The manifestation of inertia in the innovation subsystem of the knowledge economy

Abstract

Importance: the subject of the research is the Russian innovation subsystem of the knowledge economy. Purpose: еstablishing the manifestations of inertia in the dynamics of Russia’s innovative development indicators in the context of the formation of the knowledge economy. Research design: the following methods were used in the course of the research: economicstatistical, monographic and logical methods; correlation-regression and comparative analysis. The indicators characterizing the inertia of innovation processes based on theoretical analysis and empirical research include: the share of innovative goods, works, and services in their total volume (%); the share of fundamentally new technologies in the total number of advanced production technologies developed (%); the level of innovation activity of organizations (%). The actual dynamics was estimated over a period of 14 years (2010-2023). Four functions are used in correlation and regression analysis: linear, logarithmic, polynomial, and power law. Results: based on the logical analysis, theoretical and methodological provisions characterizing three types of inertia of innovation processes are formulated: inertia of the first type (countering changes while maintaining the initial state), inertia of the second type (restoring the initial state after the changes have occurred), inertia of the third type (maintaining stable dynamics of certain system parameters). Correlation and regression analysis demonstrated the presence of two types of inertia: countering changes while maintaining the initial level of the share of innovative goods, works, and services in their total volume, the share of fundamentally new technologies in the total number of advanced production technologies developed; restoration of the initial state after the changes in the indicator “the level of innovation activity of organizations”.