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Actual Problems of
Economics and Law

 

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DOI: 10.21202/1993-047X.13.2019.3.1343-1355

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Authors :
1. Viktor I. Blanutsa, Doctor of Geography, expert of the Russian Academy of Sciences on Economic Sciences, Leading Researcher of the Laboratory of GeoResources Studies and Political Geography
Institute for Geography named after V. B. Sochava of the Siberian branch of the Russian Academy of Sciences



Digital economy of Siberia: territorial platforms for clusters


Objective: to identify the infocommunication connectivity of Siberian regions in order to delimitate the territorial digital platforms as the basis for forming territorial clusters of the future digital economy.


Methods: content analysis, calculation of information flow delay between cities, comparative analysis, network analysis.


Results: the connectivity of ten Siberian regions was estimated by the value of information flow delay between the administrative centers of these regions. Delay calculations were carried out according to the author’s database of telecommunication lines between all cities. Only fiber-optic communication lines were taken into account. It is shown that with the existing fiber-optic network of Siberia allows allocating five territorial digital platforms that unite six digital urban agglomerations. In case of straightening the communication lines between the agglomerations’ cores, it is possible to form four platforms uniting all eight Siberian digital agglomerations. Then, in future, 47% of the Siberian Federal district cities may appear to be out of the digital economy.


Scientific novelty: the trend of the Russian publication activity in the field of economic connectivity is determined; it is proposed to assess the infocommunication connectivity of regional administrative centers by the delay of information flow between them; the curvature of the infocommunication space of Siberia as a kind of economic space is measured; the idea of the territorial digital platform is formulated; interregional and regional digital platforms of Siberia are identified.


Practical significance: the author compiled a list of Siberian cities, the ultra-small information flow delay between which allows forming territorial clusters of the future digital economy.


Keywords :

Aspects of the digital economy; Digital economy; Optical-fiber line; information flow delay; Connectivity of the economic space; Digital urban agglomeration; Territorial digital platform; Territorial cluster; Siberian Federal District


Bibliography :

1. Kagermann H., Wahlster W., Helbig J. (Hrsg.). Deutschlands Zukunft als Produktionsstandort sichern: Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0. Abschlussbericht des Arbeitskreises Industrie 4.0, Frankfurt/Main, Deutsche Akademie der Technikwissenschaften e. V., 2013, 112 p. (in Germ.).


2. Kitchin R. The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences, Los Angeles, SAGE Publ., 2014, 222 p.


3. Schwab K. The Fourth Industrial Revolution, New York, Crown Business, 2017, 192 p.


4. Blanutsa V. I. Social-economic zoning in the epoch of big data, Moscow, INFRA-M, 2017, 194 p. (in Russ.).


5. Liao Y., Deschamps S., Loures E. F. R., Ramos L. F. R. Past, present and future of Industry 4.0 – a systematic literature review and research agenda proposal, International Journal of Production Research, 2017, Vol. 55, No. 12, pp. 3609–3629. DOI: 10.1080/00207543.2017.1308576


6. Openkov M. Yu., Varakin V. S. Artificial Intelligence as an Economic Category, Vestnik of Northern (Arctic) Federal University, Ser. "Humanitarian and Social Sciences", 2018, No. 1, pp. 73–83 (in Russ.). DOI: 10.17238/issn2227-6564.2018.1.73

7. Zuehlke D. SmartFactory – towards a factory-of-things, Annual Reviews in Control, 2010, Vol. 34, No. 1, pp. 129–138. DOI: 10.1016/j.arcontrol.2010.02.008


8. Albino V., Berardi U., Dangelico R. M. Smart cities: definitions, dimensions, performance, and initiatives, Journal of Urban Technology, 2015, Vol. 22, No. 1, pp. 3–21. DOI: 10.1080/10630732.2014.942092


9. Morandi C., Rolando A., Di Vita S. From Smart City to Smart Region: Digital Services for an Internet of Places, Milan, Springer, 2016, 120 p.


