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Econometric Modeling of Adaptation of the Russian Economy to Western Countries’ Sanctions

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Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies (MSBC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1717))

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Abstract

The econometric modeling of the adaptation of the Russian economy to the sanctions of Western countries is being discussed. The exponential adaptation model adopted in this article is an integral part of the production function of the Russian economy constructed here. At the last stage of the production function construction scheme (the post-factum forecasting stage), the production function of the Russian economy with the adaptation model used in it showed high accuracy of forecasting real GDP. This circumstance made it possible to interpret the model of adaptation of the Russian economy to the sanctions of Western countries as adequate. The impact of Western sanctions on the Russian economy is decreasing by about 25% every year.

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Authors and Affiliations

  1. Financial University under the Government of the Russian Federation, GSP-3, Leningradsky Ave., 49, 125993, Moscow, Russia

    Viktor Byvshev

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  1. Viktor Byvshev
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Correspondence to Viktor Byvshev .

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Editors and Affiliations

  1. University of Arkansas at Little Rock, Little Rock, AR, USA

    Nitin Agarwal

  2. Central Economic Mathematical Institute of RAS, Moscow, Russia

    George B. Kleiner

  3. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Leonidas Sakalauskas

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Byvshev, V. (2023). Econometric Modeling of Adaptation of the Russian Economy to Western Countries’ Sanctions. In: Agarwal, N., Kleiner, G.B., Sakalauskas, L. (eds) Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies. MSBC 2022. Communications in Computer and Information Science, vol 1717. Springer, Cham. https://doi.org/10.1007/978-3-031-33728-4_7

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  • DOI: https://doi.org/10.1007/978-3-031-33728-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33727-7

  • Online ISBN: 978-3-031-33728-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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