Evaluation of innovative development of the Russian Federation based on the 2020 vision and strategy indicators

Abstract

The main indicators of the innovative development of the Russian Federation are considered on the basis of the data presented in two regulatory documents developed in 2008 and 2011. The indicators cover a wide range of areas of socio-economic development, and their values should be achieved by 2020. However, the targets of macroeconomic indicators laid down in the documents at the current moment of time are seen to be overestimated. The analysis of the main achievements in the field of innovative development of our country over a ten-year period is carried out. For the analysis, a set of statistical data published in various sources was used, as well as the values of target macroeconomic indicators published in the concept and strategy. Based on the assessment of indicators and their deviations, an analysis is made of the success of the innovative development of Russia in various areas - from the development of the high-tech sector to the publication activity of the authors. Based on the results obtained, it was concluded that these or those target values of macroeconomic indicators have been achieved at the current time and an assumption about achieving these values by 2020. In addition, based on the analysis, it was determined which of the three options for innovative development our country is implementing at the present stage. The main reasons that prevented the experts and the Government of the Russian Federation from reaching the main target indicators of the concept and strategy and transferring our country to “innovative tracks” are summarized.

Digital Economy Development as a Prerequisite for Innovation Activities

“…Most markets will be networked. The new markets will be focused on a person as a final consumer, and the distance between a producer and a consumer will be minimal [6].…”

Trends and Mechanisms of Digital Transformations in the Russian Federation

“…A huge amount of data is required to increase production and minimize non-productive time (NPT). The problem is that traditional data processing technologies do not allow efficient processing of large amounts of information [5][6][7][8][9]. This leads to the creation of many small repositories, and as a result, it can take months to obtain useful information based on this data.…”

Development of Information Analytical System for Quality Assessment of Human Capital in Digital Economy

“…Human capital, its individual structural elements, various approaches to the qualitative and quantitative assessment of its size have been a major focus of many researches done by Russian and foreign scientists [1][2][3][4][5][6].…”