A. M. Nosonov. Productive and Technological Innovation Infrastructure of the Regions of Russia

UDК 005.591.6(470+571)

DOI: https://doi.org/10.15507/2413-1407.107.027.201903.436-460

Introduction. In the modern world, socio-economic and political leadership of a country is based on the generation of new knowledge, its commercialization and use in all areas of human activity, it being an important prerequisite for improving the competitiveness of the state. To achieve this goal, individual elements of the national innovation system including the main components of the innovation infrastructure are being formed in many constituent entities of the Russian Federation.

Materials and Methods. The constituent entities of the Russian Federation are the object of the research, the qualitative and quantitative characteristics of the main components of the innovative productive and technological infrastructure being the subject of the study. A typology of Russia’s regions in terms of the development of their innovative productive and technological infrastructure was carried out. To calculate the integral index of the level of infrastructure development, linear scaling was applied; the number of different objects of productive and technological infrastructure in each region was used as the input indicator.

Results. The types of the regions of Russia have been singled out according to the level of development of the productive and technological infrastructure and their brief description has been given. One and the same type includes territories having a similar structure and level of saturation with objects of productive and technological infrastructure which is manifested indirectly in the main results of the innovation activities of the regions. It has been revealed that more than half of the regions of Russia have a low level of development of the productive and technological infrastructure, a small number of regions are characterized by a high level of infrastructure development, in other constituent entities of the Russian Federation an average level of innovation infrastructure development has been noted.

Discussion and Conclusion. The level of the innovative development of the regions of Russia largely depends on the degree of development of the productive and technological infrastructure. Further progress of the productive and technological component of the regional innovation systems is associated with the development of effective marketing mechanisms for the commercialization of innovations, with the improvement of the quality of education and its focus on the issues of innovation. The results of the research can be used by decision makers to substantiate the diversification of regional innovation systems in accordance with the priority directions of the technological development of the country.

Keywords: innovation, productive and technological infrastructure, region, technology park, diversification, commercialization

Funding. The study was carried out with the financial support from the Russian Foundation for Basic Research within the research project No. 19-05-00066.


1. Makar S.V., Nosonov A.M. Assessment and Spatial Regularities of the Innovative Activity Development in the Regions of Russia. Ehkonomika. Nalogi. Pravo = Economics, Taxes & Law. 2017; 10(4):96-106. (In Russ., abstract in Eng.) DOI: https://doi.org/10.26794/1999-849X-2017-10-4-96-106

2. Terebova S.V. Innovation Infrastructure in the Region: Problems and Directions of Development. Ekonomicheskiye i sotsialnyye peremeny: fakty, tendentsii, prognoz = Economic and Social Changes: Facts, Trends, Forecast. 2014; (6):199-212. (In Russ., abstract in Eng.) DOI: https://doi.org/10.15838/esc/2014.6.36.15

3. Barinova V.A., Maltseva A.A., Sorokina A.V., Eremkin V.A. Approaches to Assessing the Adequacy and Efficiency of the Innovation Infrastructure Facilities in Russia. Innovatsii = Innovations. 2014; (3):42-51. Available at: https://maginnov.ru/ru/zhurnal/arhiv/2014/innovacii-n3-2014/podhody-k-oc... (accessed 09.04.2019). (In Russ., abstract in Eng.)

4. Koroleva L.P. Kandrashkina M.A. Innovation Infrastructure: Essence and Tendencies of Development in the Republic of Mordovia. Sistemnoye upravleniye = System Management. 2014; (3). Available at: http://sisupr.mrsu.ru/2014-3/PDF/Koroleva_L_P_Kandraskina_M_A.pdf (accessed 09.04.2019). (In Russ., abstract in Eng.)

