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Regional Convergence of Income: Spatial Analysis

Author

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  • Vera Ivanovna Ivanova

    (Center for Market Studies and Spatial Economics, National Research University Higher School of Economics)

Abstract

Russia has a huge territory and a strong interregional heterogeneity, so we can assume that geographical factors have a significant impact on the pace of economic growth in Russian regions. Therefore the article is focused on the following issues: 1) correlation between comparative advantages of geographical location and differences in growth rates; 2) impact of more developed regions on their neighbors and 3) correlation between economic growth of regions and their spatial interaction. The article is devoted to the empirical analysis of regional per capita incomes from 1996 to 2012 and explores the dynamics of the spatial autocorrelation of regional development indicator. It is shown that there is a problem of measuring the intensity of spatial dependence: factor value of Moran’s index varies greatly depending on the choice of the matrix of distances. In addition, with the help of spatial econometrics the author tests the following hypotheses: 1) there is convergence between regions for a specified period; 2) the process of beta convergence is explained by the spatial arrangement of regions and 3) there is positive impact of market size on regional growth. The author empirically confirmed all three hypotheses.

Suggested Citation

  • 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.
    • Handle: RePEc:far:spaeco:y:2014:i:4:p:100-119
    DOI: 10.14530/se.2014.4.100-119
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    Citations

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    Cited by:

    1. Kirillov, Andrew, 2021. "A study on spatial autocorrelation: Case of Russian regional inflation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 5-22.
    2. 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.
    3. Alexander, Myasnikov, 2016. "Совокупная Факторная Производительность В Российских Регионах В 2000–2014 Гг [Total factor productivity in Russian regions in 2000-2014]," MPRA Paper 87092, University Library of Munich, Germany.
    4. Olga Demidova & Elizat Kamalova, 2021. "Spatial Econometric Modeling of Economic Growth in Russian Regions: Do Institutions Matter? [Пространственно-Эконометрическое Моделирование Экономического Роста Российских Регионов: Имеют Ли Значен," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 2, pages 34-59, April.
    5. K. P. Gluschenko, 2023. "Regional Inequality in Russia: Anatomy of Convergence," Regional Research of Russia, Springer, vol. 13(1), pages 1-12, December.
    6. Belova T.A. & Prudnikov V.B. & Abzalilova L.R. & Bakhitova R.Kh., 2019. "Convergence of Economic Growth in Russian Megacities," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(Special 2), pages 221-233.
    7. Alexander Myasnikov, 2018. "Analysis of the Determinants of Total Factor Productivity in Russian Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1168-1180.
    8. Demidova, Olga, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.

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