Czasopismo
Tytuł artykułu
Autorzy
Warianty tytułu
Języki publikacji
Abstrakty
Building a knowledge-based economy is closely related to innovation growth and should be reflected in the growing importance of sectors that intensively use technology and a highly skilled workforce (i.e. human capital). The growing importance of knowledge in an economy is demonstrated, inter alia, by changes in the employment structure. This paper attempts to identify how employment structure in the service sector depends on the level of knowledge-intensity in a national economy. The analysis covered EU member countries (except Greece and Croatia) during the 2006-2011 period. The intensity of knowledge use seems to vary widely among European countries. Countries advanced in their use of knowledge, having high values of KIE ('knowledge-intensity leaders' and 'knowledge-intensity supporters') have an employment structure demonstrating their structural focus on the industries that require specialized knowledge. (original abstract)
Czasopismo
Rocznik
Tom
Numer
Strony
96--105
Opis fizyczny
Twórcy
autor
- Wrocław University of Economics, Poland
Bibliografia
- Everitt B.S., Landau S., Leese M., Stahl D. (2011), Cluster analysis, 5th Edition, Wiley, Chichester.
- Grabiński T., Sokołowski A. (1984), Z badań nad efektywnością wybranych procedur taksonomicznych [Current Research on the Efficiency of Selected Classification Procedures], Research Papers vol. 181, Wydawnictwo Akademii Ekonomicznej w Krakowie, Krakow.
- Group of Research on the impact of the Innovation Union (GRIU), RTD-JRC/IPSC Ispra): Composite indicators measuring structural change, monitoring the progress towards a more knowledge-intensive economy in Europe (2011).
- Malerba F., Salter M., Saltelli A. (2011), Expert Group on the Measurement of Innovation: Indicators for Structural change, Brussels.
- Research and Innovation performance in EU Member States and Associated countries. Innovation Union progress at country level 2013 (2013), European Commission, Luxembourg: Publications Office of the European Union.
- Stanisz A. (2007), Przystępny kurs statystyki z zastosowaniem STATISTICA PL na przykładach z medycyny [An Easy Course In Statistical Research with STATISTICA PL Software, with Medicine-Related Examples], Vol. 3. Analizy wielowymiarowe [Multi-dimensional Analyses], StatSoft, Krakow.
- Walesiak M. (1996), Metody analizy danych marketingowych [Methods of analysis of marketing data], PWN, Warszawa.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171319109