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Regional Convergence in the Russian Federation - Spatial and Temporal Dynamics

Author

Listed:
  • Jens K. Perret

    () (European Institute for International Economic Relations at the University of Wuppertal)

Abstract

Set in the context of the neoclassical growth model this study revisits the discussion of economic convergence in the context of the Russian Federation. Compared to previous similar studies, here a larger more comprehensive data set is implemented (1994-2013) allowing in particular to check for differences in convergence during different time periods. Using a panel approach more reliable results are achieved which point to absolute convergence occurring across the regions of the Russian Federation. The stability of these results is strengthened by estimating Kernel density to test for the presence of potential groups of regions with different steady states, on the one hand, and Markov transition matrices to test for the temporal stability of the regions on the other. Finally, a quantile regression approach is used to assure overall stability of the convergence speed. All results show that Russia reports absolute convergence up to Vladimir Putin's the second term as president and occurring again during his third term in office and conditional convergence in all time periods. All results remain stable even when including spatial effects or when testing for temporal stability. Quantile regression analysis also reports a more or less stable speed of convergence across the whole time horizon which is significantly higher than comparable results for the US or the regions of the European Union.

Suggested Citation

  • Jens K. Perret, 2016. "Regional Convergence in the Russian Federation - Spatial and Temporal Dynamics," Schumpeter Discussion Papers SDP16004, Universit├Ątsbibliothek Wuppertal, University Library.
  • Handle: RePEc:bwu:schdps:sdp16004
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    More about this item

    Keywords

    Russian Federation; USA; Innovation System; Knowledge Production Function; Knowledge Generation; Quantile Regression; Regional Economics;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • P25 - Economic Systems - - Socialist Systems and Transition Economies - - - Urban, Rural, and Regional Economics
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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