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Dynamics of Russian regional clubs: The time of divergence

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  • Frederic Carluer

Abstract

Carluer F. (2005) The dynamics of Russian regional clubs: the time of divergence. Regional Studies 39 , 713-726. This paper examines the evolution of Russian regional disparities in the light of the theory of convergence clubs. The first part presents the limits of the methodology traditionally used in most studies of the convergence process. For example, the choice of indicators (usually per-capita income or labour productivity) and the statistical test applied (beta- or sigma-convergence) strongly influence the results obtained, sometimes adversely. Then, following the works of Quah and Fingleton, the superiority of an analysis of distribution dynamics, especially one based on Markov chains, is explained. The second part presents the main results based on the per-capita regional income of the Russian database (88 regions) over a fairly long period (1985-99). The key conclusion is the strong diversity of regional evolutions, which are characterized by both inertia (rich regions remain rich, poor regions remain poor) and mobility (some rich regions become poor and vice versa). The value of an analysis of downward mobility relative to upward mobility (34 regions to 11), as well as of economic geography through specific spatial dynamics, are demonstrated. A clear bimodality (implosion of the two intermediate clubs) emerges, which confirms the present stratification process. In other words, Russia is emerging as a multipolarized economy.

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  • Frederic Carluer, 2005. "Dynamics of Russian regional clubs: The time of divergence," Regional Studies, Taylor & Francis Journals, vol. 39(6), pages 713-726.
    • Handle: RePEc:taf:regstd:v:39:y:2005:i:6:p:713-726
    DOI: 10.1080/00343400500213564
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    1. Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
    2. A. N. Bufetova, 2017. "Trends in the concentration of economic activity and disparities in Russia’s spatial development," Regional Research of Russia, Springer, vol. 7(2), pages 120-126, April.
    3. Aleh Mazol, 2016. "Spatial wage inequality in Belarus," BEROC Working Paper Series 35, Belarusian Economic Research and Outreach Center (BEROC).
    4. Pavel I. Blus & Rustam V. Plotnikov, 2022. "Spatial clustering for reducing intraregional unevenness," Journal of New Economy, Ural State University of Economics, vol. 23(1), pages 88-108, April.
    5. Heru Wibowo, 2012. "Understanding intra-household expenditure distribution in Indonesia," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 4(2), pages 97-114, April.
    6. Konstantin Gluschenko, 2010. "Methodologies of Analyzing Inter-Regional Income Inequality and Their Applications to Russia," William Davidson Institute Working Papers Series wp984, William Davidson Institute at the University of Michigan.
    7. K.P. Gluschenko (glu@nsu.ru ), 2010. "Income inequality in Russian regions: comparative analysis," Journal "Region: Economics and Sociology", Institute of Economics and Industrial Engineering of Siberian Branch of RAS, vol. 4.
    8. Alexander S. Skorobogatov, 2016. "Spatial Equilibrium Approach to the Analysis of Income Differentials Across Russian Cities," HSE Working papers WP BRP 149/EC/2016, National Research University Higher School of Economics.
    9. Vera Ivanova, 2015. "How Space Channels Wage Convergence: The Case of Russian Cities," HSE Working papers WP BRP 120/EC/2015, National Research University Higher School of Economics.
    10. Murat G. Kırdar & D. Şirin Saracoğlu, 2008. "Migration and regional convergence: An empirical investigation for Turkey," Papers in Regional Science, Wiley Blackwell, vol. 87(4), pages 545-566, November.
    11. Vera Ivanova, 2015. "The well-being of Russian cities: does location matter?," ERSA conference papers ersa15p956, European Regional Science Association.
    12. Sergei Guriev & Elena Vakulenko, 2012. "Convergence between Russian regions," Working Papers w0180, Center for Economic and Financial Research (CEFIR).
    13. Qiang Du & Min Wu & Yadan Xu & Xinran Lu & Libiao Bai & Ming Yu, 2018. "Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(2), pages 519-536, November.
    14. A. N. Bufetova, 2020. "Study of Spatial Effects in the Regional Labor Productivity Dynamics," Regional Research of Russia, Springer, vol. 10(2), pages 127-134, April.
    15. Vera Ivanova, 2018. "Spatial convergence of real wages in Russian cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 1-30, July.
    16. Oleg Badunenko & Kiril Tochkov, 2010. "Soaring dragons, roaring tigers, growling bears," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 18(3), pages 539-570, July.
    17. Anna Bufetova, 2016. "Trends toward the concentration of economic activity and uneven spatial development of Russia," ERSA conference papers ersa16p104, European Regional Science Association.
    18. E. V. Antonov, 2018. "Demographic and Economic Asymmetry of Urban Development in the Urals, Siberia, and the Far East in 1991–2014," Regional Research of Russia, Springer, vol. 8(1), pages 16-33, January.

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    More about this item

    Keywords

    Growth empirics; Convergence clubs; Regional disparities; Stratification; Bimodality; Dynamique spatio-economique; Clubs de convergence; Disparites regionales; Stratification; Bimodalite; Wachstumsempirik; Konvergenzklubs; Regionale Ungleichheiten; Stratifizierung; Doppelmodalitat; Datos empiricos sobre el crecimiento; Clubes de convergencia; Disparidades regionales; Estratificacion; Modalidad binaria; JEL classifications: F14; L6; O30;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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