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Przestrzenne i przestrzenno-czasowe tendencje i zależności PKB w wybranych krajach europejskich w latach 2001–2009

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Górna J., Górna K., Uniwersytet M. Kopernika w Toruniu
Acta Universitatis Lodziensis. Folia Oeconomica
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2013
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vol. 293
EN
The paper presents the analysis of per capita GDP in the area of eight European countries in the period before and after their accession to the European Union. They are: the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Poland, Slovakia and Slovenia. In particular, the spatial and spatio-temporal tendencies of GDP and the dependence among the values of per capita GDP across the established regions according to the European classification system NUTS-2 are considered. The changes in time of the dependence are analyzed as well. In the investigation the ideas of spatial and spatio-temporal trends and spatial autocorrelation were used. Additionally some econometric space-time autoregressive model was specified and verified. The concept of b-convergence of NUTS-2 regions of the investigated countries in the context of spatial connections was analyzed. The data relating to the established regions was taken from the database released by Eurostat.
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Analysis Of Convergence Of European Regions With The Use Of Composite Index

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Górna J., Górna K.
Statistics in Transition new series
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2015
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vol. 16
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issue 2
265-278
EN
Convergence study is related to several crucial issues. One of those problems is an individual character of every region in the selected area, as the regions established accordingly to the European classification system NUTS-2 are not homogeneous. Therefore, while analysing convergence in the European Union, regions with extremely dissimilar characteristics (for example GDP per capita) are taken under consideration. Absolute β-convergence means that all of the investigated regions tend to the same level of economic growth. Thus, among the regions with highly differential amounts of the examined variables the convergence hypothesis can be rejected. Due to the heterogeneity in the conducted investigation a classification based on the composite index will be used so that the convergence clubs could be established. Several approaches to convergence will be used according to those regimes. Moreover, there will be an attempt to indicate the determinants that differentiate the selected regions, such as: expenditure on R&D, HRST, quantity of patents, employment, participation of people in tertiary education among all employees. This will allow the analysis of conditional β-convergence to be conducted. In the investigation some methods and models offered by the spatial statistics and econometrics will be used. There are empirical proofs that geographical location has a great impact on the processes of economic growth. Consequently, spatial dependencies will be analysed as well.
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