IDEAS home Printed from https://ideas.repec.org/a/url/upravl/v11y2020i1p57-69.html
   My bibliography  Save this article

Managing innovation activity factors in Russian regions through econometric modeling

Author

Listed:
  • Oleg S. Mariev

    (Ural Federal University named after the First President of Russia B.N. Yeltsin, Institute of Economics of the Ural Branch of the RAS, Ekaterinburg, Russia)

  • Karina M. Nagieva

    (Ural Federal University named after the First President of Russia B.N. Yeltsin, Ekaterinburg, Russia)

  • Viktoria L. Simonova

    (Ural State University of Economic, Ural Federal University named after the First President of Russia B.N. Yeltsin, Ekaterinburg, Russia)

Abstract

The paper aims to identify the main innovation activity factors in the Russian regions using econometric analysis. Assessment of the current state of the innovation environment in the Russian Federation reveals that there is a number of problems impeding innovation growth, which affects the country’s position in international rankings. The methodological basis of the research includes the theoretical principles of innovation economics, innovation management and regional development. There is a plethora of approaches to modeling the factors of innovative development of countries and regions, as well as to measuring innovation. In the article, we analyze patent activity in Russia’s regions and stimulating factors. The information base includes Rosstat panel data for 1999–2015 in 77 subjects of the Russian Federation. To optimize the set of variables of the econometric model, the authors apply a genetic algorithm. We find that factors reflecting human capital, financial performance of enterprises, market competition, ownership and general macroeconomic indicators of regions affect the indicators of patent activity. The research results can be used to formulate recommendations for improving regional innovation policy. In particular, it is reasonable to encourage the management and research staff of organizations to design and introduce innovations, develop venture business, promote active interaction of business with universities and research institutes, as well as strengthen international cooperation.

Suggested Citation

  • Oleg S. Mariev & Karina M. Nagieva & Viktoria L. Simonova, 2020. "Managing innovation activity factors in Russian regions through econometric modeling," Upravlenets, Ural State University of Economics, vol. 11(1), pages 57-69, March.
    • Handle: RePEc:url:upravl:v:11:y:2020:i:1:p:57-69
    DOI: 10.29141/2218-5003-2019-11-1-6
    as

    Download full text from publisher

    File URL: http://upravlenets.usue.ru/images/83/6.pdf
    Download Restriction: no
    File URL: http://upravlenets.usue.ru/ru/-2020/602
    Download Restriction: no

