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Marta Szylar, Katarzyna Cegielska, Dawid Kudas. Application of Hellwig’s development measure method for the analysis of sustainable development of Silesia Province

The aim of the study was to analyse the change in the level of sustainable development of Silesian Province districts. The choice of the unit was determined by the high degree of urbanization of this area. The study was based on 72 statistical indicators describing sustainability of districts in 2011–2014. The data was collected using the Central Statistical Office application Sustainable Development Indicators. To determine diagnostic features the parametric method was used. The Hellwig’s development measure, which is a linear ordering method, was used for the analysis. The results showed that the units were highly differentiated in terms of their characteristics. Therefore, regional authorities should take multidirectional actions and monitor the level of sustainable development of districts on the on-going basis.

Mieczysław Adamowicz, Paweł Janulewicz. Evaluation of socio-economic development of large cities in Poland – results of a study with the use of the Hellwig development pattern method

The aim of the paper is to define and evaluate the level of local socio-economic development of largest cities in Poland, as well as the differences and disproportions which appeared between them in the years 2010-2012. The subject of the research were 30 cities in Poland whose population exceeded 120 thousand. These cities fulfil key roles in the country. A literature review and an empirical analysis were used as the base for this work. The data from the Local Data Bank (by CSO) were analyzed with the use of one of the taxonomic methods – the Hellwig development pattern method. Originally, 67 diagnostic variables were examined which, after verification, were cut down to 42 variables. Five groups of variables were distinguished: demographic figures, quality and availability of cultural and educational services, labour and social security conditions, housing conditions, and economic potential. Statistical description of the cities was prepared for all the groups of variables. The differences and disproportions between the cities were revealed. After reduction, 21 variables were used. Four groups of cities representing different levels of local development were distinguished. The results of the research allow for a comparative assessment of each city with reference to its characteristics. The research results showed substantial differences and disproportions in the level of local socio-economic development of the surveyed cities. The used method proved to be an adequate tool for local development analysis. The synthetic measures and indexes proved to be a useful tool of city management.

Elżbieta Roszko-Wójtowicz, Maria M. Grzelak. The use of selected methods of multidimensional statistical analysis to compare education systems in EU Member States

Education is a field which is not subject to unification in the European Union. Education systems in the EU countries differ, among others, in terms of: sources of funding, provision of basic education, participation in the education and training system, and functioning of higher education. The main aim of the present study is to compare education systems in EU Member States using statistical methods of linear ordering of objects. The study posits lower effectiveness of individual indicators that characterize education. It is focused on a synthetic evaluation of education in EU countries using Hellwig’s modelling method. This approach makes it possible to prepare a ranking and to determine the distance separating Poland from the best (model) education system.