IDEAS home Printed from https://ideas.repec.org/a/spr/rrorus/v13y2023i3d10.1134_s2079970523700909.html
   My bibliography  Save this article

The Knowledge Economy and Digitalization: Assessing the Impact on Economic Growth of Russian Regions

Author

Listed:
  • G. A. Untura

    (Institute of Economics and Industrial Engineering, Siberian Branch, Russian Academy of Sciences
    Novosibirsk National Research State University)

Abstract

— In the knowledge economy, information and communication technologies (ICT) have accelerated the digitalization of organizations, households, and management, which leads to the economic growth of countries and regions. Russia lags behind developed countries in investing in knowledge economy sectors and in the share of these sectors in GDP. Although ICT has been assigned a decisive role in the digitalization of regions, the digital divide and fragmentation of the knowledge economy at the mesolevel are holding back growth. The objective of the study is to assess how the economic growth of regions is impacted by the spending of developing the knowledge economy, including the ICT sector, and indices of digitalization of households and organizations. An econometric model of endogenous growth has been proposed and tested on the data from Rosstat and the HSE University. Indices of digitalization of households and organizations for 2017 were compiled for 80 regions. In the index of digitalization of households, the first five positions were occupied by Moscow oblast, the Republic of Tatarstan, Tyumen oblast, Moscow, and St. Petersburg; in the index of digitalization of organizations, Moscow, St. Petersburg, Leningrad oblast, Stavropol krai, and Tambov oblast; at the same time, many regions of Asian Russia and the North Caucasus lagged significantly behind. The hypothesis that ICT spending leads to an increase in GRP per capita growth rate by 1 percentage point and is complementary to the spillover of spending on higher education has been confirmed. Digitalization indices have positive but statistically insignificant regression coefficients. Spending on other sectors of the knowledge economy—science, higher education, and healthcare, which form human capital—were unable to significantly affect economic growth of regions in 2017, perhaps due to underfunding of their development (versus developed countries). The article concludes that in order to ensure the economic growth of Russian regions in the context of digital transformation, systemic actions are needed in managing all sectors of the knowledge economy and knowledge spillovers, a breakthrough in domestic science and ICT. The results obtained in the study can be useful in managing the knowledge economy in the context of digital transformation of Russian regions.