10. Svon M. Blockchain: scheme of new economy, Moscow, Olimp-biznes, 2017, 240 p. (in Russ.).


11. Kucheryavyi A. E., Makolkina M. A., Kirichek R. V. Tactile Internet. Communication network with ultralow latencies, Elektrosvyaz', 2016, No. 1, pp. 44–46 (in Russ.).


12. Martin M., Mahfuzulhoq C., Bhaskar P., Dung P. The Tactile Internet: vision, recent progress, and open challenges, IEEE Communications Magazine, 2016, Vol. 54, No. 5, pp. 138–145. DOI: 10.1109/mcom.2016.7470948

13. Akhmed A. A., Blinnikov M. A., Pirmagomedov R. Ya., Glushakov R. I., Kucheryavyi A. E. Review of the modern state of e-health, Informatsionnye tekhnologii i telekommunikatsii, 2017, Vol. 5, No. 3, pp. 1–13 (in Russ.).


14. Manyika J., Bughin J., Lund S. et al. Global Flows in a Digital Age: How Trade, Finance, People, and Data Connect the World Economy, London, New York, McKinsey Global Institute, 2014, 167 p.


15. Manyika J., Lund S., Bughin J. et al. Digital Globalization: The New Era of Global Flows, London, New York, McKinsey Global Institute, 2016, 143 p.


16. Tikhvinskii V. O., Bochechka G. S. Prospects of 5G networks and requirements to the quality of their servicing, Elektrosvyaz', 2014, No. 11, pp. 40–43 (in Russ.).


17. Cubitt S. Telecommunication networks: Economy, ecology, rule, Theory, Culture & Society, 2014, Vol. 31, No. 7–8, pp. 185–199. DOI: 10.1177/0263276413511490


18. Konyshev V. A., Leonov A. V., Nanii O. E. et al. Optical revolution in communication systems and its social and economic impact, Applied photonics, 2016, Vol. 3, No. 1, pp. 15–27 (in Russ.). DOI: 10.15593/2411-4367/2016.01.01

19. Babkin A. V., Burkal'tseva D. D., Kosten' D. G. et al. Developing the digital economy in Russia: essence, features, technical normalization, problems of development, Nauchno-tekhnicheskie vedomosti SPbGPU. Ekonomicheskie nauki, 2017, Vol. 10, No. 3, pp. 9–25 (in Russ.).


20. Yakutin Yu. V. Russian economy: strategy of digital transformation (on constructive critique of the government program “Digital economy of the Russian Federation”), Menedzhment i biznes-administrirovanie, 2017, No. 4, pp. 25–72 (in Russ.).

 

21. Tsvetkova L. A. Prospects of blockchain development in Russia: competitive advantages and barriers, Ekonomika nauki, 2017, Vol. 3, No. 4, pp. 275–296 (in Russ.).


22. Kuleshova G. I. Territories in the digital economy: theses for the new discourse in professional discussion, Gradostroitel'stvo, 2017, No. 4, pp. 11–16 (in Russ.).


23. Chernovalov A. V., Baranov D. N. Essence of the category “digital economy” and factors of digital technologies diffusion in the Russian Federation, Ekonomicheskie sistemy, 2018, Vol. 11, No. 2, pp. 31–42 (in Russ.).


24. Surinov A. E. Digital economy: challenges for the Russian statistics, Voprosy statistiki, 2018, Vol. 25, No. 3, pp. 3–14 (in Russ.).

25. Alstadt B., Weisbrod G., Cutler D. Relationship of transportation access and connectivity to local economic outcomes: Statistical analysis, Transportation Research Record, 2012, Vol. 2297, No. 1, pp. 154–162. DOI: 10.3141/2297-19


26. Gillen D., Landau S., Gosling G. D. Measuring the relationship between airline network connectivity and productivity, Transportation Research Record, 2015, Vol. 2501, No. 1, pp. 66–75. DOI: 10.3141/2501-09


27. Kumar N. Potential and prospects of strengthening transport connectivity for regional economic integration in Southern Asia, South Asia Economic Journal, 2015, Vol. 16, No. 2_suppl, pp. 39S–54S. DOI: 10.1177/1391561415594894

28. Huggins R., Thompson P. Networks and regional economic growth: A spatial analysis of knowledge ties, Environment and Planning A: Economy and Space, 2017, Vol. 49, No. 6, pp. 1247–1265. DOI: 10.1177/0308518x17692327


29. Li Y., Fan J., Deng H. Analysis of regional difference and correlation between highway traffic development and economic development in China, Transportation Research Record, 2018, Vol. 2672, No. 3, pp. 12–25. DOI: 10.1177/0361198118790373

30. Macnamara J. Media content analysis: Its uses; benefits and best practice methodology, Asia Pacific Public Relations Journal, 2005, Vol. 6, No. 1, pp. 1–34.


