IDEAS home Printed from https://ideas.repec.org/a/aka/aoecon/v65y2015i3p351-365.html
   My bibliography  Save this article

Changes in the spatial pattern of net earnings: Evidence from Serbia

Author

Listed:
  • Uglješa Stankov

    (Department of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Serbia)

  • Vanja Dragićević

    (Department of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Serbia)

Abstract

Spatial autocorrelation analysis is an important method that can reveal the structure and patterns of economic spatial variables. It can be used to identify not only global spatial patterns in the country, but also characteristic locations at micro levels. In this research, we used spatial autocorrelation methodologies, including Global Moran’s I and Local Getis—Ord Gi statistics to identify the intensity of the spatial clustering of municipalities in Serbia by the level of average monthly net earnings from 2001 to 2010. We identified and mapped local clusters (hot and cold spots) by the level of average monthly net earnings for the same period. The results show that overall spatial segregation between municipalities with high and low average monthly net earnings was predominantly increasing during the investigated period. Local statistics illustrated that overall spatial segregation followed a broad north—south divide, with a concentration of municipalities with high net earnings in the north of Serbia, and low net earnings in the south. Closer inspection showed that at the beginning of the study period, there were three statistically significant hot spots in the north. As time passed, only one highly clustered hot spot remained — the Belgrade region. One cold spot retained a relatively stable position in the country’s southeast. This research shows that spatial changes of net earnings can be successfully studied with respect to statistically significant global and local spatial associations in the variables using spatial autocorrelation analysis.

Suggested Citation

  • Uglješa Stankov & Vanja Dragićević, 2015. "Changes in the spatial pattern of net earnings: Evidence from Serbia," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 65(3), pages 351-365, September.
    • Handle: RePEc:aka:aoecon:v:65:y:2015:i:3:p:351-365
    Note: This paper is part of project No. 114-451-2644/2014-01 funded by the Provincial Secretariat for Science and Technological Development of the Vojvodina Province, Serbia
    as

    Download full text from publisher

    File URL: http://www.akademiai.com/doi/pdf/10.1556/032.65.2015.3.1
    Download Restriction: subscription
    ---><---

    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. Pavluković, Vanja & Armenski, Tanja & Alcántara-Pilar, Juan Miguel, 2017. "Social impacts of music festivals: Does culture impact locals' attitude toward events in Serbia and Hungary?," Tourism Management, Elsevier, vol. 63(C), pages 42-53.

    More about this item

    Keywords

    earnings inequality; spatial autocorrelation analysis; Serbia;
    All these keywords.

    JEL classification:

    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • P2 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies

    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:aka:aoecon:v:65:y:2015:i:3:p:351-365. 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: Kriston, Orsolya (email available below). General contact details of provider: https://akademiai.hu/ .

    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.