Abstract: Research background: Social and economic development involves a broad spectrum of social, economic and spatial phenomena. The multi-faceted nature of regional development arises directly from the fact that it is shaped by multiple factors. Current discourse emphasizes the role of endogenous factors, which indicate the specific nature and the distinctive features of the given territory. Mobilising the endogenous potential ensures stable regional development dynamics. At the moment, one of the fundamental economic problems are the increasing differences in the development of specific regions.Purpose of the article: The purpose of this study is to assess the differentiation of the social and economic level development of Polish Voivodeships, applying the selected assessment methods for the years 2010 and 2015, draw up a rank list of regional units according to their development levels, and identify the groups of Voivodeships sharing similar development levels. The indicators used in this study, characterising the level of the social and economic development, have been systematised according to the following areas: demographics and labour market, regional entrepreneurship, local economy structure, innovation and research & development activities, technical infrastructure, social infrastructure, and the condition and protection of the natural environment.Methods: The level of the social and economic development of Polish Voivodeships was assessed using Zdzisław Hellwig's development pattern method, which made it possible to rank them according to the level of development of Polish Voivodeship. The methodology is supplemented by Ward's agglomerative clustering method, which made it possible to distinguish other Voivodeships according to the analysed phenomenon. The Voivodeship clustering method used Jenks' natural breaks classification method.Findings & Value added: Pursuing the research aims, the authors focused in particular on clear spatial differences. Through the analysis we were able to identify the changes in the social and economic development processes of the Polish regions. The Voivodeships were divided into groups according to their development level: the highest, high, low and the lowest. (original abstract)
B I B L I O G R A F I ABalcerzak, A. P., & Pietrzak, M. B. (2017a). TOPSIS with generalized distance measure GDM in assessing poverty and social exclusion at regional level in Visegrad countries. In: P. Pražák (Ed.). 35th international conference mathematical methods in economics MME 2017 conference proceedings. Hradec Králové: University of Hradec Králové.
Balcerzak, A. P., & Pietrzak, M. B. (2017b). Digital economy in Visegrad Countries. Multiple-criteria decision analysis at regional level in the years 2012 and 2015. Journal of Competitiveness, 9(2). doi: 10.7441/joc.2017.02.01.
Balcerzak, A. P. (2016a). Multiple-criteria evaluation of quality of human capital in the European Union countries. Economics & Sociology, 9(2). doi: 10.14254/2071-789X.2016/9-2/1.
Balcerzak, A. P. (2016b). Technological potential of European economy. Proposition of measurement with application of multiple criteria decision analysis. Montenegrin Journal of Economics, 12(3). doi: 10.14254/1800-5845.2016/12-3/1.
Bartkowiak-Bakun, N. (2017). The diversity of socioeconomic development of rural areas in Poland in the Western borderland and the problem of post-state farm localities. Oeconomia Copernicana, 8(3). doi: 10.24136/oc.v8i3.26.
Bell, S., & Morse, S. (2008). Sustainability indicators - measuring the immeasurable? London: Earthscan.
Cheba, K., & Szopik-Depczyńska, K. (2017). Multidimensional comparative analysis of the competitive capacity of the European Union countries and geographical regions. Oeconomia Copernicana, 8(4). doi: 10.24136/oc.v8i4.30.
Ginevičius, R., Gedvilaitė, D., & Bruzgė, Š. (2015). Assessment of a country&apos
s regional economic development on the basis of estimation of a single process (ESP) method. Entrepreneurial Businessand Economics Review, 3(2). doi: 10.15678/EBER.2015.030210.
Grabiński, T., & Sokołowski, A. (1984). Researches on the efficiency of the selected taxonomic procedures. Scientific Papers of Cracow University of Economics, 181.
Hellwig, Z. (1972). Procedure of evaluating high-level manpower data and typology of countries by means of the taxonomic method. In: Z. Gostowski (Ed.). Towards a system of human resources indicators for less developed countries. Papers prepared for a UNESCO research project. Wrocław: Ossolineum-The Polish Academy of Sciences.
Jędrzejczak, A. (2015). Regional income inequalities in Poland and Italy. Comparative Economic Research. Central and Eastern Europe, 18(4). doi: 10.1515/cer-2015-0027.
Jenks, G. F. (1967). The data model concept in statistical mapping. International Yearbook of Cartography, 7.
Klasik, A. (1997). Concepts of regional development in Poland in the field of regional differences. In: Regional development in Poland as the element of the European integration. Warsaw: Conferences and seminaries. Office of Studies and Expertises in the Chancellery of the Sejm, vol. XIV.
Kuc, M., & Sobiechowska-Ziegert, A. (2018). Standard of living in Poland at regional level - classification with Kohonen self-organizing maps. In: M. Papież & S. Śmiech (Eds.). The 12th professor Aleksander Zelias international conference on modelling and forecasting of socio-economic phenomena. Conference proceedings. Cracow: Foundation of the Cracow University of Economics.
