The aim of this study was a synthetic evaluation of EU funds’ distribution between 16 voivodships. It was found out that the regional EU funds’ distribution in the years 2000–2005 is an effect of a method, according to which the voivodships that more populated are privileged. In absolute numbers the biggest recipients were: Masovia, Silesia and Malopolska – regions with a high level of urbanization, equipped with a broad business environment and with a relatively rich scientific background. At the same time, these voivodships win the most direct foreign investments. Thus we deal with a double privilege of these voivodships in relation to other regions. In relative numbers, described by an index of received funds in relation to the share of produced GPD, the dominating regions are: Warmia and Mazury, Podlasie and Western Pomerania. But it does not mean that in this way the distance between these voivodships and the most developed regions is reduced. The research did not prove that there is a connection between GDP per capita and the amount of aid per one inhabitant. The lack of any connection (positive or negative), which is a logic effect of the assumption that the regional distribution of EU funds is conditioned mainly by the number of inhabitants, indicates that the criteria do not differentiate voivodships according to the anticipated economic effects. They take an egalitarian approach – every inhabitant should receive statistically equally.
Małopolska (Lesser Poland) and Śląsk (Silesia) are historical regions which only partly overlap with the present-day borders of the Małopolskie and Śląskie voivodeships. In spite of their geographical proximity, they are historically and culturally dissimilar. A survey has been carried out in order to verify the perception of the regional identity of these voivodeships by their inhabitants. It was found that although old cultural and historical divisions are still important for the people, possible economic advantages seem to prevail. In addition, the Śląsk region as compared to the previous surveys is no longer identified with air pollution and environmental degradation.
The work described here has sought to investigate differences between the statistical features of large (annual) datasets of laboratory results from 23 regions of Poland. Collections of results for total protein, haemoglobin, cholesterol and glucose levels were analyzed. An original computer method called JEG, devised at the Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences was used. Differences in mean values ranged from –2.81 to 2.01 standard deviations from the mean value for all results. The dependence of results on the sex and age classes differed greatly in the two extreme regions. In the comprehensive valuation of regions, the north-west region stood out in a positive sense, while the Wielkopolska region fared surprisingly poorly, and Upper Silesia and the north-east were also far from ideal. This situation in the Malopolska region looked extremely serious. The usefulness of the method was demonstrated by the research carried out, so it would seem advisable for the investigation to be continued with, in order that the picture for the country as a whole might be made complete.
