View or download the article (Rus)
About the Authors
Arthur M. Nosonov
68, Bolshevistskaya str., Saransk, Republic of Mordovia, 430005, Russia,
E-mail: artno@mail.ru
Sergey A. Teslenok
16, Chekhova str., Khanty-Mansiysk, Khanty-Mansiysk Autonomous Okrug—Yugra, 628012, Russia,
National Research N.P. Ogarev Mordovia State University, Institute of Geoinformation Technologies and Geography,
68, Bolshevistskaya str., Saransk, Republic of Mordovia, 430005, Russia,
E-mail: teslserg@mail.ru
Valeria A. Chernobrovkina
68, Bolshevistskaya str., Saransk, Republic of Mordovia, 430005, Russia,
E-mail: vartno@mail.ru
Pavel S. Dmitriyev
86, Pushkin Street, Petropavlovsk, 150000, Republic of Kazakhstan,
E-mail: dmitriev_pavel@mail.ru
Abstract
The article is devoted to the use of geoinformation systems and technologies to study the territorial organization of innovative activities in the regions of Russia. The main attention is paid to the identification and analysis of spatial patterns of localization of the main components of the innovative infrastructure—innovative territorial clusters and technology parks. Such aspects of their functioning as organizational and legal status, overall quantity, quantity of participants and number of employees are considered. Significant unevenness in the placement of these objects of technical and technological infrastructure has been revealed. The most developed innovative infrastructure is in large agglomerations of European Russia. This is due to the high level of socio-economic development, significant diversification of the economy, the presence of a large number of scientific institutions and universities, a high concentration of innovative enterprises and main markets for innovative goods and services. The use of GIS technologies is an effective method for identifying and analyzing the spatial patterns of the functioning of important objects of industrial and technological infrastructure (technoparks and innovative territorial clusters) in terms of their dynamics, organizational and legal status, the number of employees and determining the prospects for the development of these objects of innovative infrastructure. The results of the study, obtained on the basis of the analysis of spatial data on innovation activity in the regions of Russia, are necessary for organizations and decision makers to form regional and federal policies aimed at achieving the country’s leadership in certain high-tech industries. The end result of an effective innovation policy is to improve the quality of life of the country’s population. Further formation of the innovation infrastructure should be based on the development of an effective marketing strategy for the commercialization of innovations, improvement of the education system and diversification of all components of the innovative infrastructure. Geo-information technologies are the most effective means of identifying the level of diversification of innovative infrastructure due to the ability to visualize the level of concentration of various infrastructure facilities.
Keywords
References
- Audretsch D.B., Heger D., Veith T. Infrastructure and entrepreneurship. Small Business Economics, 2015. No. 44 (2). P. 219–230. DOI: 10.1007/s11187-014-9600-6.
- Baburin V.L., Zemtsov S.P. Innovative potential of Russian regions. Moscow: University Book, 2017. 358 p. (in Russian).
- Barinova V.A., Maltseva A.A., Sorokina A.V., Eremkin V.A. Approaches to assessing the effectiveness of the operation of innovation infrastructure facilities in Russia. Innovations, 2014. No. 3. P. 42–51 (in Russian).
- Barinova V.A., Zemtsov S.P., Spivak V.V., Sutyrina T.A. Regional innovation system of the Irkutsk region. Moscow: Delo Publishing House RANEPA, 2015. 232 p. (in Russian).
- Birudavolu S., Nag B. Regional factors influencing innovation. Business Innovation and ICT Strategies, 2018. P. 211–238. DOI: 10.1007/978-981-13-1675-3_8.
- Caiazza R., Richardson A., Audretsch D.J. Knowledge effects on competitiveness: From firms to regional advantage. The Journal of Technology Transfer, 2015. V. 40. Iss. 6. P. 899–909. DOI: 10.1007/s10961-015-9425-8.
- Cooke P. Biotechnology clusters as regional, sectoral innovation systems. International Regional Science Review, 2002. V. 25. No. 2. P. 8–37. DOI: 10.1177/016001760 202500102.
- Earls J., Dixon B. Spatial interpolation of rainfall data using ArcGIS: A comparative study. Proceedings of the 27th Annual ESRI International User Conference, 2007. V. 31. P. 1–9.
- Feldman M.P. The new economics of innovation, spillovers and agglomeration: A review of empirical studies. Economics of innovation and new technology, 1999. No. 8 (1–2). V. 8. P. 5–25. DOI: 10.1080/10438599900000002.
- Goncalves J., Peuckert J. Measuring the impacts of quality infrastructure: Impact theory, empirics and study design. PTB Guide. Physikalisch-Technische Bundesanstalt, 2011. V. 7. P. 5–44.
- 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. DOI: 10.1007/s11187-018-0083-8.
- Koroleva L.P., Kandrashkina M.A. Innovative infrastructure: essence and development trends in the Republic of Mordovia. System Management, 2014. Iss. 3 (24). Web resource: http://sisupr.mrsu.ru/2014-3/PDF/Koroleva_L_P_Kandraskina_M_A.pdf (accessed 09.02.2023) (in Russian).
- Kutsenko E.S., Abashkin V.L., Fiyaksel E.A., Islankina E.A. Ten years of cluster politics in Russia: the logic of departmental approaches. Innovations, 2017. No. 12 (230). P. 46–58 (in Russian).
