IDEAS home Printed from https://ideas.repec.org/a/pes/ieroec/v5y2014i3p49-73.html
   My bibliography  Save this article

The Federal States Of Germany – Analysis And Measurement Of Development Using Taxo-Nomic Methods

Author

Listed:
  • Barbara Jurkowska

    (State School of Higher Vocational Education in Sulechow, Poland)

Abstract

This article presents an analysis of the socio-economic development of the 16 federal states of Germany as compared to the whole country. The main goals of the analysis are to measure the development with the use of selected taxonomic methods, to examine the similarities and differences between the states inasmuch as that development is concerned, as well as to illustrate the distance existing between the new eastern states (Brandenburg, Mecklenburg-Vorpommern, Saxo-ny, Saxony-Anhalt, and Thuringia) and the remaining states of Germany. The analysis is preceded by an illustration of the present socio-economic situation of the German states. Germany is characterized by internal diversity as regards the socio-economic development, and the policy of supporting the East German economy has failed to reach its goals. An unfavourable demographic situation is a factor that effectively inhibits the development of the new states. A falling birth rate, an increasing population beyond retirement age, as well as great numbers of people emigrating to West Germany all contribute to the depopulation of the eastern states. The taxonomic analysis of the level of socio-economic development of Germany has provided information about the diversity of that development level, but it has also made it possible to determine and set the direction of devel-opment for particular states.

Suggested Citation

  • Barbara Jurkowska, 2014. "The Federal States Of Germany – Analysis And Measurement Of Development Using Taxo-Nomic Methods," Oeconomia Copernicana, Institute of Economic Research, vol. 5(3), pages 49-73, September.
  • Handle: RePEc:pes:ieroec:v:5:y:2014:i:3:p:49-73
    DOI: 10.12775/OeC.2014.019
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.12775/OeC.2014.019
    Download Restriction: no

    File URL: https://libkey.io/10.12775/OeC.2014.019?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
    ---><---

    Citations

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


    Cited by:

    1. Adam P. Balcerzak, 2016. "Technological Potential of European Economy. Proposition of Measurement with Application of Multiple Criteria Decision Analysis," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 12(3), pages 7-17.
    2. Z. Mierzwa & З. Межва, 2017. "Применение многомерного статистического анализа для конструкции предупреждающих прогнозов // Implementation of Multivariate Statistical Analysis for Warning Forecasting," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 5(4), pages 22-36.
    3. Anna Tatarczak & Oleksandra Boichuk, 2018. "The multivariate techniques in evaluation of unemployment analysis of Polish regions," Oeconomia Copernicana, Institute of Economic Research, vol. 9(3), pages 361-380, September.

    More about this item

    Keywords

    taxonomic methods; federal states of Germany; regional development;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    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:pes:ieroec:v:5:y:2014:i:3:p:49-73. 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: Adam P. Balcerzak (email available below). General contact details of provider: https://edirc.repec.org/data/ibgtopl.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.