Techniques for Compiling Input-Output Tables to Measure the Impact of the Digital Economy in Russia

As global digital transformation unfolds, analyzing the effects of digital technologies on economics is increasingly important. The choice of better methods and tools for assessing the contribution of digitalization requires further in-depth research. This paper focuses on developing a methodology for measuring the following key indicators of the digital economy, such as development level, dynamics, and linkages between sectors in the context of structural changes in production and consumption at the industry level. The basis of the proposed solution lies in using matrices of coefficients of direct and full material costs obtained based on the Input-Output tables. Using the data from 2016 to 2020 for the Russian Federation, the authors conducted calculations and identified the economic activities most affected by digital transformation. The developed methodology makes it possible to measure the contribution of the digital economy based on the inter-industry balance, identify key sectors, and propose measures to stimulate digitalization processes. The results of the study can inform managerial decision-making at the country, regional, and industry levels. Open data from the Federal State Statistics Service (Rosstat) served as the information basis of the study.