IDEAS home Printed from https://ideas.repec.org/a/spr/rrorus/v13y2023i1d10.1134_s207997052360004x.html
   My bibliography  Save this article

Regional Inequality in Russia: Anatomy of Convergence

Author

Listed:
  • K. P. Gluschenko

    (Novosibirsk State University
    Institute of Economics and Industrial Engineering of the Siberian Branch of the Russian Academy of Sciences)

Abstract

In 2002–2018, the inequality between Russian regions in terms of real personal incomes per capita was decreasing, which indicates convergence. In this context, real incomes mean that they are comparable across regions, being adjusted for regional price levels. This paper reveals the “anatomy” of the convergence process, finding the role of every individual region in it. To do so, regional time series of real incomes per capita are tested for catching-up with the national income per capita. Unlike the widespread methodology of testing convergence with the use of time-series methods, nonlinear asymptotically decaying trends model the convergence processes in this paper. The results obtained suggest that 54.4% of the Russian regions exhibit convergence, and 20.3% of regions maintain a stable (on average) income gap. At the same time, there is a significant proportion of deterministically diverging regions, equaling 22.8%. Two regions only (2.5%) do not exhibit a regular behavior.

Suggested Citation

  • K. P. Gluschenko, 2023. "Regional Inequality in Russia: Anatomy of Convergence," Regional Research of Russia, Springer, vol. 13(1), pages 1-12, December.
  • Handle: RePEc:spr:rrorus:v:13:y:2023:i:1:d:10.1134_s207997052360004x
    DOI: 10.1134/S207997052360004X
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S207997052360004X
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1134/S207997052360004X?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. H. Lehmann & M. G. Silvagni, 2013. "Is There Convergence of Russia s Regions? Exploring the Empirical Evidence: 1995 2010," Working Papers wp901, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    3. Tochkov, Kiril, 2021. "Regional Convergence In Large Emerging Economies: A Distribution Dynamics Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 25(1), pages 154-177, January.
    4. Quah, D., 1990. "Galton'S Fallacy And The Tests Of The Convergence Hypothesis," Working papers 552, Massachusetts Institute of Technology (MIT), Department of Economics.
    5. Alisher Akhmedjonov & Marco Chi Keung Lau & Berna Balcı İzgi, 2013. "New evidence of regional income divergence in post-reform Russia," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2675-2682, June.
    6. Danny Quah, 1993. "Galton's Fallacy and Tests of the Convergence Hypothesis (Now published in Scandinavian Journal of Economics 95 (4), 1993, pp.427-443.)," STICERD - Econometrics Paper Series 265, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    7. Serena Ng & Pierre Perron, 2005. "A Note on the Selection of Time Series Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 115-134, February.
    8. World Bank Group, 2017. "Convergence without Equity," World Bank Publications - Reports 30045, The World Bank Group.
    9. Bernard, Andrew B & Durlauf, Steven N, 1995. "Convergence in International Output," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 97-108, April-Jun.
    10. Gianni Carvelli, 2020. "Beyond Beta-Convergence: Convergence in Differences and its Application to the Russian Regions," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(10), pages 1-45, October.
    11. Hansjörg Blöchliger & Olivier Durand-Lasserve, 2018. "The drivers of regional growth in Russia: A baseline model with applications," OECD Economics Department Working Papers 1523, OECD Publishing.
    12. Lehmann, Hartmut & Oshchepkov, Aleksey & Silvagni, Maria Giulia, 2020. "Regional Convergence in Russia: Estimating a Neoclassical Growth Model," IZA Discussion Papers 13039, Institute of Labor Economics (IZA).
    13. Fischer, N. I. & Mammen, E. & Marron, J. S., 1994. "Testing for multimodality," Computational Statistics & Data Analysis, Elsevier, vol. 18(5), pages 499-512, December.
    14. repec:taf:applec:45:y:2013:i:18:p:2675-2682 is not listed on IDEAS
    15. Vera Ivanovna Ivanova, 2014. "Regional Convergence of Income: Spatial Analysis," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 4, pages 100-119.
    16. Oxley, Les & Greasley, David, 1995. "A Time-Series Perspective on Convergence: Australia, UK and USA since 1870," The Economic Record, The Economic Society of Australia, vol. 71(214), pages 259-270, September.
    Full references (including those not matched with items on IDEAS)

