IDEAS home Printed from https://ideas.repec.org/a/hig/ecohse/201914.html
   My bibliography  Save this article

Survival of the Fittest? Measuring the Strength of Market Selection on the Example of the Urals Federal District

Author

Listed:
  • Ivan Savin

    (Ural Federal University, Yekaterinburg, Russia)

  • Oleg Mariev

    (Ural Federal University, Yekaterinburg, Russia)

  • Andrey Pushkarev

    (Ural Federal University, Yekaterinburg, Russia)

Abstract

It this article we analyze the strength of market selection for a wide range of industries in the Urals Federal District (UFD) and compare it with the results for several foreign countries. The empirical analysis is based on the Ruslana database provided by Bureau van Dijk (BvD) for the period from 2006 to 2015. For the first stage of the analysis, we resort to the well-dis­cussed method of aggregated labor productivity decomposition at the industry level into two main processes, namely, the growth of productivity within the firm and the redistribution of market shares between firms on the market. The results obtained show that the industrial productivity growth is almost entirely explained by the increase in productivity at the level of the firms, while the role of market selection is negligible. However, due to a number of limitations of this approach, it would be incorrect to deny the significance of the competition as a whole. For this reason, at the second stage we consider the relationship between the growth of firms’ revenues and their productivity directly. Our results show that the role of market selection in explaining firm growth is small in Russia and is lower in comparison with developed countries. This result holds if instead of labour productivity one uses total factor productivity. The revealed weak interrelation indicates the need to improve industrial policy in the direction of increasing the efficiency of competition.

Suggested Citation

  • Ivan Savin & Oleg Mariev & Andrey Pushkarev, 2019. "Survival of the Fittest? Measuring the Strength of Market Selection on the Example of the Urals Federal District," HSE Economic Journal, National Research University Higher School of Economics, vol. 23(1), pages 90-117.
    • Handle: RePEc:hig:ecohse:2019:1:4
    as

    Download full text from publisher

    File URL: https://ej.hse.ru/en/2019-23-1/252584141.html
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ivan Savin & Maria Novitskaya, 2023. "Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 507-542, September.
    2. Ivan Savin & Kristina Chukavina & Andrey Pushkarev, 2023. "Topic-based classification and identification of global trends for startup companies," Small Business Economics, Springer, vol. 60(2), pages 659-689, February.
    3. Savin, I., 2020. "Studying market selection in Russia and abroad: Measurement problems, national specificity and stimulating methods," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 197-204.
    4. Andrey Pushkarev & Anna Sennikova & Oleg Mariev, 2020. "Econometric Estimation Of Market Selection In Russia: Different Performance Indicators," Proceedings of Economics and Finance Conferences 10913104, International Institute of Social and Economic Sciences.
    5. Mundt, Philipp & Cantner, Uwe & Inoue, Hiroyasu & Savin, Ivan & Vannuccini, Simone, 2021. "Market selection in global value chains," BERG Working Paper Series 170, Bamberg University, Bamberg Economic Research Group.

    More about this item

    Keywords

    market selection; productivity decomposition; firm growth; replicator dynamics;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hig:ecohse:2019:1:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Editorial board or Editorial board (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.