IDEAS home Printed from https://ideas.repec.org/a/qua/journl/v21y2024i2p77-99.html
   My bibliography  Save this article

Enfoque bayesiano para detectar los determinantes del emprendimiento innovador por pais

Author

Listed:
  • Jose Manuel Garcia Flores

    (Instituto Politecnico Nacional. Mexico)

Abstract

Objective: to outline the determinants of the profile of an entrepreneur with innovative skills in the international arena, involving economic, demographic and motivational characteristics of some OECD countries (developed/underdeveloped). Methodology: the Bayesian average model is used. Results: the Bayesian model by averages shows that women who use new technology, with average income in the country, age between 18-24 years, with foreign-oriented products, with basic education; and focused on the transformation and business sectors, help nations to be more competitive. Limitations: research faced problems with the homogeneity of the data. Originality: it uses a base of 19 countries that had not been used before without differentiating between developing and developed countries in order to associate competitiveness. Conclusions: it was possible to find the determinants of entrepreneurship in a general way based on the characteristics of the results.

Suggested Citation

  • Jose Manuel Garcia Flores, 2024. "Enfoque bayesiano para detectar los determinantes del emprendimiento innovador por pais," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 21(2), pages 77-99, July-Dece.
  • Handle: RePEc:qua:journl:v:21:y:2024:i:2:p:77-99
    as

    Download full text from publisher

    File URL: https://econoquantum.cucea.udg.mx/index.php/EQ/article/view/7320/6828
    Download Restriction: no

    File URL: https://econoquantum.cucea.udg.mx/index.php/EQ/issue/view/706
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    entrepreneurship; innovation; nonlinear parametric models; productivity.;
    All these keywords.

    JEL classification:

    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

    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:qua:journl:v:21:y:2024:i:2:p:77-99. 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: Sandra Ivett Portugal Padilla (email available below). General contact details of provider: https://edirc.repec.org/data/dmudgmx.html .

    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.