Multivariate statistical analysis of innovativeness of manufacturing companies in Poland - selected aspects.

• Autores: Maria Magdalena Grzelak, Waclawa Starzynska
• Localización: Anales de ASEPUMA, ISSN-e 2171-892X, Nº. 21, 2013, 28 págs.
• Idioma: español
• Enlaces
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• Resumen

  • Innovativeness of industrial enterprises is an important factor of firms and the whole economic development. Introduction of new improved products, processes and methods of production are factors which increase productivity. In order to maintain their market position companies need to be constantly developed and innovative.

    Investigations in this area seem to be connected with identification, measuring and scale determining of innovativeness of economy at different statistical aggregation levels. So, there is a need to present methods or measures which are enable to asses a degree of innovativeness.

    The aim of the paper is to construct statistical classes of innovativeness of manufacturing activities in Poland in the years 2009-2011 using linear object grouping and cluster analysis. In the empirical verification data based on NACE-Revision Classification gathered by Central Statistical Office are used. They come from the study of innovation activities of enterprises conducted in the period 2009-2012.

    The results presented in the paper could be useful for economic policy of manufacturing innovativeness.

• Referencias bibliográficas
  • Acs, Z. J.; Audretsch, D. B. (1978). ,Innovation, Market Structure, and Firm Size”. The Review of Economics and Statistics, vol. LXIX, no....
  • Acs, Z. J.; Audretsch, D. B. (1991). ,Innovation and Size at the Firm Level. Southern Economic Journal, vol. 57, no. 3. Central Statistical...
  • Gatnar, E. and Walesiak, M. (ed.) (2004). ,,Metody statystycznej analizy wielowymiarowej w badaniach marketingowych. Academy of Economics...
  • Grabiński, T.; Wydymus, S. and ZELIAŚ, A. (1989). ,Metody taksonomii numerycznej w modelowaniu zjawisk społeczno-gospodarczych”. Polish Scientific...
  • Kolenda, M. (2006). ,,Taksonomia numeryczna. Klasyfikacja, porządkowanie i analiza obiektów wielocechowych”. Academy of Economics in Wrocław...
  • Kukuła, K. (2000). ,, Metoda unitaryzacji zerowanej”. Polish Scientific Publishers (PWN), pp.47-52 and 106-110.
  • Malina, A. and ZELIAŚ, A. (1998). ,On building taxonometric measures on living conditions”. Statistics in Transition, Vol. 3, No. 3. pp. 529-530.
  • Mikulec, A. (2008). ,Ocena metod porządkowania liniowego w analizie starości demograficznej”. Wiadomości Statystyczne 2008, No. 6, pp. 28–39.
  • Ostasiewicz, W. (ed.) (1999). ,Statystyczne metody analizy danych”, (2nd edition). Academy of Economics in Wrocław Press, pp. 110.
  • Talar, S. (2006). Znaczenie zagranicznego kapitału produkcyjnego dla innowacyjności polskiego przemysłu”. Academy of Economics in Katowice...
  • Zeliaś, A. (ed.) (2000). ,Taksonomiczna analiza przestrzennego zróżnicowania poziomu życia w Polsce w ujęciu dynamicznym”. Academy of Economics...
  • Zeliaś, A. (2002). ,,Some notes on the selection of normalisation of diagnostic variables”. Statistics in Transition 2002, Vol. 3, No. 5,...