Influence of Cross-Industry Information Innovations of the Space Industry on the Economic Growth of the Russian Regions
DOI:
https://doi.org/10.17059/2020-1-17Keywords:
cross-industry innovations, geoinformation approach, neogeography, geoinformation technologies, GIS technologies, space industry, results of space activity, economic growth, regions of RussiaAbstract
The article examines the effective use of space information technologies in regional development. The study aims to assess and predict the influence of cross-industry information innovations of the space industry on economic growth of the Russian regions. We formidated and tested a hypothesis on the possibility of simulating the effects from the implementation of the space technologies of a Geographic Information System (GIS) in economic sectors. The research focuses on geoinformation and navigation GIS technologies provided by the space industry for the regional and sectoral development. We used the geoinformation approach for assessing monitoring and predicting the socio-economic development of the regions. We showed that currently a new class of regional economic and mathematical models is emerging. They are based on neogeography, which is a novel method of reporting economic information. In the context of digitalization, finding new sources of regional economic growth is a relevant task. Using space infrastructure and its information to solve the regions' economic problems can become such a source. A number of economic growth models demonstrated that, in the short term, labour productivity can grow due to an increase in the competence level in using space information. In the long term, this growth can be caused by increasing the body of space evidence, improving the quality of its economic processing, and developing technologies for using this information for managing regional economic processes. We have considered the effects from using cross-industrial information innovations of the space industry in the Russian industrial regions. Moreover, we rated the industries in accordance with the intensity of the use of space GIS technologies. Further, we have compared the obtained residts with the structure of the industrial regions' gross regional product. We came to a conclusion that in the context of an active digitization of key industries based on GIS technologies, the economic growth of the industrial regions will be determined by total factor productivity connected with the effects from the introduction of such technologies.References
Chursin, R. A., Yudin A. V., Grosheva P. Yu., Filippo, P. G. & Butrova, E. V. (2019). Tool for Assessing the Risks of R&D Projects Implementation in High-tech Enterprises. 2019 IOP Conf. Ser.: Mater. Sci. Eng. 476 012005. Retrieved from: https:// iopscience.iop.org/article/10.1088/1757–899X/476/1/012005/pdf (Date of access: 23.01.2020).
Vasilevskiy, L. I. & Medvedkov, Yu. V. (1976). Perspektivy matematicheskikh metodov v geografii [Prospects of mathematical methods in geography]. In: Voprosy geografii. Sbornik 100. Perspektivy geografii [Problems of geography. Volume 100. Prospects of geography] (pp. 93–109). Moscow: Mysl. (In Russ.)
Karpel M. E. (1980). Kompleksnaya otsenka territorii i puti ee sovershenstvovaniya v svete sistemnogo podkhoda [Complex assessment of the territory and ways of its improvement in the context of the system approach]. In: Voprosy geografii. Sbornik 113. Geograficheskie nauki i rayonnaya planirovka [Problems of geography. Volume 113. Geographical Sciences and district planning] (pp. 128–139). Moscow: Mysl. (In Russ.)
Akberdina, V. (2018). Digitalization of industrial markets: Regional characteristics. Upravlenets [The Manager], 6, 78–87.
Plyakin, A. V. & Bodrova, V. N. (2013). Infrastruktura prostranstvennykh dannykh dlya otsenki geoekologicheskogo sostoyaniya territorii regiona [Spatial data infrastructure for regional geo-ecological assessment]. Vestnik Volgogradskogo gosudarstvennogo universiteta. Seriya 11. Estestvennye nauki [Science journal of Volgograd state university. Natural science], 1, 59–66. (In Russ.)
Bat’kovski, A. & Fomina A. (2016). Analiz zarubezhnogo opyta sovershnstvovaniya upravleniya predpriyatiyami oboronno-promyshlennogo kompleksa v usloviyakh ego modernizatsii [Analysis of foreign experience related to improve- ment of management of enterprises of military industrial complex in the context of its modernization]. Radioprmyshlennost [Radio industry], 26(3), 112–119. DOI: 10.21778/2413–9599–2016–3-112–119 (In Russ.)
Carabenciov, I., Freedman, Ch., Garcia-Saltos, R., Laxton, D., Kamenik, O. & Manchev, P. (2013). GPM6 — The Global Projection Model with 6 Regions. IMF working paper WP/13/87, 78. Retrieved from: http://www.imf.org/external/pubs/ft/ wp/2013/wp1387.pdf (Date of access: 23.01.2020).
