IDEAS home Printed from https://ideas.repec.org/a/vrs/eaiada/v27y2023i4p1-14n1.html
   My bibliography  Save this article

Demographic Challenges in Poland: Understanding Low Fertility

Author

Listed:
  • Tatarczak Anna

    (1 University of Maria Curie-Skłodowska, Lublin, Poland)

  • Janik Gabriela

    (2 University of Maria Curie-Skłodowska, Lublin, Poland)

Abstract

The phenomenon of low fertility in Poland is a vital subject of demographic analysis. In recent years, not only have there been changes in procreative and family models, but also in the age structure of society. This is particularly significant in the context of population ageing, which is becoming increasingly evident and brings numerous challenges such as increased burden on healthcare systems, a decrease in the active workforce, and the need to secure adequate retirement funds. Despite the desire to have children, many individuals refrain from making such a decision, and the reasons for this choice are diverse. Therefore, it was essential to conduct an analysis of the factors determining fertility in Poland, considering both the economic and social aspects. Understanding how the economic situation, labour market conditions, and changes in social structure impact on the decision-making process regarding childbearing is essential.

Suggested Citation

  • Tatarczak Anna & Janik Gabriela, 2023. "Demographic Challenges in Poland: Understanding Low Fertility," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 27(4), pages 1-14, December.
  • Handle: RePEc:vrs:eaiada:v:27:y:2023:i:4:p:1-14:n:1
    DOI: 10.15611/eada.2023.4.01
    as

    Download full text from publisher

    File URL: https://doi.org/10.15611/eada.2023.4.01
    Download Restriction: no

    File URL: https://libkey.io/10.15611/eada.2023.4.01?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

    ertility; population ageing; demographic analysis; total fertility rate (TFR);
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:vrs:eaiada:v:27:y:2023:i:4:p:1-14:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.