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Stochastic frontier analysis of regional competitiveness

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Furková A., Surmanová K.
Metody Ilościowe w Badaniach Ekonomicznych
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2011
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vol. 12
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issue 1
67-76
EN
The regional competitiveness is the source of national competitiveness and the efficiency measuring and relative regional efficiency comparison are crucial questions for analysts as well as for economic policy creators. Regional competitiveness becomes a subject of evaluation due to increasing significance of regions in concept of European Union. This paper deals with the application of parametric benchmarking method – Stochastic Frontier Analysis (SFA) for measuring technical efficiency of NUTS2 regions of V4 countries within the time period of 8 years.
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The analysis of employment rates in the context of spatial connectivity of the EU regions

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Chocholatá M., Furková A.
Equilibrium. Quarterly Journal of Economics and Economic Policy
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2018
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vol. 13
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issue 2
181-213
EN
Research background: The main objective of this paper is to analyse the employment rates in the context of spatial connectivity of the EU regions. Employment rate is declared as one of the important indicators of the strategic document Europe 2020. The achievement of high levels of employment in individual regions plays therefore an important role. Purpose of the article: The aim of the paper is to verify the possible spill-over effects within the EU regions and their territorial interconnection in the context of employment rates. Methods: Analysis is based on tools of the Exploratory Spatial Data Analysis (ESDA) to consider spatial connectivity of the EU regions. Findings & Value added: The results show that the statistically significant clusters of regions with high employment rates are situated mainly in the central, northern and north-western part of the EU while the clusters with low values are located mainly in Greece, Spain, Italy, Portugal, Bulgaria, Romania and some French regions.
3

SPATIAL ECONOMETRIC MODELLING OF REGIONAL CLUB CONVERGENCE IN THE EUROPEAN UNION

100%
Furková A., Chocholatá M.
Ekonomický časopis (Journal of Economics)
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2016
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vol. 64
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issue 4
367 – 386
EN
This paper focuses on the testing of income convergence of the EU regions using both non-spatial and spatial approaches. The main motivation for this analysis was the fact that the classical income convergence models suffer from a misspecification due to omitted spatial dependence among regions. Our empirical results provide support for the absolute beta-convergence modelling from spatial econometric perspective in our sample of 252 NUTS 2 regions over the period 2000 – 2011. Another serious finding is that the assumption of a single steady-state for all regions often mismatches with the reality. We found the club spatial beta-convergence models to be more appropriate for analysed data.
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