INNOVATION STATISTICS IN THE TOMSK REGION. DEVELOPMENT OF INNOVATION CLUSTERS

The relevance of this work is determined by the need to analyze the development of regional innovation clusters using heterogeneous data of federal and regional statistics. The presented study continues a series of articles devoted to the statistical support of the development of scientific and innovative activities of organizations in the Tomsk region. This study reveals the basic information on formation and development of regional innovation clusters. Limitations of federal statistical observation are associated with different periodicity and depth of statistical work for enterprises of various sizes. That is why statistical studies of regional innovation clusters in Russia are difficult to perform. The aim of the research is to describe the state and dynamics of development of the regional innovation cluster «Smart Technologies Tomsk» on the basis of federal observation data in a regional context and regional statistical observation. Methods: comparative analysis, statistical analysis. The logic, structure and methods of analysis of the data are consistent with those adopted in official statistical surveys, but the use of regional statistical observation data shows new statistical possibilities. Results. The paper introduces the main indicators characterizing the state and level of development of the regional innovation cluster «Smart Technologies Tomsk» with decomposition into two components, i. e. the Information Technologies Cluster as well as the Pharmaceuticals and Medical Technologies Cluster. The analysis of the main economic and innovation indicators was carried out taking into account the breakdown of the entire statistical information in the context of large and medium-sized enterprises, as well as small and micro enterprises. It is shown that the federal statistical observation allows forming a vision of the results of the activities of the regional innovation cluster. However, with the current frequency of statistical observation of large and medium-sized, small and micro enterprises, this is possible only once every ten years. At the same time, the volume and structure of the requested information differ significantly for enterprises of different sizes, which makes it difficult to carry out a comprehensive analysis.