首页|Regional convergence in Russia: Estimating an augmented Solow model

Regional convergence in Russia: Estimating an augmented Solow model

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  • NETL
  • NSTL
  • Elsevier
This paper studies convergence in per capita gross regional products across Russian regions in the period from 1996 to 2017. By applying the system GMM technique we estimate growth equations that are directly derived from the classic Solow model, augmented with human capital and migration and considering possible spatial effects. Our main estimates establish a convergence rate of around 2% per year. While interregional migration and interdependencies of the growth of Russian regions contribute to the convergence process, the role of human capital is ambiguous: when we employ system GMM we do not find any significant impact of human capital on regional growth no matter how we measure human capital, while pooled OLS estimates establish a positive contribution.

ConvergenceEconomic growthRegional economicsMigrationRussia

Aleksey Oshchepkov、Hartmut Lehmann、Maria Giulia Silvagni

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School of Business & Economics, Free University of Berlin, Germany||Centre for Labour Market Studies, HSE University, Moscow, Russia

Leibniz Institute for East and Southeast European Studies and University of Regensburg||IZA Institute for Labor Economics, Research Fellow, Bonn, Germany

University of Bologna, Italy

2023

10.1016/j.ecosys.2023.101128

Economic systems

Economic systems

ISSN：0939-3625
年,卷(期)：2023.47(4)
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