31. Mayring P. Qualitative Content Analysis: Theoretical Foundation, Basic Procedures and Software Solution, Klagenfurt, SSOAR, 2014, 143 p.


32. Blanutsa V. I. Does “Sibnet” exist as a segment of Internet? Defining the connectivity of autonomous systems in Siberia, Izvestiya Irkutskogo gosudarstvennogo universiteta. Seriya: Politologiya. Religiovedenie, 2017, Vol. 22, pp. 195–202 (in Russ.).

33. Blanutsa V. I. Economic connectivity of the Russian regions in the space of Internet, Creative Economy, 2018, Vol. 12, No. 5, pp. 701–716 (in Russ.). DOI: 10.18334/ce.12.5.39144


34. Blanutsa V. I. Territorial Structure of Digital Economy of Russia: Preliminary Delimitation of ‘Smart’ Urban Agglomerations and Regions, Spatial Economics, 2018, No. 2, pp. 17–35 (in Russ.). DOI: 10.14530/se.2018.2.017-035

35. Malecki E. J. The economic geography of the Internet’s infrastructure, Economic Geography, 2002, Vol. 78, No. 4, pp. 399–424. DOI: 10.14530/se.2018.2.017-035


36. Rutherford J. Networks in cities, cities in networks: Territory and globalization intertwined in telecommunications infrastructure development in Europe, Urban Studies, 2005, Vol. 42, No. 13, pp. 2389–2406. DOI: 10.1080/00420980500379529

37. Choi J. H., Barnett G. A., Chon B.-S. Comparing world city networks: a network analysis of Internet backbone and air transport intercity linkages, Global Networks, 2006, Vol. 6, No. 1, pp. 81–99. DOI: 10.1111/j.1471-0374.2006.00134.x


38. Tranos E. The topology and the emerging urban geographies of the Internet backbone and aviation networks in Europe: A comparative study, Environmental and Planning A: Economy and Space, 2011, Vol. 43, No. 2, pp. 378–392. DOI: 10.1068/a43288

39. Yu H., Ahn S. An azimuth-based dead-end avoiding routing mechanism for providing reliable IP connectivity in multihop wireless networks, International Journal of Distributed Sensor Networks, 2016, Vol. 12, No. 5, pp. 1–10. DOI: 10.1155/2016/5949103


40. Blank G., Graham M., Calvino C. Local geographies of digital inequality, Social Science Computer Review, 2018, Vol. 36, No. 1, pp. 82–102. DOI: 10.1177/0894439317693332


41. Blanutsa V. I., Cherepanov K. A. Regional information flows: Existing and new approaches to geographical study, Regional Research of Russia, 2019, Vol. 9, No. 1, pp. 97–106. DOI: 10.1134/s2079970519010039


42. Popkov V. K. Mathematical models of connectivity. Part 1: Graphs and networks, Novosibirsk, Izd. IVMiMG SO RAN, 2000, 175 p. (in Russ.).


43. Fujita M., Thisse J.-F. Economics of Agglomeration: Cities, Industrial Location, and Regional Growth, Cambridge, UK, Cambridge University Press, 2002, 466 p.


