IDEAS home Printed from https://ideas.repec.org/a/taf/tjomxx/v15y2019i1p94-102.html
   My bibliography  Save this article

Selective migration of population in functional urban regions of Slovakia

Author

Listed:
  • Loránt Pregi
  • Ladislav Novotný

Abstract

Majority of research on urban development perceive migration as internally homogeneous phenomenon that influences growth and spatial redistribution of population. This enables to identify certain general migration patterns, but understanding regularities and consequences requires looking at internal structure of migration. This paper aims to visualise the impact of selective migration to the population structures across multiple spatial scales and in a complex way taking Slovakia as the case study. By this means spatial patterns of migration are demonstrated in a more efficient way. The resulting maps show the impact of migration is selective at various spatial levels regarding age and educational attainment. In comparison with general migration, selective migration shows stronger spatial polarisation in Slovakia.

Suggested Citation

  • Loránt Pregi & Ladislav Novotný, 2019. "Selective migration of population in functional urban regions of Slovakia," Journal of Maps, Taylor & Francis Journals, vol. 15(1), pages 94-102, January.
    • Handle: RePEc:taf:tjomxx:v:15:y:2019:i:1:p:94-102
    DOI: 10.1080/17445647.2019.1661880
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17445647.2019.1661880
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17445647.2019.1661880?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Holmager, Therese Lucia Friis & Lophaven, Søren Nymand & Mortensen, Laust Hvas & Lynge, Elsebeth, 2021. "Does Lolland-Falster make people sick, or do sick people move to Lolland-Falster? An example of selective migration and mortality in Denmark, 1968-2017," Social Science & Medicine, Elsevier, vol. 277(C).
    2. Janetta Nestorová Dická & Filip Lipták, 2024. "Regional fertility predictors based on socioeconomic determinants in Slovakia," Journal of Population Research, Springer, vol. 41(3), pages 1-43, September.

    More about this item

    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:taf:tjomxx:v:15:y:2019:i:1:p:94-102. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjom20 .

    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.