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The Role of Centrality in Explaining Multifactor Productivity of Russian Regions

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  • K. V. Rostislav

    (Russian Presidential Academy of National Economy and Public Administration)

Abstract

— The article assesses the relationship between multifactor productivity (MFP) as the most important source of sustainable economic development and the various conditions that can explain it. The method for estimating productivity in this study takes into account that income is created using not only live labor, but also capital stock. In contrast to previous articles, this study uses a multifactor productivity index that satisfies the transitivity criterion, which allows geographic comparisons. A new measure of centrality is presented to assess the benefits of a region’s location, which reflects the network nature of territorial relations and makes it possible to take into account not only point, but also area objects. With this new measure, it is shown that the place of a region in the settlement system and road network explains better than other conditions the difference between its MFP from MFP of other regions/federal subjects in 2010–2016. It follows from the estimated model that the different properties of the labor force described by the concept of human capital and the institutional environment are significantly more weakly associated with the observed MFP of regions. To demonstrate the superiority of the economic–geographic approach to explaining MFP, machine learning methods relatively new to economic geography are used.

Suggested Citation

  • K. V. Rostislav, 2021. "The Role of Centrality in Explaining Multifactor Productivity of Russian Regions," Regional Research of Russia, Springer, vol. 11(2), pages 165-173, April.
    • Handle: RePEc:spr:rrorus:v:11:y:2021:i:2:d:10.1134_s2079970521020131
    DOI: 10.1134/S2079970521020131
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    References listed on IDEAS

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    3. 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.
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