Problems of statistical support for the digital transformation of the economy regions of Russia
https://doi.org/10.34020/1993-4386-2023-4-146-151
Abstract
The article examines the problems that arise when collecting statistical data reflecting the digital transformation of society, both in the country as a whole and in its individual regions. The changes in the system of statistical indicators and the efficiency of providing data for monitoring the development of the information society in the Russian Federation by Rosstat from 2010 to 2022 are analyzed. The problem of incompatibility of statistical information collected by departments in the regions due to different indicators embedded in the regional strategies for digital transformation of key sectors of the economy, social sphere, and public administration for 2022-2024 is demonstrated, using the example of the Novosibirsk, Omsk, Tomsk and Rostov regions. The content of the proposed statistical indicators to reflect the process of digital transformation of the regional economy in the Novosibirsk region is also considered. The problem of fragmentation of federal and departmental statistics data in the regions has been identified.
About the Author
E. S. Shmarikhina
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
Elena S. Shmarikhina – Candidate of Economic Sciences, Associate Professor, Associate Professor of the Department of Statistics
Novosibirsk
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Review
For citations:
Shmarikhina E.S. Problems of statistical support for the digital transformation of the economy regions of Russia. Siberian Financial School. 2023;(4):146-151. (In Russ.) https://doi.org/10.34020/1993-4386-2023-4-146-151
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