Sinelnikov-Murylev, S., Drobyshevskiy, S., Kazakova, M. & Alekseev, M. (2015). Dekompozitsiya tempov rosta VVP Rossii [Decomposition of Russian GDP growth rates]. Moscow: Gaidar publishing house, 128. (In Russ.)
Lin, H. & Zhu, Q. (2005). Virtual Geographic Environments. In: S. Zlatanova, D. Prosperi (Eds.), Large-scale 3D Data Integration: Challenges and Opportunities (pp. 211–231). Florida: CRC Press.
Wilson, D. & Purushothaman, P. (2003). Dreaming with BRICs: The Path to 2050. Goldman Sachs. Global Paper. No 99, 24.
Chernova, V. Y., Zobov, A. M. & Starostin, V. S. (2019). Dynamics of digital inequality in Russia. Media Watch, 10(2), 225–234. DOI: https://doi.org/10.15655/mw/2019/v10i2/49622
Galaso, P. & Kovárík, J. (2018). Collaboration Networks and Innovation: How to Define Network Boundaries. Journal of Eurasian Economic Dialogue, 3(2), 1–17.
Shamin, R. V., Chursin, A. A. & Fedorova, L. A. (2017). The Mathematical Model of the Law on the Correlation of Unique Competencies with the Emergence of New Consumer Markets. European Research Studies Journal, XX(3A), 39–56.
Lavezzi, A. M. (2001). Division of Labor and Economic Growth: from Adam Smith to Paul Romer and Beyond. University of Pisa. Retrieved from: http://time.dufe.edu.cn/article/romer/5.pdf (Date of access: 23.01.2020).
The World in 2050: The accelerating shifts of global economic power: challenges and opportunities. (2011). PWC, 25.
Gusev, M. S. (2014). Modelirovanie ekonomicheskogo rosta v dolgosrochnykh prognozakh mirovoy ekonomiki [Modeling economic growth for long-term global economic forecasting]. Problemy prognozirovaniya [Studies on Russian Economic Development], 5, 3–14. (In Russ.)
Turner, A. (2006). Introduction to Neogeography. Short Cuts. O’Reilly Media, 53.
Kuznetsov, Yu. A. & Umilina, A. Yu. (2015). Nekotorye osobennosti razvitiya ekonomiki razvivayushchikhsya stran i matematicheskaya model ekonomicheskogo rosta tipa Nelsona — Felpsa [Some features of economic growth in developing countries and a mathematical model of economic growth of the Nelson — Phelps type]. Vestnik Nizhegorodskogo universiteta im. N. I. Lobachevskogo. Seriya: Sotsialnye nauki [Vestnik of Lobachevsky State University of Nizhni Novgorod. Series: Social Sciences], 4(40), 36–44. (In Russ.)
Shackelton, R. (2013). Total Factor Productivity Growth in Historical Perspective. Working Paper 2013–01, 21.
Nelson, R. R. & Phelps, E. S. (1966). Investment in Humans, Technological Diffusion, and Economic Growth. American Economic Review, 56(1/2), 69–75.
Dyatlov, S. A. (2014). Setevye effekty i vozrastayushchaya otdacha v informatsionno-innovatsionnoy ekonomike [Network effects and increasing returns in information and innovation-based economy]. Izvestiya Sankt-Peterburgskogo gosudarstvennogo ekonomicheskogo universiteta, 2(86), 7–11. (In Russ.)
Lambert, T. E. (2019). Monopoly Capital and Innovation: an Exploratory Assessment of R&D Effectiveness. Journal of Eurasian Economic Dialogue, 3(6), 20–35.
Aptekman, A., Kalabin, V., Klintsov, V., Kuznetsova, E., Kulagin, V. & Yasenovets, I. (2017). Tsifrovaya Rossiya. Novaya realnost [Digital Russia: a new reality]. McKinsey & Company, 133. (In Russ.)
Zhiganov, A. N., Zaichko, V. A., Lukiyashchenko, M. A. & Maksimov, A.V. (2014). Sistematizatsiya kosmicheskikh uslug [Systematization of cosmic services]. Servis v Rossii i za rubezhom [Service in Russia and abroad], 4, 18–25. (In Russ.)
Akberdina, V., Kalinina, A. & Vlasov, A. (2018). Transformation stages of the Russian industrial complex in the context of economy digitization. Problems and Perspectives in Management, 16(4), 201–211.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Victoria Viktorovna Akberdina, Andrey Evgenievich Tyulin, Alexander Alexandrovich Chursin, Alexander Viktorovich Yudin
This work is licensed under a Creative Commons Attribution 4.0 International License.
