Regional development is a complex economic category and a commonly used term today, yet it is vaguely defined and, therefore, interpreted implicitly and understood intuitively. From a statistical point of view, this concept, on account of its imprecision and ambiguity, is a kind of multidimensional characteristic which may be measured, though not conclusively. Due to the lack of a universal set of diagnostic variables adopted in taxonomic analyses, the quantitative approach to the examined research area, which is in most cases presented descriptively, poses the main problem. The objectives of the article are to rank the provinces of Poland in terms of regional development in the years 2006–2018 and to assess the similarity of results over time. The research study is based on linear ordering methods within the scope of multidimensional statistical analysis. The results of the conducted analyses allowed us to rank the provinces of Poland in terms of regional development in the years 2006–2018 and to assess the similarity of the results over time. The results of the analysis indicate a clear stabilization of high ranked positions during the examined period, last places are generally taken by the same regions. This situation may indicate an increase or at least strengthening of the disproportions between the most and least developed regions in Poland. Theoretical considerations presented in the article as well as the empirical results of our own research may provoke more detailed discussion on the subject.
The paper presents an investigation how the amount of EU funds invested in individual Polish regions contributed to a change in the socio-economic development level. Design/Methodology/Approach: The study applied the zero unitarisation and five different methods of assigning weights to input variables. The TOPSIS method was applied to study the level of the socio-economic development in the regions, whereas the correlation between the amount of financial assistance received from the EU and the socio-economic development level was analysed by means of the Kendall rank correlation coefficient and p-value. Findings: The results of the conducted research indicate that there was no relationship between the amount of subsidies received by individual regions and changing the position in the socio-economic development ranking in the years 2004-2018. Practical Implications: The implementation of the proposed methodology of studying the impact of EU funds on regional socio-economic development could also be implemented in other EU member states, and that could serve as the basis for generating further conclusions, which will make it possible to focus EU resources on specific areas where they can bring desired outcomes. Originality/Value: So far, we have not encountered any studies focused on analysing the relationship between the amounts of EU financial assistance and their impact on socio-economic development in such a broad perspective as we propose.
Innovation is perceived as the key factor contributing to the economic prosperity of countries and regions. Endogenous growth models provide vast theoretical support for regarding technical progress as internal factor determining economic growth. The experience of developed countries proves positive impact of innovation on the growth of their GDP in the long term, on the other hand, many emerging economies search for the way of further transformation to support faster development. In this context, the analysis of innovation and business sophistication factor, as well as, GDP growth of selected emerging European economies, seems an interesting research area. The study's conclusions can contribute to the discussion of possible ways of further transformation of emerging economies of Central and Eastern Europe.
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