Analysis of Russia and other Countries Economic Parameters and Their Connection with the Development of Science Parks

Economic growth factors in different countries have their own special resources and features due to the difference in development process and environment structure. The authors analyzed the influence of the science parks upon the economic indicators on the example of Russia. Although there are organizations in Russia created to support the science parks creation, existence and development, there is no efficient and common mechanism to support functioning of the science parks and to make it become oriented at the final result (improving the growth of the country’s economy). The article contains an attempt for the analysis and estimation of the Russia’s economy growth possibilities because of the science parks’ factor, the main of which is the creation of the comfortable conditions for the establishment and development of start-ups, smooth work of the small innovative and other organizations. The analysis of the Russian economy indices is performed on the basis of the statistics data of the Russian Statistics Bureau published during 1995–2012. The regressive dependencies, contained in the work and built according to the real statistics data, can provide some data, connected with the extensive component of the science parks factor effect (increase of the number of innovations, created because of the SP factor), such as the maximum possible Russian GDP in 2010, if the science parks supported all small businesses, GDP value expected in 2015 if the situation with the science parks is not changing and if the science parks fully support all small businesses and start-ups etc.

 Increase of the number of innovations, created because of the SP factor (intensive effect).
Therefore, there are two main directions of the Russian SP factor analysis that could be considered the important ones: i. Is there a growth potential in Russia, established only on the basis of the quantity (extensive) effect?
ii.What is the growth potential, established on the basis of the SP factor intensive component?
As long ago as the 90s, there were already some attempts to create the science parks in Russia from "below", but the legislative base in the form of the regulatory acts was established only in [2005][2006].The Association of Russian Science Parks, a non-official public organization, the goal of which is to provide the support for the science parks creation, existence and development, was also established.Still, up to now there is no efficient and common mechanism that would support functioning of the science parks and which would be oriented at the final result -indicating the growth of the country's economy.
In our opinion, such mechanism should the state one (possibly, hierarchically established and built into the power vertical).It should contain not only the means of support, but also the means for creation and development of the science parks in the most important industries and areas.For this it is necessary to create specific functional systems, in particular the system that would monitor the conditions and parameters of the SP, the system that would model the variants and possible scenarios of the SP development, the system that would provide SP with the human resources etc.
The article contains an attempt for the analysis and estimate of the Russia's economy growth possibilities because of the SP factor.The analysis of the Russian economy indices is performed on the basis of the statistics data of the Rosstat (Russian Statistics Bureau), that were officially published on its website during 1995-2012.It is necessary to mention though, that not all the data in Rosstat within the mentioned period are presented equally well.This, in its turn, could have an impact upon the accuracy of some estimates.

Gross Domestic Product
One of the most important economic integral indices of any country is the GDP, Gross Domestic Product.Statistics data contain the nominal GDP value (according to the current year prices).But in order to compare the results of several years, usually an inflation coefficient is included (prices increase in relation to the previous year), which is then used for calculating the deflator, a coefficient that specifies the prices change in relation to some definite year (in this research it is 2013).In this case, the actual GDP will show the values that were corrected to the deflator value (see Table 1). Fig

Table 1 .
Russia's GDP for the period of 1995 to 2012 (in bln Rubles) s (t) and its lin n is highly ade ng this period.000 billion Ru the country's G nomy, includin umber of the b ate and the num mbers that we of the private e hip form Vol. 6, No. 6; near approxim equate to the v Thus, the 20 ubles or 100 bi GDP.Let's an ng small busin businesses and mber of the pr ent up during t enterprises.