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Stochastic frontier analysis of regional competitiveness

100%
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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Spatial cross-regressive models in the study of the spatial diffusion of innovation in Central Europe

88%
Kisiała W.
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
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2017
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issue 476
97-105
EN
In the paper, spatial cross-regressive models were used for the identification of the processes of the spatial diffusion of innovations in Central Europe. As it is difficult to measure the diffusion of innovations directly, the empirical part of the work was based on symptomatic indicators. In the course of the research, the author undertook to show how variables indicating the level of innovation (considered to be independent variables) shaped the efficiency of work, expressed as the indicator of gross value added per worker (modelled dependent variable). The regression analysis conducted showed that there was a statistically significant link between innovation and the efficiency of work in Central European countries, also in the dimension of spatial interactions among regions. Econometric modelling led to the conclusion that the spatial diffusion of innovations occurred.
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