5. Tassey G. Modeling and Measuring the Economic Roles of Technology Infrastructure. Economics of Innovation and New Technology. 2008; 17(7-8):617-631. (In Eng.) DOI: https://doi.org/10.1080/10438590701785439

6. Torrisi G. Public Infrastructure: Definition, Classification and Measurement Issues. Munich Personal RePEc Archive. MPRA Paper № 12990, posted 25 January 2009; p. 2-34. Available at: https://mpra.ub.uni-muenchen.de/12990/1/ (accessed 09.04.2019). (In Eng.)

7. Audretsch D.B., Heger D., Veith T. Infrastructure and Entrepreneurship. Small Business Economics. 2015; 44(2):219-230. (In Eng.) DOI: https://doi.org/10.1007/s11187-014-9600-6

8. Cooke P. Biotechnology Clusters as Regional, Sectoral Innovation Systems. International Regional Science Review. 2002; 25(1):8-37. (In Eng.) DOI: https://doi.org/10.1177/016001760202500102

9. Gilbert B.A., McDougall P.P., Audretsch D.B. Clusters, Knowledge Spillovers and New Venture Performance: An Empirical Examination. Journal of Business Venturing. 2008; 23(4):405-422. (In Eng.) DOI: https://doi.org/10.1016/j.jbusvent.2007.04.003

10. Goncalves J., Peuckert J. Measuring the Impacts of Quality Infrastructure: Impact Theory, Empirics and Study Design. Braunschweig: Physikalisch-Technische Bundesanstalt; 2011. Available at: https://www.ptb.de/cms/fileadmin/internet/fach­abteilungen/abteilung_9/... (accessed 09.04.2019). (In Eng.)

11. Moreno R., Paci R., Usai S. Innovation Clusters in the European Regions. European Planning Studies. 2006; 14(9):1235-1263. (In Eng.) DOI: https://doi.org/10.1080/09654310600933330

12. Zhou Yu. The Making of an Innovative Region from a Centrally Planned Economy: Institutional Evolution in Zhongguancun Science Park in Beijing. Environment and Planning A: Economy and Space. 2005; 37(6):1113-1134. (In Eng.) DOI: https://doi.org/10.1068/a3716

13. Birudavolu S., Nag B. Regional Factors Influencing Innovation. In: Business Innovation and ICT Strategies. Singapore: Palgrave Macmillan; 2018. p. 211-238. (In Eng.) DOI: https://doi.org/10.1007/978-981-13-1675-3_8

14. Lopez-Bazo E., Motellon E. Innovation, Heterogeneous Firms and the Region: Evidence from Spain. Regional Studies. 2018; 52(5):673-687. (In Eng.) DOI: https://doi.org/10.1080/00343404.2017.1331296

15. Scranton P. Infrastructure: Reappraisal and Reorientation. In: Enterprise, Organization, and Technology in China. Palgrave Macmillan, Cham; 2019. p. 199-230. (In Eng.) DOI: https://doi.org/10.1007/978-3-030-00398-2_7

16. Hasan S., Klaiber H.A., Sheldon I. The Impact of Science Parks on Small-and Medium-Sized Enterprises Productivity Distributions: The Case of Taiwan and South Korea. Small Business Economics. 2018; p. 1-19. (In Eng.) DOI: https://doi.org/10.1007/s11187-018-0083-8

17. Romer P. M. Mathiness in the Theory of Economic Growth. American Economic Review. 2015; 105(5):89-93. (In Eng.) DOI: https://doi.org/10.1257/aer.p20151066

18. Broekel T., Brachert M., Duschl M. Joint R&D Subsidies, Related Variety, and Regional Innovation. International Regional Science Review. 2017; 40(3):297-326. (In Eng.) DOI: https://doi.org/10.1177/0160017615589007

19. Raghupathi V., Raghupathi W. Exploring Science-and-Technology-Led In­novation: A Cross-Country Study. Journal of Innovation and Entrepreneurship. 2019; 8. (In Eng.) DOI: https://doi.org/10.1186/s13731-018-0097-0

