Retrospective Analysis and Features of the Dynamics of Main Indicators in Training of Higher Qualification Personnel

Abstract

Innovative development is a key factor in the technological sovereignty and competitiveness of the Russian economy on a global scale, especially in the face of sanctions pressure from unfriendly states. A critical resource that defines competitive advantage in the modern world is knowledge, the central role in the formation of which is held by human capital. Workers with higher education are the foundation of human capital relied upon by the innovation economy, fundamental and applied scientific research, and research and technological development. The study of quantitative and qualitative dynamics in the provision of higher qualification staff allows for assessing the innovative potential of the national economy, which determines the relevance of this direction of research. The established objective is fulfilled in the study through a review of statistical indicators characterizing the training of higher qualification personnel in Russia. With the use of mathematical and statistical methods, analysis, synthesis and descriptive methods, a retrospective analysis of the dynamics of basic indicators has been carried out that have a direct impact on the innovative potential of the Russian economy. The connection was evaluated between innovative processes and the personnel support of the research sector. The study reveals that despite some qualitative success in recent years, there is a slight overall decline in the quantitative characteristics of higher qualification staff training, which negatively affects the intellectual capital of the country as a whole and reduces opportunities in the innovative development of the economy. This can impair the country’s intellectual capital overall and reduce opportunities for research and development and the implementation of new technology in the economy. The retrospective analysis also confirms the detrimental impact of the higher education system reform from the point of existing qualitative statistical indicators.