Małkowska, A., & Głuszak, M. (2016). Pro-investment local policies in the area of real estate economics - similarities and differences in the strategies used by communes. Oeconomia Copernicana, 7(2). doi: 10.12775/OeC.2016.016.
Kudełko, J. (2005). Regional development and regional competitiveness. In: Z. Zioło (Ed.). Conditions for development and regional competitiveness. Cracow-Rzeszow: Institute of Economics at the University of Information Technology and Management in Rzeszow.
Kudłacz, T. (1999). Programming the regional development. Warsaw: PWN.
Lösch, A. (1961). Spatial economy. Theory of localisation. Warsaw: PWE.
Markowska, M., & Sobczak, E. (2002). Identification methods for regional development factors. In: E. Sobczak (Ed). Local economy in theory and practice. Wroclaw: Publishing Office of Wroclaw University of Economics.
Markowska, M., & Strahl, D. (2012). Evaluation of the European Union regions convergence regarding innovation. Argumenta Oeconomica, 1(28).
Miłek, D., & Nowak, P. (2015). Regional specialisation as an endogenous factor in the development of Poland&apos
s provinces. Equilibrium. Quarterly Journal of Economics and Economic Policy, 10(2). doi: 10.12775/EQUIL.2015.
Murawska, A. (2010). Classification of provinces in terms of economic development, with application of taxonomic methods. Bydgoszcz: Polish Association for Knowledge Management.
Nowak, E. (1990). Taxonomic methods for classification of social and economic objects. Warsaw: PWE.
Pietrzak, M. B. (2016). The problem of the inclusion of spatial dependence within the TOPSIS method. Montenegrin Journal of Economics, 12(3). doi: 10.14254/1800-5845.2016/12-3/5.
Pietrzak, M. B., & Balcerzak, A. P. (2017a). A regional scale analysis of economic convergence in Poland in the Years 2004-2012. In: M. H. Bilgin, H. Danis, E. Demir & U. Can (Eds.). Regional studies on economic growth, financial economics and management. Proceedings of the 19th Eurasia Business and Economics Society. Vol. 7. Springer International Publishing. doi: 10.1007/978-3-319-54112.
Pietrzak, M. B., & Balcerzak, A. P. (2017b). Economic development of Polish voivodeships in the years 2010-2014. Application of taxonomic measure of development with entropy weights. In: M. Papież & S. Śmiech (Eds.). The 11th professor Aleksander Zelias international conference on modelling and forecasting of socio-economic phenomena. Conference Proceedings. Cracow: Foundation of the Cracow University of Economics.
Piontek, B. (2006). Contemporary conditions for social and economic development. Bytom: HYLA.
Pylak, K., & Wojnicka-Sycz, E. (2016). Transforming innovation models to change the development paths of less-developed regions. Procedia Engineering, 161. doi: 10.1016/j.proeng.2016.08.812.
Rollnik-Sadowska, E., & Dąbrowska, E. (2018). Cluster analysis of effectiveness of labour market policy in the European Union. Oeconomia Copernicana, 9(1). doi: 10.24136/oc.2018.008.
Sobiechowska-Ziegert, A., & Mikulska, A. (2013). Measure of the level of socioeconomic development in provinces. Quantitative Methods in Economics, 14(2).
Stanny, M. (2012). Level of social and economic development in Poland - measurement for a complex phenomenon. Retrieved form http://admin.www.irwirpan.waw.pl/dir_upload/site/files/Monika/PomiarZjawiskaZlozonego_IRWIR2012.pdf (19.03.2017).
Stec, M. (2011). Development conditions in Polish provinces - statistical and econometric analysis. In: W. M. G. Woźniak & R. Fedan (Eds.). Social irregularities and economic growth. Conditions for efficient operation in region and company. Rzeszów: Publishing Office of the University of Rzeszow.
Strahl, D. (2006). Assessment methods for regional development. Wroclaw: Publishing Office of the Wroclaw University of Economics.
Suchecka, J. (1998). Econometrics in healthcare. Lodz: Graduate.
Szlachta, J. (1996). General problems of regional development politics in Poland at the turn of the twentieth and the twenty-first century. In: Strategic challenges for regional development policy in Poland. Warsaw: Friedrich Ebert-Stiftung Publishing Office.
Trąpczyński, P., Jankowska, B., Dzikowska, M., & Gorynia, M. (2016). Identification of linkages between the competitive potential and competitive position of SMEs related to their internationalization patterns shortly after the economic crisis. Entrepreneurial Business and Economics Review, 4(4). doi: 10.15678/EBER.2016.040403.
Ward, J. H., Jr. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58.
Winiarczyk-Raźniak, A., & Raźniak, P. (2011). Regional differences in the standard of living in Poland (based on selected indices). Procedia Social and Behavioral Sciences, 19.
Zeliaś, A. (Ed.). (2002). Taxonomic analysis for spatial differentiation of Polish standard of living, with a dynamic approach. Cracow: Publishing Office of the Cracow University of Economics. 
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