Analysis of rating methods for assessing the scientific and technological development of the Federal districts of the Russian Federation

Abstract

Purpose: the article presents an analysis of the rating methods for the possibility of their use to assess the level of scientific and technological development of the Federal districts of the Russian Federation. Methods:the methods of comparative analysis, the method of arithmetic averages, the method of median ranks, the method of rating and the method of correlation analysis were used in the work. The research is based on materials and data from the ratings of scientific and technological development of regions - the Index of Scientific and Technological Development of the rating agency RIA Rating, the National Rating of Scientific and Technological Development of subjects of the Russian Federation of the Ministry of Education and Science of the Russian Federation and the Rating of Scientific and technological development of subjects of the Russian Federation of the Institute of Economics of the Russian Academy of Sciences. Results:the authors propose the algorithm for researching the scientific and technical development of regions, according to which, first of all, the relevant methodological approaches and assessment methods presented in the scientific literature are analyzed. Based on the results of the analysis of rating methods and author's developments in this area, three ratings of scientific and technological development of the regions of the Russian Federation, carried out by different organizations, were selected for study. The comparative analysis of the selected ratings has been carried out. Based on their materials, an assessment of the current state of scientific and technological development of the Federal districts of the country was carried out. The calculation and assessment of scientific and technological development of the Federal districts of the Russian Federation were carried out using the method of arithmetic averages and the method of median ranks. The correlation between the results of the ratings under consideration is determined. Conclusions and Relevance: according to the authors, the selected ratings can be used as adequate methods for assessing the level of scientific and technological development of the Federal districts of the Russian Federation. The proposed research algorithm allows us to demonstrate the correlation between the results of scientific and technological development ratings. The authors see the prospects for applying the results of this study in improving the tools for monitoring the scientific and technological development of regions and Federal districts of the Russian Federation.

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