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2018 | vol. 26, 2/2018 | 199--207
Tytuł artykułu

Similarity of the European Union Countries in Terms of Graduates' Fields of Education

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purpose of the paper is to divide the European Union countries into groups of most similar distributions of graduates' fields of education. The study covers three education levels - bachelor's, master's, doctoral - and ten different fields. As a measure of the degree of similarity of distributions D statistic was used, which is the maximum absolute value of the difference between two cumulative distribution functions. Data from 2015 were used for computations. On the basis of the values of the D statistic calculated for each of the pairs of distributions the countries were divided into relatively uniform classes. The implemented procedure enabled to distinguish one compact cluster of countries in the case of the bachelor's level of education, two unlike sets in the case of the master's level and one relatively homogenous group in the case of the doctoral level.(author's abstract)
Słowa kluczowe
Rocznik
Strony
199--207
Opis fizyczny
Twórcy
autor
  • Stanisław Staszic University of Applied Sciences in Piła
autor
  • Zachodniopomorska Szkoła Biznesu w Szczecinie
Bibliografia
  • Araya, D. (2010). Educational policy in the creative economy. In: D. Araya, M.A. Peters (eds.), Education in the creative economy. Knowledge and learning in the age of innovation (pp. 3-28). New York: Peter Lang Publishing.
  • Arnold, T.B., Emerson, J.W. (2011). Nonparametric goodness-of-fit tests for discrete null distributions. The R Journal, 2 (3), 34-39.
  • Aubert, J., Reiffers, J. (2003). Knowledge economies in the Middle East and North Africa: Toward new development strategies. Washington: The World Bank.
  • Baker, D.P. (2012). The educational transformation of work. A synthesis. In: H. Lauder, M. Young, H. Daniels, M. Balarin, J. Lowe (eds.), Educating for the knowledge economy? Critical perspectives (pp. 97-113). New York: Routledge - Taylor & Francis Group.
  • Corno, F., Reinmoeller, P., Nonaka, I. (2000). Knowledge creation within industrial systems. Journal of Management and Governance, 3 (4), 379-394.
  • Cunningham, S., Jaaniste, L. (2010). The policy journey toward education for the creative economy. In: D. Araya, M.A. Peters (eds.), Education in the creative economy. Knowledge and learning in the age of innovation (pp. 29-44). New York: Peter Lang Publishing.
  • David, P. (1997). The knowledge factor: A survey of universities. The Economist, 4 (October).
  • Feller, I. (1990). Universities as engines of R&D-based economic growth: They think they can. Research Policy, 4 (19), 335-348.
  • Florida, R., Knudsen, B., Stolarick, K. (2010). The university and the creative economy. In: D. Araya, M.A. Peters (eds.), Education in the creative economy. Knowledge and learning in the age of innovation (pp. 45-76). New York: Peter Lang Publishing.
  • Gürüz, K. (2011). Higher education and international student mobility in the global knowledge economy. New York: State University of New York Press.
  • Hearn, G., Bridgstock, R. (2010). Education for the creative economy: innovation, transdisciplinarity and networks. In: D. Araya, M.A. Peters (eds.), Education in the creative economy. Knowledge and learning in the age of innovation (pp. 93-115). New York: Peter Lang Publishing.
  • Kirk, D. (2010). The "knowledge society" in the Middle East. In: D. Obst, D. Kirk (eds.), Innovation through education: Building the knowledge economy in the Middle East (pp. 1-6). New York: The Institute of International Education.
  • Leśniewska G., Pluta A. (2011). Oczekiwania rynku pracy a zainteresowania i preferencje zawodowe młodzieży. In: Cz. Plewka, H. Bednarczyk (eds.), Człowiek - Obywatel - Pracownik na rynku pracy (pp. 107-120). Szczecin: WSH TWP.
  • Mitchell, W., Inouye, A., Blumenthal, M. (2003). Beyond productivity: Information technology, innovation, and creativity. Washington: The National Academies Press
  • Neef, D., Siesfeld, A., Cefola, J. (2011). The economic impact of knowledge. New York: Routledge - Taylor & Francis Group.
  • Razali, N.M., Wah, Y.B. (2011). Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analytics, 1 (2), 21-33.
  • Rooney, D. (2010). Creatively wise education in a knowledge economy. In: D. Araya, M.A. Peters (eds.), Education in the creative economy. Knowledge and learning in the age of innovation (pp. 179-199). New York: Peter Lang Publishing.
  • Turczak, A., Zwiech, P. (2015). Podobieństwo województw w Polsce pod względem rozkładu wydatków ich mieszkańców. Ekonomia XXI Wieku, 3 (7), 100-112.
  • Turczak, A., Zwiech, P. (2016). Porównanie województw w Polsce na podstawie rozkładu dochodu rozporządzalnego per capita. Optimum. Studia Ekonomiczne, 3 (81), 131-147.
  • United Nations (2008). Creative economy. The challenge of assessing the creative economy: Towards informed policy-making. Retrieved from: http://www.unctad.org (15.07.2017).
Typ dokumentu
Bibliografia
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