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Title: Studying market selection in Russia and Abroad: Measurement problems, national specificity and stimulating methods
Изучение рыночного отбора в России и мире: проблемы измерения, национальная специфика и методы стимулирования
Authors: Savin, I. V.
Issue Date: 2021
Publisher: New Economic Association
Citation: Savin I. V. Studying market selection in Russia and Abroad: Measurement problems, national specificity and stimulating methods / I. V. Savin. — DOI 10.31737/2221-2264-2020-48-4-9 // Zhournal Novoi Ekonomicheskoi Associacii. — 2021. — Vol. 48. — Iss. 4. — P. 197-204.
Abstract: This article is devoted to the model of replicator dynamics as an evolutionary theory of competition between firms in economics. We describe in detail how to test this model based on empirical data, as well as the advantages and disadvantages of these methods. The results of testing the replicator dynamics model serve as a measure of the intensity of market selection in an economy. An overview of studies that have tested the replicator dynamics model abroad and in Russia is given. A number of conclusions is drawn about the specificity of functioning of market selection in Russia, in particular, about the presence of a large number of low-performing companies (zombie firms). Several proposals are also being made to stimulate competition in order to accelerate economic growth. In the conclusion, we suggest ways on how to improve the model of replicator dynamics taking into account value chains, and provide information about changes in the assessment of market selection based on world input-output data. © 2020 New Economic Association. All rights reserved.
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85099947297
PURE ID: 20517785
ISSN: 22212264
DOI: 10.31737/2221-2264-2020-48-4-9
metadata.dc.description.sponsorship: This research has been supported by the grant from the President of the Russian Federation for young doctors of science MD-3196.2019.6.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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