No 1(32) (2019)

ANALYSIS OF THE DYNAMICS OF PROCESSES IN THE INNOVATIVE SECTOR OF THE TOMSK REGION IN 2006–2017

The dynamics of innovation processes in the economy of the regions of Russia is of considerable interest over long periods of time. Russian innovation statistics allows analyzing both quantitative indicators and qualitative assessments. It should be understood that direct comparisons of qualitative and quantitative data obtained from a single sample of enterprises are incorrect. This problem arises due to the summing up the values: quantitative indicators’ final scores are majorly contributed by the largest enterprises while qualitative assessments are shaped by the responses of enterprises of all sizes which are of the same significance. The aim of the research is to study the dynamics of the main innovation processes of large and medium-sized innovative enterprises from 2006 to 2017 in the Tomsk region using qualitative data from federal and regional statistical observations. Methods. Two arrays of information on large and medium-sized enterprises of the region were used for comparative analysis with an emphasis on various methodological techniques. Analysis of the dynamics of innovation processes was carried out using qualitative assessments of federal and regional statistical observations. In order to obtain the correct values, expert assessments of the factors were divided into two groups – «Decisive/Significant» and «Minor/Missing», and are presented as a percentage. Results. The article analyzes the dynamics of innovation processes, expressed in qualitative assessments of the results (goals) of innovation activity; factors hindering innovation; sources of information for formation of innovative policy of organization; patenting and other methods of intellectual property protection, scientific and technical developments of the organization; joint projects and types of research and development partners.

Ключевые слова:

Tomsk region, innovative activity, innovation processes, Federal statistical data, Regional statistical data

Авторы:

Natalia V. Ketova

Evgeny A. Monastyrny

Скачать PDF (Русский)