Regional Convergence in Russia: Estimating a Neoclassical Growth Model

Hartmut Lehmann (), Aleksey Oshchepkov and Maria Giulia Silvagni ()
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Maria Giulia Silvagni: University of Bologna

No 13039, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: In this paper, we study convergence in per capita gross regional products across Russian regions in the period from 1996 to 2017. To this purpose, we estimate growth equations, which are directly derived from a neoclassical growth model, augmented with human capital and migration. To our knowledge, this is the first paper that explicitly applies a neoclassical model to analyze the regional convergence process in the Russian case. We also take into account possible spatial effects and do a series of other robustness checks. Our main estimates establish a convergence rate of around 2% per year. While we fail to find any role of human capital for regional economic growth, we find that interregional migration and interdependencies of the growth experience of Russian regions contribute to economic convergence between them.

Keywords: convergence; economic growth; regional economics; migration; Russia (search for similar items in EconPapers)
JEL-codes: O47 P2 R11 (search for similar items in EconPapers)
Pages: 43 pages
Date: 2020-03
New Economics Papers: this item is included in nep-cis, nep-geo, nep-gro, nep-tra and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Published - revised version published as 'Regional Convergence in Russia: Estimating an Augmented Solow Model' in: Economic Systems, 2023, 47 (4), 101128

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Related works:
Working Paper: REGIONAL CONVERGENCE IN RUSSIA: ESTIMATING A NEOCLASSICAL GROWTH MODEL (2020)
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