IDEAS home Printed from https://ideas.repec.org/a/rnp/ecopol/ep1802.html
   My bibliography  Save this article

Modern Approaches to Measuring the State Sector: Methodology and Empirics
[Современные Подходы К Измерению Государственного Сектора: Методология И Эмпирика]

Author

Listed:
  • Abramov, Alexander E. (Абрамов, Александр Е.)

    (Russian Presidential Academy of National Economy and Public Administration)

  • Aksenov, Ivan V. (Аксенов, Иван В.)

    (Russian Presidential Academy of National Economy and Public Administration)

  • Radygin, Alexander D. (Радыгин, Александр Д.)

    (Russian Presidential Academy of National Economy and Public Administration)

  • Chernova, Maria I. (Чернова, Мария И.)

    (Russian Presidential Academy of National Economy and Public Administration)

Abstract

This article attempts to estimate the scale of state participation in the Russian economy in temporal dynamics and in comparison with other countries. Our unique methodology suggests a set of alternative approaches to measuring 3 independent components: stateowned enterprises (SOEs), state unitary enterprises and the public administration sector. Our results reveal growth of state involvement in the economy up to 46% of GDP in 2016. The share of SOEs and public administration in GDP rose from 20.2% and 16.9% in 2006 to 25.3% and 19.2% in 2016, respectively, by conservative estimates. A crosscountry comparison suggests that market capitalization, employment and SOEs’ share in GDP are significant and increasing. The share of public administration corresponds to the same estimate for OECD countries, but it is also increasing. The total state share and its growth can be evidence of an alarming trend for the Russian economy. It is 6%-12% higher than the estimate for most developing countries and, unlike in China or India, it keeps growing. This leads to state expansion in the economy, growth of state influence on SOEs and a transfer of noneconomic risks to SOEs. Apart from increasing state involvement in added value creation, the state plays an active role in reallocation of financial resources, and there is some evidence that it is even more significant than the state share in creating added value measured by GDP.

Suggested Citation

  • Abramov, Alexander E. (Абрамов, Александр Е.) & Aksenov, Ivan V. (Аксенов, Иван В.) & Radygin, Alexander D. (Радыгин, Александр Д.) & Chernova, Maria I. (Чернова, Мария И.), 2018. "Modern Approaches to Measuring the State Sector: Methodology and Empirics [Современные Подходы К Измерению Государственного Сектора: Методология И Эмпирика]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 36-69, February.
  • Handle: RePEc:rnp:ecopol:ep1802
    as