    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. Francisco Delgado & Maria Jose Presno, 2011. "Convergence of fiscal pressure in the EU: a time series approach," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4257-4267.
    2. German-Soto, Vicente & Gluschenko, Konstantin, 2021. "Long-Run Cross-State Growth Comparison in Mexico," MPRA Paper 109015, University Library of Munich, Germany.
    3. Daniel J. Henderson & Christopher F. Parmeter & R. Robert Russell, 2008. "Modes, weighted modes, and calibrated modes: evidence of clustering using modality tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 607-638.
    4. E. Taymaz, 2022. "Regional Convergence or Polarization: The Case of the Russian Federation," Regional Research of Russia, Springer, vol. 12(4), pages 469-482, December.
    5. Gluschenko, Konstantin, 2020. "Nonlinear Models of Convergence," MPRA Paper 99316, University Library of Munich, Germany.
    6. Camarero, Mariam, & Flôres, R. & C. Tamarit, 2002. "Time series evidence of international output convergence in Mercosur," Computing in Economics and Finance 2002 87, Society for Computational Economics.
    7. Elena Villar Rubio & Quesada Rubio & José Manuel & Valentín Molina Moreno, 2015. "Convergence Analysis of Environmental Fiscal Pressure across EU-15 Countries," Energy & Environment, , vol. 26(5), pages 789-802, September.
    8. Omid Ranjbar & Tsangyao Chang & Chien-Chiang Lee, 2016. "Income Convergence toward USA: New Evidences for Latin and South American Countries," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 20(2), pages 141-162, Spring.
    9. Ho, Tsung-wu, 2015. "Income inequality may not converge after all: Testing panel unit roots in the presence of cross-section cointegration," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 68-79.
    10. Oshchepkov, Aleksey & Lehmann, Hartmut & Silvagni, Maria Giulia, 2023. "Regional convergence in Russia: Estimating an augmented Solow model," Economic Systems, Elsevier, vol. 47(4).
    11. Delgado Narro, Augusto Ricardo, 2020. "The Process of Convergence among the Japanese Prefectures: 1955 - 2012," MPRA Paper 100361, University Library of Munich, Germany.
    12. Vicente Esteve & Simon Sosvilla-Rivero & Cecilio Tamarit, 2000. "Convergence in fiscal pressure across EU countries," Applied Economics Letters, Taylor & Francis Journals, vol. 7(2), pages 117-123.
    13. Pei-Chien Lin & Ho-Chuan Huang, 2012. "Convergence in income inequality? evidence from panel unit root tests with structural breaks," Empirical Economics, Springer, vol. 43(1), pages 153-174, August.
    14. Cheong, Tsun Se & Wu, Yanrui, 2018. "Convergence and transitional dynamics of China's industrial output: A county-level study using a new framework of distribution dynamics analysis," China Economic Review, Elsevier, vol. 48(C), pages 125-138.
    15. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    16. Cunado, J. & Perez de Gracia, F., 2006. "Real convergence in Africa in the second-half of the 20th century," Journal of Economics and Business, Elsevier, vol. 58(2), pages 153-167.
    17. Le Pen, Yannick, 2011. "A pair-wise approach to output convergence between European regions," Economic Modelling, Elsevier, vol. 28(3), pages 955-964, May.
    18. Elena Villar-Rubio & Mar?a Dolores Huete Morales, 2016. "Energy, transport, pollution and natural resources: Key elements in ecological taxation," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2016(1), pages 111-122.
    19. Maria Jesus Herrerias & Vicente Orts, 2011. "The driving forces behind China’s growth," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 19(1), pages 79-124, January.
    20. Lee Kian Lim & Michael McAleer, 2004. "Convergence and catching up in ASEAN: a comparative analysis," Applied Economics, Taylor & Francis Journals, vol. 36(2), pages 137-153.

    More about this item

    Keywords

    catching-up; nonlinear trend; real income; Russian regions;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    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:spr:rrorus:v:13:y:2023:i:1:d:10.1134_s207997052360004x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.