IDEAS home Printed from https://ideas.repec.org/a/spr/rrorus/v6y2016i2d10.1134_s2079970516020040.html
   My bibliography  Save this article

Assessment of Russian regions by level of innovative development

Author

Listed:
  • S. R. Khalimova

    (Russian Academy of Sciences)

Abstract

Innovation activity of Russian regions is considered in two aspects, i.e., creation of innovations and use of innovations. A methodology for assessing the regional level of innovative development is presented. In order to identify the regions’ specialization in different aspects of innovation activity, we constructed two indices of innovative development, i.e., the index of innovation creation and the index of innovation use. Each region receives a numerical estimate for its level of innovative development. Regions are ranked based on these values and assessed as developed or backward. We analyze regions appearing to be leaders in innovative development and assess the stability of their group and leadership position. It is shown that innovations are created in the same leading regions, the number of which (19 regions) remains almost the same over the entire considered period, but they are used in 41 regions, the set of which changes from year to year. Ranking of regions makes it possible to compare innovation levels and to determine strengths and weaknesses of particular innovation systems, which can be taken into account in designing state innovation policy.

Suggested Citation

  • S. R. Khalimova, 2016. "Assessment of Russian regions by level of innovative development," Regional Research of Russia, Springer, vol. 6(2), pages 115-124, April.
  • Handle: RePEc:spr:rrorus:v:6:y:2016:i:2:d:10.1134_s2079970516020040
    DOI: 10.1134/S2079970516020040
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S2079970516020040
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1134/S2079970516020040?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu. A. Fridman & G. N. Rechko & A. G. Pimonov, 2017. "Competitive positions of a region in innovative economic development," Regional Research of Russia, Springer, vol. 7(4), pages 333-341, October.
    2. A. E. Sevastyanova, 2017. "Creating the conditions for innovation development of resource-based regions," Regional Research of Russia, Springer, vol. 7(1), pages 1-9, January.
    3. E. E. Kolchinskaya & L. E. Limonov & E. S. Stepanova, 2022. "Does Working in a Cluster Provide Higher Productivity to Industrial Enterprises in Russia?," Regional Research of Russia, Springer, vol. 12(2), pages 204-214, June.

    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. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2019. "Debunking the granular origins of aggregate fluctuations: from real business cycles back to Keynes," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 67-90, March.
    2. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017. "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 117-140.
    3. Patrick Mellacher, 2021. "Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model," Papers 2111.09407, arXiv.org, revised Nov 2023.
    4. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    5. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    6. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    7. Roos, Michael W. M., 2015. "The macroeconomics of radical uncertainty," Ruhr Economic Papers 592, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Chen, Shu-Heng & Chang, Chia-Ling & Wen, Ming-Chang, 2014. "Social networks and macroeconomic stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-40.
    9. repec:hal:spmain:info:hdl:2441/5bnglqth5987gaq6dhju3psjn3 is not listed on IDEAS
    10. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," Working Papers hal-03443464, HAL.
    11. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "The Effects of Labour Market Reforms upon Unemployment and Income Inequalities: an Agent Based Model," Working Papers hal-03459264, HAL.
    12. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," SciencePo Working papers Main hal-03399574, HAL.
    13. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up," Working Papers hal-03242369, HAL.
    14. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2016. "How Inflation Affects Macroeconomic Performance: An Agent-Based Computational Investigation," Macroeconomic Dynamics, Cambridge University Press, vol. 20(2), pages 558-581, March.
    15. Jun, Bogang & Kim, Tai-Yoo, 2015. "A neo-Schumpeterian perspective on the analytical macroeconomic framework: The expanded reproduction system," Hohenheim Discussion Papers in Business, Economics and Social Sciences 11-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    16. Cristiano CODAGNONE & Giovanni LIVA & Egidijus BARCEVICIUS & Gianluca MISURACA & Luka KLIMAVICIUTE & Michele BENEDETTI & Irene VANINI & Giancarlo VECCHI & Emily RYEN GLOINSON & Katherine STEWART & Sti, 2020. "Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies," JRC Research Reports JRC120865, Joint Research Centre.
    17. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    18. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
    19. Fierro, Luca Eduardo & Giri, Federico & Russo, Alberto, 2023. "Inequality-constrained monetary policy in a financialized economy," Journal of Economic Behavior & Organization, Elsevier, vol. 216(C), pages 366-385.
    20. Sarah Wolf & Steffen Fürst & Antoine Mandel & Wiebke Lass & Daniel Lincke & Federico Pablo-Marti & Carlo Jaeger, 2013. "A multi-agent model of several economic regions," PSE - Labex "OSE-Ouvrir la Science Economique" halshs-00825217, HAL.
    21. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2021. "Public policies and the art of catching up: matching the historical evidence with a multicountry agent-based model [Catching up, forging ahead, and falling behind]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(4), pages 1011-1036.

    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:spr:rrorus:v:6:y:2016:i:2:d:10.1134_s2079970516020040. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.