Suggested Citation

  • G. A. Untura, 2023. "The Knowledge Economy and Digitalization: Assessing the Impact on Economic Growth of Russian Regions," Regional Research of Russia, Springer, vol. 13(3), pages 397-406, September.
    • Handle: RePEc:spr:rrorus:v:13:y:2023:i:3:d:10.1134_s2079970523700909
    DOI: 10.1134/S2079970523700909
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S2079970523700909
    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/S2079970523700909?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. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Luigi Aldieri & Maxim Nikolaevich Kotsemir & Concetto Paolo Vinci, 2018. "Knowledge spillover effects: empirical evidence from Russian regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2111-2132, September.
    3. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    4. Cooke, Philip & Gomez Uranga, Mikel & Etxebarria, Goio, 1997. "Regional innovation systems: Institutional and organisational dimensions," Research Policy, Elsevier, vol. 26(4-5), pages 475-491, December.
    5. Marrocu, Emanuela & Paci, Raffaele & Usai, Stefano, 2013. "Proximity, networking and knowledge production in Europe: What lessons for innovation policy?," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1484-1498.
    6. Margarita Billon & Fernando Lera-Lopez & Rocio Marco, 2016. "ICT use by households and firms in the EU: links and determinants from a multivariate perspective," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(4), pages 629-654, November.
    7. N. A. Kravchenko & S. R. Khalimova & A. I. Ivanova, 2021. "Regional Factors in the Development of the ICT Sector in Russia," Regional Research of Russia, Springer, vol. 11(1), pages 91-100, January.
    8. V. E. Seliverstov & N. A. Kravchenko & V. I. Klistorin & A. T. Yusupova, 2021. "Russian Regions and the Federal Center Against Global Threats: a Year Of Fighting COVID-19," Regional Research of Russia, Springer, vol. 11(4), pages 405-418, October.
    9. Maria Kaneva & Galina Untura, 2019. "The impact of R&D and knowledge spillovers on the economic growth of russian regions," Growth and Change, Wiley Blackwell, vol. 50(1), pages 301-334, March.
    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. Michael Fritsch & Viktor Slavtchev, 2007. "What determines the efficiency of regional innovation systems?," Jena Economics Research Papers 2007-006, Friedrich-Schiller-University Jena.
    2. Stefano Usai & Emanuela Marrocu & Raffaele Paci, 2017. "Networks, Proximities, and Interfirm Knowledge Exchanges," International Regional Science Review, , vol. 40(4), pages 377-404, July.
    3. Crescenzi, Riccardo & Gagliardi, Luisa, 2015. "Moving people with ideas - innovation inter-regional mobility and firm heterogeneity," LSE Research Online Documents on Economics 64509, London School of Economics and Political Science, LSE Library.
    4. Andrés Rodríguez-Pose & Marco Di Cataldo, 2015. "Quality of government and innovative performance in the regions of Europe," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 673-706.
    5. Rodríguez-Pose, Andrés & Crescenzi, Riccardo, 2012. "R&D, Socio-Economic Conditions and Regional Innovation in the United States," CEPR Discussion Papers 9265, C.E.P.R. Discussion Papers.
    6. Dongwoo Kang & Sandy Dall’erba, 2016. "Exploring the spatially varying innovation capacity of the US counties in the framework of Griliches’ knowledge production function: a mixed GWR approach," Journal of Geographical Systems, Springer, vol. 18(2), pages 125-157, April.
    7. Stepan Zemtsov & Maxim Kotsemir, 2019. "An assessment of regional innovation system efficiency in Russia: the application of the DEA approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 375-404, August.
    8. Francesco Quatraro & Stefano Usai, 2017. "Are knowledge flows all alike? Evidence from European regions," Regional Studies, Taylor & Francis Journals, vol. 51(8), pages 1246-1258, August.
    9. Grunfeld, Leo A., 2003. "Meet me halfway but don't rush: absorptive capacity and strategic R&D investment revisited," International Journal of Industrial Organization, Elsevier, vol. 21(8), pages 1091-1109, October.
    10. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    11. Marie-Ange Véganzonès-Varoudakis & Arup Mitra & Chandan Sharma, 2012. "Are Reforms Productive? Explaining Productivity and Efficiency in the Indian Manufacturing," Post-Print hal-03058727, HAL.
    12. Andrés Rodríguez-Pose & Riccardo Crescenzi, 2008. "Mountains in a flat world: why proximity still matters for the location of economic activity," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 1(3), pages 371-388.
    13. Christoph Meister & Bart Verspagen & Guntram B. Wolff, 2006. "European Productivity Gaps: Is R&D the Solution?," Chapters, in: Susanne Mundschenk & Michael H. Stierle & Ulrike Stierle-von Schütz & Iulia Traistaru-Siedschlag (ed.), Competitiveness and Growth in Europe, chapter 8, Edward Elgar Publishing.
    14. Olsson, Ola, 2001. "Why Does Technology Advance in Cycles?," Working Papers in Economics 38, University of Gothenburg, Department of Economics.
    15. Tappeiner, Gottfried & Hauser, Christoph & Walde, Janette, 2008. "Regional knowledge spillovers: Fact or artifact?," Research Policy, Elsevier, vol. 37(5), pages 861-874, June.
    16. Rosina Moreno & Ernest Miguélez, 2012. "A Relational Approach To The Geography Of Innovation: A Typology Of Regions," Journal of Economic Surveys, Wiley Blackwell, vol. 26(3), pages 492-516, July.
    17. Ernest Miguélez & Rosina Moreno, 2013. "Do Labour Mobility and Technological Collaborations Foster Geographical Knowledge Diffusion? The Case of European Regions," Growth and Change, Wiley Blackwell, vol. 44(2), pages 321-354, June.
    18. Alberto Franco Pozzolo, 2004. "Research and Development, Regional Spillovers and the Location of Economic Activities," Manchester School, University of Manchester, vol. 72(4), pages 463-482, July.
    19. Quatraro, Francesco, 2008. "Regional Knowledge Base and Productivity Growth: The Evidence of Italian Manufacturing," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200810, University of Turin.
    20. Jackie Krafft & Francesco Quatraro, 2011. "The Dynamics of Technological Knowledge: From Linearity to Recombination," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 7, Edward Elgar Publishing.

    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:13:y:2023:i:3:d:10.1134_s2079970523700909. 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.