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Environmental Quality as a Decisive Variable in Shaping Regional Development Policy

100%
Perło D.
Studies in Logic, Grammar and Rhetoric
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2014
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vol. 37
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issue 1
159-178
EN
The article examines the impact of environmental quality on shaping the development policy of Polish voivodeships. The main analytical tool used was the synthetic index of environmental quality, compiled by means of the Perkal method. It was constructed in order to organize Polish voivodeships in terms of environmental quality, which was determined in a comprehensive way on the basis of three thematic areas: advantages of the natural environment, the level of pollution (degradation) of the environment as well as active protective activities. The obtained values of synthetic measures were then compared to the level of economic growth of Polish regions. It was necessary in determining which voivodeships perceive the quality of the environment as the main factor enhancing their economic growth, and which treat it as a barrier to economic development.
2
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Application of the Perkal method for assessing competitiveness of the countries of Central and Eastern Europe

100%
Kruk H., Waśniewska A.
Oeconomia Copernicana
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2017
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vol. 8
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issue 3
337-352
EN
Research background: The changes that took place in the late twentieth century led to the transformation of the political system in the countries of Central and Eastern Europe (CEE). As a result, there has been an increase in the competitiveness of some of the economies among the CEE states. Due to different priorities and goals, these countries are also characterized by different levels in socio-economic development. Purpose of the article: The aim of the article is to identify the determinants affecting the competitiveness among the selected CEE countries. Methods: Based on Eurostat data, a set of determinants affecting competitiveness was established. A number of determinants have been eliminated in relation to the variation coefficient. At the same time, a classification of the level of competitiveness among the CEE countries has been made by using the Perkal method. The analysis used 14 selected indicators, 10 of which are considered as stimulating, and 4 as deteriorating the competitiveness of national economies. The result led to obtaining a synthetic level indicator of potential of the CEE countries. Findings & Value added: Following the findings of the conducted analysis, the highest economic competitiveness exists in Estonia and in the Czech Republic, while the lowest was found in Romania and Bulgaria. The results of the evaluation obtained with the Perkal method concerning the competitiveness of the CEE countries that belong to the EU are largely consistent with those presented in different global competitiveness rankings. However, the method applied in this article seems much simpler and less time-consuming, allowing at the same time an optimal choice of analytical determinants. The selected linear Pearson correlation?s coefficient confirmed that there is a strong positive relationship between the designated values of the synthetic indicator of competitiveness and the GDP per capita. This confirms the validity of test method used.
3
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Ocena potencjału innowacyjnego polskich województw i prawdopodobieństwo jego zmiany

51%
Luśtyk A.
Zeszyty Naukowe Polskiego Towarzystwa Ekonomicznego w Zielonej Górze
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2022
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issue 16
66-83
EN
The aim of this article is to assess the innovative potential of Polish regional economies. The article discusses various definitions of the category of innovative potential. On the path of achieving the goal, two taxonomic methods and a method that using transition matrices which come from the Markov chain theory were used. The analysis leads to the following conclusions. Firstly, the results confirmed the findings of other researchers that the best developed regions in terms of their ability to develop innovation are mazowiecki, dolnośląski, śląski, małopolski and wielkopolski, while the least developed regions are podlaski, warmińsko-mazurski, lubuski and opolski. Secondly, the ability to develop innovation is stable over time. The transition from the lower to the higher level takes place in multiannual cycles and is related to the effectiveness of the regional innovation ecosystem.
PL
Celem artykułu jest ocena potencjału innowacyjnego polskich gospodarek regionalnych. W artykule przeprowadzono dyskusję różnych ujęć definicyjnych kategorii potencjału innowacyjnego. Na ścieżce osiągania celu poznania wykorzystano dwie metody taksonomiczne oraz metodę wykorzystującą macierze przejścia pochodzące z teorii łańcuchów Markowa. Przeprowadzona analiza skłania do sformułowania następujących wniosków. Po pierwsze, wyniki potwierdziły ustalenia innych badaczy, iż najlepiej rozwiniętymi pod względem zdolności do rozwoju innowacji są regiony mazowiecki, dolnośląski, śląski, małopolski i wielkopolski, zaś najsłabiej regiony podlaski, warmińsko-mazurski, lubuski oraz opolski. Po drugie, zdolność do rozwoju innowacji jest stabilna w czasie. Przejście z niższego do wyższego poziomu odbywa się w cyklach wieloletnich i jest powiązane z efektywnością regionalnego ekosystemu innowacji.
4
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Wpływ funduszy strukturalnych oraz Funduszu Spójności na rozwój regionów w Polsce

51%
Dudzik K., Głowacki J.
Zarządzanie Publiczne / Public Governance
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2010
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issue 1(11)
37-60
PL
Do końca roku 2008, zgodnie z zasadą n+2, wdrożono w Polsce projekty w okresie programowania 2004-2006. Warto zatem podjąć próbę oceny prowadzonej w tym czasie polityki spójności i zarazem oszacowania realnego wpływu, jaki miały przekazane fundusze europejskie na rozwój społeczno-gospodarczy. Szczególnie interesujące wydaje się przeprowadzenie takiej analizy na poziomie województw. Do jej przeprowadzenia wykorzystane zostały dwie metody: metoda Perkala oraz analiza taksonomiczna. W wyniku obliczeń udało się obronić tezę o dodatniej zależności pomiędzy wartością środków płynących do danego województwa z funduszy europejskich a różnicą w poziomie rozwoju w latach 2004 i 2008.
EN
The end of 2008, according to the n+2 rule, ended in Poland the implementation of projects in the programming period 2004-2006. This is time to assess the cohesion policy and also estimate the real impact of European funds for socio-economic development. Particularly interesting seems to be conducting such an analysis at the level of voivodeships. To carry it out two methods were used: Perkal method and taxonomic analysis. As a result of the calculations defended the thesis of the positive relation between the value of funds flowing into the region from European funds and the difference in levels of development between 2004 and 2008.
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