CREATING AN INDICATOR SYSTEM TO SURVEY THE DIGITALIZATION PROCESS OF A NATIONAL ECONOMY
The purpose of the study, the results of which are presented in the article, was to develop a system of indicators that comprehensively characterize the dynamics of the development of the digital economy at the level of the national economy, allowing for comparative analysis, monitoring and evaluating the effectiveness of measures in this area. The relevance of the research topic is determined by the urgent need to manage the processes of digital transformation of the national economies of developed and developing countries. In the course of the study, the analysis of methods and methods for assessing the indicators of digitalization of the economy in Russia and foreign countries is carried out. The principles of the system approach are formulated, and the interpretation of each principle in relation to the task is given. A comparative analysis of independent digitalization evaluation indices used in various statistical databases is carried out. Recommendations are proposed to supplement the existing methods of calculating digitalization indices. Based on the analysis of published data of Rosstat suggested a hierarchical system of indicators characterizing the dynamics of the process of digitalization on the level of the national economy, highlighting the indicators of external conditions for the implementation of the processes of digital transformation and indicators of actual use of the opportunities of economic entities, enterprises, organizations. The proposed hierarchical system of indicators allows us to calculate an integral indicator taking into account the significance of each of the groups of indicators at each level of the hierarchy, which increases the accuracy of assessing the level of digitalization of national economies. The integral indicator of the level of digitalization of the national economy allows you to plan measures to support the processes of digitalization, monitor the dynamics, and evaluate the effectiveness of measures. The authors proposed the limitations of the performed research and noted the most promising directions for further research.