20. Massiani J., Gohs A. The Choice of Bass Model Coefficients to Forecast Diffusion for Innovative Products: An Empirical Investigation for New Automotive Technologies. Research in Transportation Economics. 2015; 50:17-28. (In Eng.) DOI: https://doi.org/10.1016/j.retrec.2015.06.003

21. Stuetzer M., Audretsch D.J., Obschonka M., Gosling S.D., Rentfrow P.J., Potte J. Entrepreneurship Culture, Knowledge Spillovers and the Growth of Regions. Regional Studies. 2018; 52(5):899-909. (In Eng.) DOI: https://doi.org/10.1080/00343404.2017.1294251

22. Caiazza R., Richardson A., Audretsch D.J. Knowledge Effects on Competitiveness: From Firms to Regional Advantage. The Journal of Technology Transfer. 2015; 40(6):899-909. (In Eng.) DOI: https://doi.org/10.1007/s10961-015-9425-8

23. Miguelez E., Moreno R. Knowledge Flows and the Absorptive Capacity of Regions. Research Policy. 2015; 44(4):833-848. (In Eng.) DOI: https://doi.org/10.1016/j.respol.2015.01.016

24. Cerver-Romero E., Ferreira J.J., Fernandes C. A Scientometric Analysis of Knowledge Spillover Research. The Journal of Technology Transfer . 2018; p. 1-26. (In Eng.) DOI: https://doi.org/10.1007/s10961-018-9698-9

25. Martin R., Florida R., Pogue M., Mellander C. Creativity, Clusters and the Competitive Advantage of Cities. Competitiveness Review. 2015; 25(5):482-496. (In Eng.) DOI: https://doi.org/10.1108/CR-07-2015-0069

26. Miguelez E., Moreno R. Relatedness, External Linkages and Regional Innovation in Europe. Regional Studies. 2018; 52(5):688-701. (In Eng.) DOI: https://doi.org/10.1080/00343404.2017.1360478

27. Scholl T., Brenner T. Detecting Spatial Clustering Using a Firm-Level Cluster Index. Regional Studies. 2016; 50(6):1054-1068. (In Eng.) DOI: https://doi.org/10.1080/00343404.2014.958456

28. The Impact Evaluation of Cluster Development Programs: Methods and Practices. In: M. Alessandro, C. Pietrobelli, R. Stucchi (eds.). Inter-American Development Bank (IADB): Washington, D.C.; 2016. Available at: https://publications.iadb.org/en/impact-evaluation-cluster-development-p... (accessed 09.04.2019). (In Eng.)

29. Sunny S.A., Shu C. Investments, Incentives, and Innovation: Geographical Clustering Dynamics as Drivers of Sustainable Entrepreneurship. Small Business Economics. 2019; 52(4):905-927. (In Eng.) DOI: https://doi.org/10.1007/s11187-017-9941-z

30. Kostyunina G.M., Baronov V.I. Technoparks in Foreign and Russian Practice. Vestnik MGIMO-Universiteta = MGIMO Review of International Relations. 2012; (3):91-99. Available at: http://vestnikold.mgimo.ru/razdely/ekonomika/tehnoparki-v-zarubezhnoy-i-... (accessed 09.04.2019). (In Russ., abstract in Eng.)

Submitted 16.04.2019; accepted for publication 18.06.2019; published online 30.09.2019.

About the author:

Arthur M. Nosonov, Professor, Department of Physical and Socio-Economic Geography, National Research Mordovia State University (68/1 Bolshevistskaya St., Saransk 430005, Russia), Dr. Sci. (Geography), ORCID: https://orcid.org/0000-0003-4719-0166, artno@mail.ru

For citation:

Nosonov A.M. Productive and Technological Innovation Infrastructure of the Regions of Russia. Regionology = Russian Journal of Regional Studies. 2019; 27(3):436-460. DOI: https://doi.org/10.15507/2413-1407.107.027.201903.436-460

The author has read and approved the final version of the manuscript.
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