Abstract
Nowadays, a significant relationship between innovation and economic growth is emphasised more and more often. European countries are characterised by similar innovative activity and innovation-creating policy, which is confirmed by research, carried out by national government agencies and international institutions. In spite of differences arising out of geographical, historical and social factors, general tendencies in the development of high technology industries and promotion of research and development (R&D) activities are similar. In this paper, an empirical analysis of the endogenous innovative activity is presented. In the research the linear-discrimination function and logit function were used to model processes of innovative activity. Received information can be useful in planning of state innovative politics. In conclusion we can say that the countries characterized by a large increase and a high level of expenditure on R&D activity can reach a higher level of innovative activity and, therefore, generate technological development both on their territories and outside, through export of knowledge.
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© 2005 Springer-Verlag Berlin · Heidelberg
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Szajt, M. (2005). Statistical Analysis of Innovative Activity. In: Baier, D., Wernecke, KD. (eds) Innovations in Classification, Data Science, and Information Systems. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26981-9_46
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DOI: https://doi.org/10.1007/3-540-26981-9_46
Publisher Name: Springer, Berlin, Heidelberg
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