Temat: nuts - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Stochastic frontier analysis of regional competitiveness
Autorzy:: Furková, Andrea
Surmanová, Kvetoslava
Powiązania:: https://bibliotekanauki.pl/articles/453463.pdf
Data publikacji:: 2011
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:: Stochastic Frontier Analysis
Technical Efficiency
NUTS2 regions
Competitiveness
Opis:: 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.
Źródło:: Metody Ilościowe w Badaniach Ekonomicznych; 2011, 12, 1; 67-76
2082-792X
Pojawia się w:: Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: The analysis of employment rates in the context of spatial connectivity of the EU regions
Autorzy:: Chocholatá, Michaela
Furková, Andrea
Powiązania:: https://bibliotekanauki.pl/articles/22446568.pdf
Data publikacji:: 2018
Wydawca:: Instytut Badań Gospodarczych
Tematy:: employment rate
exploratory spatial data analysis
EU NUTS 2 regions
Opis:: 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.
Źródło:: Equilibrium. Quarterly Journal of Economics and Economic Policy; 2018, 13, 2; 181-213
1689-765X
2353-3293
Pojawia się w:: Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:: Biblioteka Nauki

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