance and Economics)

Abstract

Information and communication technology (ICT) plays an important role in improving and enhancing the well-being of Chinese farmers. This article constructs a theoretical analysis framework of “ICT→ income→farmers’ subjective well-being (SWB)” from the perspectives of relative income and absolute income. It adopts the ordered probit regression (Oprobit), conditional mixed process (CMP) joint estimation model, and micro survey data of apple farmers to analyze the impact of ICT on farmers’ SWB and the mediating effects of absolute income and relative income. The research findings reveal that both ICT access and ICT application significantly increase farmers’ SWB. After controlling for endogeneity, the positive effect of ICT on well-being remains robust. More specifically, regarding ICT access, each additional year of smartphone and internet usage increases farmers’ self-rated SWB by 10 points, corresponding to a 5.1% and 5.6% increase, respectively, in the probability of feeling “very happy”. Regarding ICT application, utilizing information derived from ICT raises farmers’ self-rated SWB by 10 points, resulting in a 23.0% increase in the probability of feeling “very happy”. The mechanism analysis further suggests that ICT access primarily enhances farmers’ SWB indirectly by increasing their absolute income, while ICT application enhances farmers’ SWB indirectly by increasing both their absolute income and relative income. Based on these findings, the policy implications of this study emphasize the importance of the “information to rural areas and households” project, which should focus on building a multi-subject information supply model involving the government, telecom operators, and farmers. The goal is to enhance farmers’ access to and utilization of information to promote their well-being, with specific attention to harnessing the positive effects of ICT and the indirect effects of both absolute and relative income.

Suggested Citation

  • Jingru Xiang & Congying Zhang, 2025. "Decoding the “Digital Code” of Happiness: Elaboration Based on Absolute Income and Relative Income," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 178(3), pages 1025-1052, July.
  • Handle: RePEc:spr:soinre:v:178:y:2025:i:3:d:10.1007_s11205-024-03349-0
    DOI: 10.1007/s11205-024-03349-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-024-03349-0
    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/s11205-024-03349-0?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:soinre:v:178:y:2025:i:3:d:10.1007_s11205-024-03349-0. 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.