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Innovation indicators and regional growth in Russia

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Abstract

This paper presents methodology and results of empirical analysis of a relationship of between innovation indicators (as reflected in the innovation indicators statistics) and regional growth in Russia. The integrated econometric approach developed by the authors allows for elicitation of factors that govern innovation activities for all Russian regions via factor and regression analyses. The approach can be adapted to any territory that is sub-divided into administrative regions. The composition of the elicited factors demonstrates that innovation activities that take place in the majority of Russian regions are in accordance with the priorities of the government ‘Strategy for Development of Science and Innovation in Russia until the Year 2015’. For a full sample of eighty regions among the input innovation indicators, expenditure on technological innovation has the greatest significant positive impact on economic growth in these regions. Diffusion of knowledge via spillovers between regions stimulates growth in a reduced sample for regions that exclude both innovation leaders and laggers. The study also demonstrates that quality of the institutions affects the level of economic activity, that is, regions with higher levels of institutional capacity produced more (as indicated by greater GRP).

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Notes

  1. For a comprehensive analysis of R&D expenditures and its effects on sales and innovation activities in high-tech and low-tech sectors please see (Becker and Hall 2013).

  2. For example in Novosibirsk region from 2011 to 2014 on average 62 % of expenditures on technological innovation were made by firms, 22 % were made from the federal and regional budgets, and 16 % were made from other sources (Nauka i innovatsii 2010).

  3. The members are: Republic of Mordovia, Republic of Tatarstan, Irkutsk region, Kaluga region, Krasnoyarsk Krai, Perm Krai, Novosibirk region, Tomsk region, Republic of Bashkortostan, Samara region, Ulyanovsk region, Lipetsk region, Altai Krai, Tyumen region.

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Acknowledgments

The paper was prepared under the framework of the Project II.2P/XI.179-2 ‘Theoretical and applied aspects of knowledge spillovers: social and mathematical modeling’ of the Presidium of the Russian Academy of Sciences Program No. 27 ‘Social and mathematical modeling of modes to enhance efficiency of scientific research and quality of education’. The authors would like to thank Bill Katinas and the anonymous reviewers for their helpful and constructive comments.

Funding

The work was funded by the Presidium of the Siberian Branch of the Russian Academy of Sciences (program number 27), Project II.2P/XI.179-2 ‘Theoretical and applied aspects of knowledge spillovers: social and mathematical modeling’.

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Authors and Affiliations

  1. Department of Regional and Municipal Governance, Institute of Economics and Industrial Engineering, 17 Lavrentieva Prospekt, Novosibirsk, Russia

    Maria Kaneva & Galina Untura

  2. Department of Economics, Novosibirsk State University, 2 Pirogova Street, Novosibirsk, Russia

    Galina Untura

Authors
  1. Maria Kaneva
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  2. Galina Untura
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Correspondence to Maria Kaneva.

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Kaneva, M., Untura, G. Innovation indicators and regional growth in Russia. Econ Change Restruct 50, 133–159 (2017). https://doi.org/10.1007/s10644-016-9184-z

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