مدل دارایی عمومی اروپا و پشتیبانی برای بخش RDI

In the present paper is introduced an econophysics model for the public finance and support in the European RDI sector, especially for EU15 respectively EU25.

Econophysics applies various models and concepts imported from condensed matter and statistical physics to analyze economic and financial phenomena. This new field of research has generated a lot of methodological debate (Schinckus, 2010a). It is often presented as a positivist discipline that provides a more empirical basis to economics .Despite the novelty of this new approach, more and more papers about econophysics have been published in journals devoted to Physics and Statistical Mechanics. Several meeting series1 dedicated to this topic are regularly organized and moreover, new Ph.D. programs in Econophysics recently appeared in some universities.2 Nowadays, Econophysics appears to be a new step3 in the history and the evolution of Physics Sciences and then the question about the disciplinary characteristics of Econophysics must then be asked (Schinckus, 2010; Gallegati et.al., 2006; McCauley, 2006). Present paper will present a new econophysics model to modelling the european finance and support for the European RDI sector, especially for EU15 respectively EU25. The new econophysics model will be a dynamical one. For the 1970s, a new theoretical movement has been initiated by some physicists who began publishing articles devoted to the study of social phenomena, such as the formation of social groups (Weidlich,1971) or social mimetism (Callen& Shapiro, 1970). The next decade confirmed this new theoretical trend (labeled sociophysics), as the number of physicists publishing papers devoted to the explanation of social phenomena and the number of themes analyzed continued to increase. During the 1990s, physicists turned their attention to economics, and particularly financial economics, giving rise to econophysics.

The main factors for analysis the relation between RDI and competitiveness covers 3 dimensions of innovation which are: human resources, research systems open, excellent and attractive finance and support respectively. Entities that carry out RDI activities refers to efforts done on innovation at the firm level, but also at public level too. These are grouped into 3 dimensions of innovation: investment firms, linkages and entrepreneurship and intellectual assets. The results of such analysis concerns the effects on innovation activities, which are in 2 sizes: innovators and economic effects. The 25 performance indicators achieved the status of research and innovation in Europe. It was studied in the present paper only the situation of excellent and attractive finance and support. All innovation leaders should have high values for RDI expenditure for business, innovation, human resources, finance and support and investment firm. All top European innovators must excel in marketing technological knowledge. Good overall performance innovation leaders should reflect a balanced national research and innovation. Big companies invest in research, development and innovation. Prevail throughout the European Union innovationrelated products and services related to actions that are reported to be improved or newly introduced in the last two years. Innovative companies are successful. The figures do not indicate that innovative firms are more likely to have a turnover that has been growing in recent years. Innovation is more characteristic to larger firms. From the study of the indicators in the forecasts for the next 20 years we can see that the majority observe a trend accelerated after a dynamic econophysics model presented above, the individual trajectories for each indicator. In conclusion we can say: there is a finance and support the increasing trend of second order which acts as a dynamic accelerated econophysics system in all cases of public spending. Only the venture capital slowed corresponding to a dynamic system, which can be seen in the decreasing generated. But this finance and support model can be done by using the Fagerberg model based on his paper from 1996 (Fagerberg, 1996). Most of the previous studies were performed on samples of firms in each country, while the present study is estimated on a sample consisting of EU15, EU25. Sample size given in this report is different from the samples used by other authors. the difference can be attributed to the choice of explanatory variables. in addition, input on innovation and firm size, previous studies have been modelled the output of research development and innovation studies on depending on the demand side and technological factors, sources of information for innovation, cooperation models and characteristics of firms, such as age, existence RDI facilities from the impact of change on performance management (Hashi & Stojcic, 2012). Hashi and Stojcic results presented in their paper in 2012, confirms the shape model introduced in this study.