IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v15y2025i3p21582440251379087.html
   My bibliography  Save this article

Can the Use of Internet New Media Promote Residents’ Entrepreneurship? Analysis Based on Endogenous Switching Probit Model

Author

Listed:
  • Linsheng Chen
  • Jianli Bai
  • Zhenpeng Ma
  • Shiwei Xu
  • Jiahui Chen

Abstract

Drawing on the 2021 CGSS data, this paper investigates whether and to what extent the use of Internet new media (measured by frequency and engagement) affects entrepreneurship among Chinese residents. Endogenous Switching Probit (ESP) probability model is used for estimation. In addition, the robustness test, mechanism test and heterogeneity analysis are further carried out. Conclusions: (1) The entrepreneurial probability of residents who use Internet new media is 4% higher than that of residents who do not use Internet new media, and the probability of residents who use Internet new media in high frequency is 9.05% higher than that of residents who use Internet new media in low frequency, that is, Internet new media promotes residents’ entrepreneurship. The robustness test results further confirm the reliability of this conclusion. (2) The use of Internet new media can promote residents’ learning and the formation of social networks to promote entrepreneurship. (3) The adoption of Internet-based new media significantly enhances entrepreneurial activity among residents aged over 60, whereas usage frequency exerts a stronger positive influence on those under 60.

Suggested Citation

  • Linsheng Chen & Jianli Bai & Zhenpeng Ma & Shiwei Xu & Jiahui Chen, 2025. "Can the Use of Internet New Media Promote Residents’ Entrepreneurship? Analysis Based on Endogenous Switching Probit Model," SAGE Open, , vol. 15(3), pages 21582440251, September.
    • Handle: RePEc:sae:sagope:v:15:y:2025:i:3:p:21582440251379087
    DOI: 10.1177/21582440251379087
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440251379087
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440251379087?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
    ---><---

    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:sae:sagope:v:15:y:2025:i:3:p:21582440251379087. 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: SAGE Publications (email available below). General contact details of provider: .

    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.