IDEAS home Printed from
   My bibliography  Save this paper

The identification of spatial dependence in the analysis of regional economic development – join-count test application, IER Working Papers, 2013, No. 30


  • Michal Bernard Pietrzak

    () (Nicolaus Copernicus University, Poland)

  • Justyna Wilk

    () (Wroclaw University of Economics, Poland)

  • Tomasz Kossowski

    (Warsaw University of Life Sciences, Poland)

  • Roger Bivand

    (Norwegian School of Economics (NHH) in Bergen)


The content of the article is focused on the problem of spatial dependence identification, referring to the analysis of regional economic development. Economic development, as an economic category, represents a very extensive concept. Within its framework the following problems should be considered: the influence of institutions performing social services, environmental conditions of residence and the overall complex of general economic phenomena. The correct measurement of economic development requires the selection of adequate diagnostic variables as well as the construction of the taxonomic measure of development. The implementation of taxonomic measure of development allows for the division of regions into homogenous classes, however, reduces the possibility of statistical tests usage for quantitative data, which decide about the occurrence of spatial dependence. The objective of the article is to identify spatial dependence of regions covered by classes characterized by the defined economic development level having applied the join-count test. This test allows detecting the spatial autocorrelation for quantitative data. The test application allows detecting whether the regions, within the framework of each specified class, are grouped based on the existing spatial dependence and create clusters featuring similar economic development level.

Suggested Citation

  • Michal Bernard Pietrzak & Justyna Wilk & Tomasz Kossowski & Roger Bivand, 2013. "The identification of spatial dependence in the analysis of regional economic development – join-count test application, IER Working Papers, 2013, No. 30," Working Papers 30/2013, Institute of Economic Research, revised Jul 2013.
  • Handle: RePEc:pes:wpaper:2013:no30

    Download full text from publisher

    File URL:
    File Function: First version, 2013
    Download Restriction: no


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

    Cited by:

    1. repec:mje:mjejnl:v:12:y:2016:i:3:p:69-86 is not listed on IDEAS
    2. Michal Bernard Pietrzak, 2016. "The Problem of the Inclusion of Spatial Dependence Within the TOPSIS Method," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 12(3), pages 69-86.
    3. Michal Bernard Pietrzak & Adam P. Balcerzak, 2016. "Quality of Human Capital and Total Factor Productivity in New European Union Members States," Working Papers 23/2016, Institute of Economic Research, revised May 2016.
    4. Adam P. Balcerzak & Michal Bernard Pietrzak, 2016. "Dynamic Panel Analysis of Influence of Quality of Human Capital on Total Factor Productivity in Old European Union Countries," Working Papers 19/2016, Institute of Economic Research, revised May 2016.
    5. Pietrzak Michał B. & Wilk Justyna & Bivand Roger S. & Kossowski Tomasz, 2014. "The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development," Comparative Economic Research, De Gruyter Open, vol. 17(4), pages 203-220, December.

    More about this item


    economic situation; internal migration; synthetic measure; ratio analysis; classification;

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population


    Access and download statistics


    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:wpaper:2013:no30. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Adam P. Balcerzak). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.