    References listed on IDEAS

    as
    1. Irina Dezhina, 2013. "Technology platforms and innovation clusters: together or separately?," Research Paper Series, Gaidar Institute for Economic Policy, issue 164P, pages 120-120.
    2. Jaewoon Koo & Kyunghee Maeng, 2006. "Foreign ownership and investment: evidence from Korea," Applied Economics, Taylor & Francis Journals, vol. 38(20), pages 2405-2414.
    3. Eugenio J. Miravete & José C. Pernías, 2006. "Innovation Complementarity And Scale Of Production," Journal of Industrial Economics, Wiley Blackwell, vol. 54(1), pages 1-29, March.
    4. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
    5. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    6. Riccardo Crescenzi & Alexander Jaax, 2017. "Innovation in Russia: The Territorial Dimension," Economic Geography, Taylor & Francis Journals, vol. 93(1), pages 66-88, January.
    7. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    8. Bang Nam Jeon & Kyeong Seok Han & Myung Jin Lee, 2006. "Determining factors for the adoption of e-business: the case of SMEs in Korea," Applied Economics, Taylor & Francis Journals, vol. 38(16), pages 1905-1916.
    9. Abiodun Egbetokun & Ivan Savin, 2014. "Absorptive capacity and innovation: when is it better to cooperate?," Journal of Evolutionary Economics, Springer, vol. 24(2), pages 399-420, April.
    10. Giulio Cainelli & Rinaldo Evangelista & Maria Savona, 2006. "Innovation and economic performance in services: a firm-level analysis," Cambridge Journal of Economics, Oxford University Press, vol. 30(3), pages 435-458, May.
    11. Verspagen, Bert & Schoenmakers, Wilfred, 2000. "The Spatial Dimension of Knowledge Spillovers in Europe: Evidence from Firm Patenting Data," Research Memorandum 016, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    12. Savin Ivan, 2013. "A Comparative Study of the Lasso-type and Heuristic Model Selection Methods," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(4), pages 526-549, August.
    13. Antonio Della Malva & Francesco Lissoni & Patrick Llerena, 2013. "Institutional change and academic patenting: French universities and the Innovation Act of 1999," Journal of Evolutionary Economics, Springer, vol. 23(1), pages 211-239, January.
    14. Lumenga-Neso, Olivier & Olarreaga, Marcelo & Schiff, Maurice, 2001. "On"indirect"trade-related research and development spillovers," Policy Research Working Paper Series 2580, The World Bank.
    15. Mark Funk, 2006. "Business cycles and research investment," Applied Economics, Taylor & Francis Journals, vol. 38(15), pages 1775-1782.
    16. d’Andria, D. & Savin, I., 2018. "A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 38-56.
    17. Keller, Wolfgang, 2001. "The Geography and Channels of Diffusion at the World's Technology Frontier," Discussion Paper Series 26140, Hamburg Institute of International Economics.
    18. Oleg Mariyev & Ivan Savin, 2010. "Factors of innovative activity in Russian regions: modeling and empirical analysis," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 235-244.
    19. Pradhan, Jaya Prakash, 2003. "Liberalization, Firm Size and R&D performance: A Firm Level Study of Indian Pharmaceutical Industry," MPRA Paper 17079, University Library of Munich, Germany.
    20. Philippe Aghion & Wendy Carlin & Mark Schaffer, 2002. "Competition, Innovation and Growth in Transition: Exploring the Interactions between Policies," William Davidson Institute Working Papers Series 501, William Davidson Institute at the University of Michigan.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ivan Savin & Peter Winker, 2012. "Heuristic Optimization Methods for Dynamic Panel Data Model Selection: Application on the Russian Innovative Performance," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 337-363, April.
    2. Keith Head & Yao Amber Li & Asier Minondo, 2019. "Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 713-727, October.
    3. Moaniba, Igam M. & Su, Hsin-Ning & Lee, Pei-Chun, 2019. "On the drivers of innovation: Does the co-evolution of technological diversification and international collaboration matter?," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    4. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2018. "Internationalisation, innovation and productivity in services: evidence from Germany, Ireland and the United Kingdom," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(3), pages 585-615, August.
    5. Yingkai Tang & Yaozhi Chen & Kun Wang & He Xu & Xiaoqi Yi, 2020. "An Analysis on the Spatial Effect of Absorptive Capacity on Regional Innovation Ability Based on Empirical Research in China," Sustainability, MDPI, Open Access Journal, vol. 12(7), pages 1-1, April.
    6. Bergé, Laurent & Carayol, Nicolas & Roux, Pascale, 2018. "How do inventor networks affect urban invention?," Regional Science and Urban Economics, Elsevier, vol. 71(C), pages 137-162.
    7. Hamidi, Shima & Zandiatashbar, Ahoura & Bonakdar, Ahmad, 2019. "The relationship between regional compactness and regional innovation capacity (RIC): Empirical evidence from a national study," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 394-402.
    8. Richard Kneller, 2005. "Frontier Technology, Absorptive Capacity and Distance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 1-23, February.
    9. MURATA, Yasusada & NAKAJIMA, Ryo & TAMURA, Ryuichi, 2016. "Testing for localization: A new approach," IIR Working Paper 16-11, Institute of Innovation Research, Hitotsubashi University.
    10. Hu, Albert G. Z. & Jaffe, Adam B., 2003. "Patent citations and international knowledge flow: the cases of Korea and Taiwan," International Journal of Industrial Organization, Elsevier, vol. 21(6), pages 849-880, June.
    11. Iritié, B. G. Jean Jacques, 2016. "Economic issues of innovation clusters-based industrial policy : a critical overview," EconStor Preprints 142746, ZBW - Leibniz Information Centre for Economics.
    12. John A. Cantwell & Lucia Piscitello, 2003. "The Recent Location of Foreign R&D Activities by Large MNCs in the European Regions. The Role of Different Sources of Spillovers," ERSA conference papers ersa03p322, European Regional Science Association.
    13. Winters, John V., 2014. "Foreign and Native-Born STEM Graduates and Innovation Intensity in the United States," IZA Discussion Papers 8575, Institute of Labor Economics (IZA).
    14. Carol Robbins, 2006. "The Impact of Gravity-Weighted Knowledge Spillovers on Productivity in Manufacturing," The Journal of Technology Transfer, Springer, vol. 31(1), pages 45-60, January.
    15. Buzard, Kristy & Carlino, Gerald A. & Hunt, Robert M. & Carr, Jake K. & Smith, Tony E., 2020. "Localized knowledge spillovers: Evidence from the spatial clustering of R&D labs and patent citations," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    16. C. Gay & C. Le Bas, 2005. "Uses without too many abuses of patent citations or the simple economics of patent citations as a measure of value and flows of knowledge," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 333-338.
    17. Kesidou, Effie & Romijn, Henny, 2008. "Do Local Knowledge Spillovers Matter for Development? An Empirical Study of Uruguay's Software Cluster," World Development, Elsevier, vol. 36(10), pages 2004-2028, October.
    18. Dong, Xiaofang & Zheng, Siqi & Kahn, Matthew E., 2020. "The role of transportation speed in facilitating high skilled teamwork across cities," Journal of Urban Economics, Elsevier, vol. 115(C).
    19. repec:elg:eechap:14395_24 is not listed on IDEAS
    20. MacGarvie, Megan, 2005. "The determinants of international knowledge diffusion as measured by patent citations," Economics Letters, Elsevier, vol. 87(1), pages 121-126, April.
    21. Maarten Cornet & Marieke Rensman, 2001. "The location of R&D in the Netherlands: trends, determinants and policy," CPB Document 14.rdf, CPB Netherlands Bureau for Economic Policy Analysis.

    More about this item

    Keywords

    management; innovation; innovation activity; genetic algorithm; econometric model; Russian regions.;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:url:upravl:v:11:y:2020:i:1:p:57-69. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Victor Blaginin). General contact details of provider: http://edirc.repec.org/data/usueeru.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.