    Download full text from publisher

    File URL: https://repec.ranepa.ru/rnp/ecopol/ep1802.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bera, Anil K. & Sosa-Escudero, Walter & Yoon, Mann, 2001. "Tests for the error component model in the presence of local misspecification," Journal of Econometrics, Elsevier, vol. 101(1), pages 1-23, March.
    2. Wittmann Nadine, 2013. "A microeconomic analysis of the socio-economic situation along the Kat River Water Basin: Comment," Agrekon, Taylor & Francis Journals, vol. 52(2), pages 128-135, June.
    3. Johansson, Robert Charles, 1997. "Wage structure in the supermarket industry 1984-1993," Faculty and Alumni Dissertations 246441, University of Minnesota, Department of Applied Economics.
    4. Cpb & Capp & Case & Cepii & Etla & Tifo & Ifs & Ihs, 2015. "Study on the effects and incidence of labour taxation. Final report," Taxation Papers 56, Directorate General Taxation and Customs Union, European Commission.
    5. Martin R. Holmer & Stavros A. Zenios, 1995. "The Productivity of Financial Intermediation and the Technology of Financial Product Management," Operations Research, INFORMS, vol. 43(6), pages 970-982, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Zemtsov, S., 2020. "Institutions, entrepreneurship, and regional development in Russia," Journal of the New Economic Association, New Economic Association, vol. 46(2), pages 168-180.
    2. Vera A. Barinova & Stepan P. Zemtsov & Alexander A. Mikhaylov & Yulia V. Tsareva, 2022. "Пересмотр Долгосрочных Трендов Развития Малого И Среднего Предпринимательства В России И Регионах В Постсоветский Период," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 7, pages 29-44, July.
    3. Vera A. Barinova & Stepan P. Zemtsov & Alexander A. Mikhaylov & Yulia V. Tsareva, 2022. "Reconsidering Long-term Trends in the Development of Small and Medium-Sized Enterprises in Russia and the Regions in the post-Soviet Period [Пересмотр Долгосрочных Трендов Развития Малого И Среднег," Russian Economic Development, Gaidar Institute for Economic Policy, issue 7, pages 29-44, July.
    4. Aleksandr E. Abramov & Andrei A. Pershin & Maria I. Chernova, 2023. "Measuring the State Sector and Assessing Its Effectiveness: Approaches and Implications," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 27-46, April.
    5. Zemtsov, Stepan (Земцов, Степан) & Barinova, Vera (Баринова, Вера) & Kidyaeva, Vera (Кидяева, Вера) & Lanshina, Tatiana (Ланьшина, Татьяна), 2020. "Ecological Efficiency and Sustainable Regional Development in Russia During the 20 Years of Resource-Based Growth [Экологическая Эффективность И Устойчивое Развитие Регионов России За Двадцатилетие," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 2, pages 18-47, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Okui, Ryo, 2009. "Testing serial correlation in fixed effects regression models based on asymptotically unbiased autocorrelation estimators," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2897-2909.
    2. Giovanni Millo & Gaetano Carmeci, 2011. "Non-life insurance consumption in Italy: a sub-regional panel data analysis," Journal of Geographical Systems, Springer, vol. 13(3), pages 273-298, September.
    3. Yang, Zhenlin, 2010. "A robust LM test for spatial error components," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 299-310, September.
    4. Yushu Li & Fredrik N. G. Andersson, 2021. "A simple wavelet-based test for serial correlation in panel data models," Empirical Economics, Springer, vol. 60(5), pages 2351-2363, May.
    5. Thomas Leoni & Margit Schratzenstaller, 2020. "Senkung der Lohnnebenkosten und Finanzierungsvarianten. Bisherige Erkenntnisse und internationale Reformbeispiele," WIFO Studies, WIFO, number 66851.
    6. Klishchuk Bogdan & Zelenyuk Valentin, 2012. "Impact of Services LIberalization on Firm Level Productivity in Eastern Europe and Central Asia," EERC Working Paper Series 12/03e, EERC Research Network, Russia and CIS.
    7. Baltagi, Badi H. & Jung, Byoung Cheol & Song, Seuck Heun, 2010. "Testing for heteroskedasticity and serial correlation in a random effects panel data model," Journal of Econometrics, Elsevier, vol. 154(2), pages 122-124, February.
    8. Li, Haiqi & Fan, Rui & Park, Sung Y., 2018. "Generalized empirical likelihood specification test robust to local misspecification," Economics Letters, Elsevier, vol. 171(C), pages 149-153.
    9. Federico Zincenko & Walter Sosa-Escudero & Gabriel Montes-Rojas, 2014. "Robust tests for time-invariant individual heterogeneity versus dynamic state dependence," Empirical Economics, Springer, vol. 47(4), pages 1365-1387, December.
    10. Kleiber Christian & Zeileis Achim, 2010. "The Grunfeld Data at 50," German Economic Review, De Gruyter, vol. 11(4), pages 404-417, December.
    11. Consiglio, Andrea & Cocco, Flavio & Zenios, Stavros A., 2008. "Asset and liability modelling for participating policies with guarantees," European Journal of Operational Research, Elsevier, vol. 186(1), pages 380-404, April.
    12. Ming He & Kuan-Pin Lin, 2015. "Testing in a Random Effects Panel Data Model with Spatially Correlated Error Components and Spatially Lagged Dependent Variables," Econometrics, MDPI, vol. 3(4), pages 1-36, November.
    13. Antreas D. Athanassopoulos & Andreas Soteriou & Stavros Zenios, 1997. "Disentangling Within- and Between-Country Efficiency Differences of Bank Branches," Center for Financial Institutions Working Papers 97-17, Wharton School Center for Financial Institutions, University of Pennsylvania.
    14. repec:jss:jstsof:27:i02 is not listed on IDEAS
    15. repec:bla:germec:v:11:y:2010:i::p:404-417 is not listed on IDEAS
    16. Walter Sosa Escudero & Anil K. Bera, 2008. "Tests for Unbalanced Error Component Models Under Local Misspecication," CEDLAS, Working Papers 0065, CEDLAS, Universidad Nacional de La Plata.
    17. Andrea Beltratti & Andrea Consiglio & Stavros Zenios, 1999. "Scenario modeling for the management ofinternational bond portfolios," Annals of Operations Research, Springer, vol. 85(0), pages 227-247, January.
    18. Consiglio, Andrea & Zenios, Stavros A., 1997. "A model for designing callable bonds and its solution using tabu search," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1445-1470, June.
    19. Andrea Consiglio & Stavros A. Zenios, 1999. "Designing Portfolios of Financial Products via Integrated Simulation and Optimization Models," Operations Research, INFORMS, vol. 47(2), pages 195-208, April.
    20. John Board & Charles Sutcliffe & William T. Ziemba, 2003. "Applying Operations Research Techniques to Financial Markets," Interfaces, INFORMS, vol. 33(2), pages 12-24, April.
    21. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    22. Amy V. Puelz, 2002. "A Stochastic Convergence Model for Portfolio Selection," Operations Research, INFORMS, vol. 50(3), pages 462-476, June.

    More about this item

    Keywords

    state ownership; state-owned enterprises; public administration sector; state share in GDP.;
    All these keywords.

    JEL classification:

    • B20 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - General
    • D20 - Microeconomics - - Production and Organizations - - - General
    • D60 - Microeconomics - - Welfare Economics - - - General
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
    • H82 - Public Economics - - Miscellaneous Issues - - - Governmental Property
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration
    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General
    • L30 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - General
    • P20 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - 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:rnp:ecopol:ep1802. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: RANEPA maintainer (email available below). General contact details of provider: https://edirc.repec.org/data/aneeeru.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.