- Kutsenko E.S., Islankina E., Abashkin V. The evolution of cluster initiatives in Russia: The impacts of policy, life-time, proximity and innovative environment. Foresight, 2017. V. 19. No. 2. P. 87–120. DOI: 10.1108/FS-07-2016-0030.
- Makar S.V., Nosonov A.M. Evaluation and spatial patterns of development of innovation activity in the regions of Russia. Economy. Taxes. Right, 2017. V. 10. No. 4. P. 96–106 (in Russian). DOI: 10.26794/1999-849X-2017-10-4-96-106.
- MapInfo Professional. User Manual (complete). MapInfo Corporation. New York: Troy, 2004. 659 p.
- Martin R., Florida R., Pogue M., Mellander C. Creativity, clusters and the competitive advantage of cities. Competitiveness Review, 2015. V. 25. Iss. 5. P. 482–496. DOI: 10.1108/CR-07-2015-0069.
- Miguelez E., Moreno R. Relatedness, external linkages and regional innovation in Europe. Regional Studies, 2018. V. 52. Iss. 5. P. 688–701. DOI: 10.1080/00343404.2017.1 360478.
- Mikhailov A.S., Gorochnaya V.V., Mikhailova A.A., Plotnikova A.P., Volkhin D.A. Clusters of coastal regions of the European part of Russia. Geographical Bulletin, 2020. No. 4 (55). P. 81–96. DOI: 10.17072/2079-7877-2020-4-81-96.
- Mikhailov A.S., Mikhailova A.A. On the possibilities of Russian participation in the formation of cross-border innovation clusters in the Baltic. Economics, Management, Finance: Proceedings of II International scientific conference. Perm, 2012. P. 171–178. DOI: 10.13140/2.1.4800.8007.
- Moreno R., Paci R., Usai S. Innovation clusters in the European regions. European Planning Studies, 2006. V. 14. No. 9. P. 1235–1263. DOI: 10.1080/09654310600933330.
- Rating of innovative development of subjects of the Russian Federation. Iss. 5. Moscow: National research University “Higher School of Economics”, 2017. 260 p. (in Russian).
- Rating of innovative regions of Russia by the Association of Innovative Regions of Russia. Moscow: AIRR, 2018. 54 p. (in Russian).
- Romer P.M. Mathiness in the theory of economic growth. American Economic Review, 2015. V. 105. No. 5. P. 89–93. DOI: 10.1257/aer.p20151066.
- Rybalkin V.V., Sutyrina T.A. Strategy of innovative development of Russian. Moscow: Delo Publishing House RANEPA, 2013. 316 p. (in Russian).
- Scholl T., Brenner T. Detecting spatial clustering using a firm-level cluster index. Regional Studies, 2016. V. 50. Iss. 6. P. 1054–1068.
- Schumpeter J. Capitalism, socialism and democracy. London & New York: Taylor & Francis e-Library, 2003. 460 p.
- Scranton P. Infrastructure: Reappraisal and reorientation. Enterprise, Organization, and Technology in China, 2019. P. 199–230. DOI: 10.1007/978-3-030-00398-2_7.
- Sokolov D.S., Tomilina N.S. Innovative infrastructure in modern Russia: Concept, content, features. Innovative Science, 2016. No. 1. P. 172–177 (in Russian).
- Sunny S.A., Shu C. Investments, incentives, and innovation: Geographical clustering dynamics as drivers of sustainable entrepreneurship. Small Business Economics, 2019. V. 52. Iss. 4. P. 905–927. DOI: 10.1007/s11187-017-9941-z.
- Synergy of space: Regional innovation systems, clusters and knowledge flows. Smolensk: Oikumena, 2012. 760 p. (in Russian).
- Tassey G. Modeling and measuring the economic roles of technology infrastructure. Economics of Innovation and New Technology, 2008. No. 17 (7–8). P. 617–631. DOI: 10.1080/10438590701785439.
- Terebova S.V. Innovative infrastructure in the region: Problems and directions of development. Economic and social changes: facts, trends, forecast, 2014. No. 6 (36). P. 199–212 (in Russian). DOI: 10.15838/esc/2014.6.36.15.
- Teslenok S.A., Nosonov A.M., Teslenok K.S. Geoinformation modeling of diffusion of innovations. InterCarto/InterGIS-20: Sustainable development of territories: cartographic and geoinformation support. Moscow, 2014. P. 159–169 (in Russian).
- Torrisi G. Public infrastructure: Definition, classification and measurement issues. Munich Personal RePEc Archive. MPRA Paper No. 12990, posted 25 January 2009. P. 2–34.
- Wang X., Lv J., Wei C., Xie D. Modeling spatial pattern of precipitation with GIS and multivariate geostatistical methods in Chongqing tobacco planting region. China. International Conference on Computer and Computing Technologies in Agriculture. Springer, Berlin, Heidelberg, 2010. P. 512–524.
For citation: Nosonov A.M., Teslenok S.A., Chernobrovkina V.A., Dmitriyev P.S. Geoinformation technologies in the study of innovative infrastructure of the Regions of Russia. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2023. V. 29. Part 1. P. 158–173. DOI: 10.35595/2414-9179-2023-1-29-158-173 (in Russian)