Directions of Statistical Study of the Implementation of Advanced Production Technologies in Russia

Author:

Umanets L. V.

Abstract

The paper deals with certain aspects of the statistical study of how advanced production technologies are implemented at the present stage of scientific and technological progress in Russia. This matter is addressed from two perspectives: statistics on the development and use of advanced production technologies and statistics on stimulating the greatest possible return on the results of the introduction of advanced production technologies in the shortest period of time possible.The author formulates proposals to improve the system of accounting indicators by improving the quality of the selection of organizations that develop and use advanced production technologies, as well as the quality of accounting for unaccounted technologies at all levels of management. Recommendations are given for adjusting each of the main areas of use of the evaluation indicators, as well as improving the methodology for the formation of the evaluation indicators themselves, in particular, by applying a score to each of them.The statistics of advanced production technologies implementation is evaluated. Particular attention is paid to accounting for the formation of applications and their implementation in such areas as patent issuance, registration of trademarks and industrial designs. The article considers activity of the World Intellectual Property Organization (WIPO) in the area of patent statistics.The author explains the need to gradually combine the two forms of statistical accounting – state (Rosstat) and WIPO statistics – into a single form, which will allow, at the early stages of development and use of technologies, to assess their quality and take appropriate measures to improve them.

Publisher

Information and Publishing Centre Statistics of Russia

Subject

General Medicine

Reference12 articles.

1. Frascati Manual 2015. Guidelines for Collecting and Reporting Data on Research and Experimental Development. OECD; 2015. P. 398. Available from: https://www.oecd.org/publications/frascati-manual-2015-9789264239012-en.htm.

2. Abdrakhmanova G.I. et al. (eds.) Digital Transformation of Industries: Starting Conditions and Priorities: Reports to XXII April International Scientific Conference on Economic and Social Development, Moscow, 13–30 April, 2021. Moscow: HSE University Publishing House; 2021. 239 p. (In Russ.)

3. Dezhina I. Advanced Manufacturing Technologies: Russia’s Place. Russian Economic Development. 2014;2(2):47–50. (In Russ.)

4. Dezhina I., Ponomarev A. Advanced Manufacturing: New Emphasis in Industrial Development. Foresight-Russia. 2014;8(2):16–29. (In Russ.)

5. Dezhina I., Ponomarev A., Frolov A. Advanced Manufacturing Technologies in Russia: Outlines of a New Policy. Foresight-Russia. 2015;9(1):20–31. (In Russ.)

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