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The impact of R&D and knowledge spillovers on the economic growth of russian regions

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  • Maria Kaneva
  • Galina Untura
Abstract
Russia presents an interesting case of a country which has strived to implement innovation policies since the transition period but so far has achieved mixed results. This study aims to analyze the impact of knowledge production and knowledge spillovers on regional growth in Russia within a framework of endogenous growth models. Applying GMM and spatial error panel modeling techniques to Rosstat data for 80 Russian regions from 2005 to 2013, the authors test the hypothesis about the relevance of R&D and expenditure on technological innovations (H1) and the hypothesis about the relevance of knowledge spillovers (H2) on the growth rates of GRP per capita. Hypothesis 1 was confirmed while Hypothesis 2 was rejected, indicating the absorptive capacities of innovatively lagging regions were not high enough for effective adaptation of new technologies from technologically innovative regions. Inclusion of indicators related to additional channels of knowledge diffusion in regressions resulted in the relevance of FDI and imports of goods and services for regional growth. Results of the study could form the basis for developing innovation policies for the Russian regions.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:growch:v:50:y:2019:i:1:p:301-334
    DOI: 10.1111/grow.12281
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    Cited by:

    1. Zemtsov, S., 2021. "New technologies and regional development in the modern period," Journal of the New Economic Association, New Economic Association, vol. 51(3), pages 196-207.
    2. M. A. Kaneva, 2023. "Determinants of Economic Growth in Regions with Different COVID-19 Incidence Rates," Regional Research of Russia, Springer, vol. 13(2), pages 296-304, June.
    3. Hartmut Lehmann & Aleksey Oshchepkov & Maria Giulia Silvagni, 2020. "Regional Convergence In Russia: Estimating A Neoclassical Growth Model," HSE Working papers WP BRP 232/EC/2020, National Research University Higher School of Economics.
    4. M. A. Kaneva, 2021. "Health Capital Estimates for Russian Regions in 2004–2018," Regional Research of Russia, Springer, vol. 11(4), pages 524-532, October.
    5. Yu, Haijing & Devece, Caarlos & Martinez, José Manuel Guaita & Xu, Bing, 2021. "An analysis of the paradox in R&D. Insight from a new spatial heterogeneity model," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    6. Zefeng Mi & Yongmin Shang & Gang Zeng, 2022. "The impact of knowledge base on technological innovation of emerging industries from the perspective of related variety: A case study of China’s fuel cell industry," Growth and Change, Wiley Blackwell, vol. 53(1), pages 57-75, March.
    7. 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.
    8. Venera Timiryanova & Dina Krasnoselskaya & Irina Lakman & Denis Popov, 2021. "Inter- and Intra-Regional Disparities in Russia: Factors of Uneven Economic Growth," Sustainability, MDPI, vol. 13(24), pages 1-31, December.
    9. Oshchepkov, Aleksey & Lehmann, Hartmut & Silvagni, Maria Giulia, 2023. "Regional convergence in Russia: Estimating an augmented Solow model," Economic Systems, Elsevier, vol. 47(4).
    10. Svetlana Zenchenko & Wadim Strielkowski & Luboš Smutka & Tomáš Vacek & Yana Radyukova & Vladislav Sutyagin, 2022. "Monetization of the Economies as a Priority of the New Monetary Policy in the Face of Economic Sanctions," JRFM, MDPI, vol. 15(3), pages 1-18, March.

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