ynamic Classification of EU Regions with Respect to the Labour Market Structure – position of Polish regions

Authors

  • Małgorzata Markowska Uniwersytet Ekonomiczny we Wrocławiu Wydział Ekonomii, Zarządzania i Turystyki w Jeleniej Górze
  • Andrzej Sokołowski Uniwersytet Ekonomiczny w Krakowie Wydział Zarządzania
  • Danuta Strahl Uniwersytet Ekonomiczny we Wrocławiu Wydział Ekonomii, Zarządzania i Turystyki w Jeleniej Górze
  • Marek Sobolewski Politechnika Rzeszowska Wydział Zarządzania Katedra Metod Ilościowych

DOI:

https://doi.org/10.24917/20801653.292.2

Keywords:

regional analyses, labour market, dynamic clustering

Abstract

The results of dynamic classification of Polish regions within the framework of European NUTS 2 units, characterized by employment structure in three sectors: agriculture, industry and services, are presented in the paper. The analysis covers 2000-2012 period. In 2008 the European Classification of Economic Activities was changed and revised and for that year two sets of data are available. They were the information base for the regression models used later to recalculate 2000-2007 data and make it homogeneous to the current system. Dynamic cluster analysis is the basic method used throughout this research. Spatio-temporal units are treated as subjects for classification (operational taxonomic units - OTU). This approach makes it possible to track changes both in time and geographical space as well as to identify typical labour market structures. Change in labour market structure is considered significant if a region is changing its group membership. The number of clusters is identified by the analysis of Ward’s method dendrogram and final partition is obtained by k-means method. Finally, the stability and attractiveness of clusters is evaluated.

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Author Biographies

Małgorzata Markowska, Uniwersytet Ekonomiczny we Wrocławiu Wydział Ekonomii, Zarządzania i Turystyki w Jeleniej Górze

Małgorzata Markowska, Ph.D., is an associate professor at the Regional Economics Chair of Wrocław University of Economics. She is a member of Polish Classification Society and Polish section of Regional Studies Association. Her research deals with econometric measurement, evaluation, variability and dynamics of development, competitiveness, knowledge-based economy, smart specializations, convergence and innovativeness in European regional space. As an author or co-author she published more than 100 scientific papers and 25 chapters in books, and recently her own dissertation “Dynamic Taxonomy of Regions’ Innovativeness”. She took part in 10 scientific projects financed by Polish National Centre of Science and European Union, and in projects for governmental, local administration and business units.

Andrzej Sokołowski, Uniwersytet Ekonomiczny w Krakowie Wydział Zarządzania

Andrzej Sokolowski, Ph.D., is an associate professor and Head of Department of Statistics at Cracow University of Economics. His scientific activity is concentrated on application of statistical methods in such fields as economics and management, medicine, sports, politics and music. In theoretical statistics he is interested in mathematical statistics, multivariate analysis and medical statistics. He is an author of more than 60 chapters in books and monographs, 143 scientific papers and 128 contributions at conferences. For three terms he was the President of Polish Classification Society and for more than ten years he is a member of International Federation of Classification Societies Council.

Danuta Strahl, Uniwersytet Ekonomiczny we Wrocławiu Wydział Ekonomii, Zarządzania i Turystyki w Jeleniej Górze

Danuta Strahl, Ph.D., is the professor of economic sciences at the Department of Regional Economy of Wrocław University of Economics. Since 1992 she has been a member of the Committee of Statistics and Econometrics of the Polish Academy of Sciences and since 2008 a member of the Committee of Economic Sciences of the Polish Academy of Sciences. Her scientific interests focus on the application of multivariate statistical analysis methods in regional research, and in particular on regional development, knowledge-based economy and smart development of the European regional space. She is the author or co-author of over 150 articles as well as the editor and author or co-author of 10 monographs. She has delivered over 100 papers at scientific conferences.

Marek Sobolewski, Politechnika Rzeszowska Wydział Zarządzania Katedra Metod Ilościowych

Marek Sobolewski, dr, Politechnika Rzeszowska, Wydział Zarządzania, Katedra Metod Ilościowych. Jest doktorem nauk ekonomicznych, adiunktem w Katedrze Metod Ilościowych Politechniki Rzeszowskiej. Jest członkiem Sekcji Klasyfikacji i Analizy Danych PTS. Jego zainteresowania naukowe obejmują statystykę medyczną, metody statystyki wielowymiarowej oraz komputerowe aplikacje metod statystycznych. Jest autorem lub współautorem ponad 100 artykułów naukowych.

References

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Markowska, M. (2012). Dynamiczna taksonomia innowacyjności regionów. Monografie i Opracowania 221, Wrocław: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu.

Regions in the European Union. Nomenclature of territorial unit for statistics NUTS2010/EU-27

(2011). Methodologies and Working Papers. Luksemburg: European Commission. Rozporządzenie (WE) Nr 1893/2006 Parlamentu Europejskiego i Rady z dnia 20 grudnia 2006 r. w sprawie statystycznej klasyfikacji działalności gospodarczej NACE Rev. 2 i zmieniające rozporządzenie Rady (EWG) nr 3037/90 oraz niektóre rozporządzenia WE w sprawie określonych dziedzin statystycznych. Dz. Urz. UE, L/393/1.

Statistical classification of economic activities in the European Community (2008). Methodologies and Working Papers. Luksemburg: Office for Official Publications of the European Communities.

Published

2015-06-01

How to Cite

Markowska, M., Sokołowski, A., Strahl, D., & Sobolewski, M. (2015). ynamic Classification of EU Regions with Respect to the Labour Market Structure – position of Polish regions. Studies of the Industrial Geography Commission of the Polish Geographical Society, 29(2), 23–36. https://doi.org/10.24917/20801653.292.2

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