PROBLEMS AND RESEARCH TOOLS DEVELOPED THE LEVEL OF INNOVATIVE DEVELOPMENT OF RUSSIAN REGIONS

The authors examine the approaches and compare the assessment of the level of innovative development of Russian regions by various known methods. Particular attention is paid to the discrepancy to the different methods caused a set of parameters describing the combined index of innovative development and algorithms used in its calculation. It showed a methodical scheme of creation of original software for analytics and visualization of complex indicators of innovative development, which allows to compare results across existing or new flexibility formed by the algorithms in accordance with the purposes of analysis and expertise to develop solutions for the various levels of government. Illustrations are given on the testing program for the calculation of certain types of composite indexes. The estimation of the level of innovative development is performed by methods, which have different set of indicators and algorithms. Purpose of the article - the analysis methods to assess the composite index of Regional Development to create a general scheme for its calculation based on the original software. The methodology of the study includes the comparison of the empirical results of different methods in order to create a computer program that contains a library of algorithms for analysis and visualization. The research result - scheme of constructing the composite index and its interregional comparisons. It is shown that the application of different algorithms provide similar estimates the level of innovative regional development - leaders such as Moscow and St. Petersburg, Nizhny Novgorod region. At the same time there is a big difference estimates for most regions. Verification of scheme for calculating the composite index is made by some techniques on the example of assessing the knowledge economy index regions of Russia. The software package allows to create and maintain a library of algorithms constructed by the user, visualization results. Its practical application extends the capabilities of the applied analysis of various formulations of indicators characterizing the development of Russian regions