44. Melo P. C., Graham D. J., Noland R. B. A meta-analysis of estimates of urban agglomeration economies, Regional Science and Urban Economics, 2009, Vol. 39, No. 3, pp. 332–342. DOI: 10.1016/j.regsciurbeco.2008.12.002

45. Puga D. The magnitude and causes of agglomeration economies, Journal of Regional Science, 2010, Vol. 50, No. 1, pp. 203–219. DOI: 10.1111/j.1467-9787.2009.00657.x


46. Malmberg A., Maskell P. The elusive concept of localization economies: Towards a knowledge-based theory of spatial clustering, Environment and Planning A: Economy and Space, 2002, Vol. 34, No. 3, pp. 429–449. DOI: 10.1068/a3457

47. Isaksen A. Knowledge-based clusters and urban location: The clustering of software consultancy in Oslo, Urban Studies, 2004, Vol. 41, No. 5–6, pp. 1157–1174. DOI: 10.1080/00420980410001675797

 

48. Halbert L. Collaborative and collective: Reflexive co-ordination and the dynamics of open innovation in the digital industry clusters of the Paris Region, Urban Studies, 2011, Vol. 49, No. 11, pp. 2357–2376. DOI: 10.1177/0042098011427186


49. Tavassoli S., Tsagdis D. Critical success factors and cluster evolution: A case study of the Linköping ICT cluster lifecycle, Environment and Planning A: Economy and Space, 2014, Vol. 46, No. 6, pp. 1425–1444. DOI: 10.1068/a46258

50. Lorenzini E. Innovation and e-commerce in clusters of small firms: The case of a regional e-marketplace, Local Economy, 2014, Vol. 29, No. 8, pp. 771–794. DOI: 10.1177/0269094214556053


51. Thompson P. Wired-up or wind-up? The political economy of broadband policy in New Zealand/Aotearoa, Media International Australia, 2014, Vol. 151, No. 1, pp. 146–156. DOI: 10.1177/1329878x1415100119


52. Rossotto C. M., Das P. L., Ramos E. G. et al. Digital platforms: A literature review and policy implications for development, Competition and Regulation in Network Industries, 2018, Vol. 19, No. 1–2, pp. 93–109. DOI: 10.1177/1783591718809485

53. Reuver de M., Sorensen C., Basole R. C. The digital platform: A research agenda, Journal of Information Technology, 2018, Vol. 33, No. 2, pp. 124–135. DOI: 10.1057/s41265-016-0033-3


54. Perfil'ev Yu. Yu. Territorial spreading of the Internet in Russia as a process of innovations diffusion, Vestnik Moskovskogo universiteta, Ser. 5. Geogr., 2003, No. 2, pp. 30–36 (in Russ.).


55. Rachinskii A. A. Spreading of mobile communication in Russia, Prikladnaya ekonometrika, 2010, No. 2, pp. 111–122 (in Russ.).


56. Kupriyanovskii V. P., Bulancha S. A., Kononov V. V. i dr. Smart cities as “capitals” of digital economy, International Journal of Open Information Technologies, 2016, Vol. 4, No. 2, pp. 41–52 (in Russ.).


57. Yu L. The divided views of the information and digital divides: A call for integrative theories of information inequality, Journal of Information Science, 2011, Vol. 37, No. 6, pp. 660–679. DOI: 10.1177/0165551511426246


58. The Digital Divide: The Internet and Social Inequality in International Perspective, M. Ragnedda, G. W. Muschert (eds), London, New York, Routledge, 2013, 324 р. DOI: 10.4324/9780203069769


59. Nieminen H. Digital divide and beyond: What do we know of information and communications technology’s long-term social effects? Some uncomfortable questions, European Journal of Communication, 2016, Vol. 31, No. 1, pp. 19–32. DOI: 10.1177/0267323115614198


60. Liu H., Fang C., Sun S. Digital inequality in provincial Chine, Environment and Planning A: Economy and Space, 2017, Vol. 49, No. 10, pp. 2179–2182. DOI: 10.1177/0308518x17711946


61. Blank G., Graham M., Calvino C. Local geographies of digital inequality, Social Science Computer Review, 2018, Vol. 36, No. 1, pp. 82–102. DOI: 10.1177/0894439317693332


62. Marler W. Mobile phones and inequality: Findings, trends, and future directions, New Media & Society, 2018, Vol. 20, No. 9, pp. 3498–3520. DOI: 10.1177/1461444818765154


Citation :

Blanutsa V. I. Digital economy of Siberia: territorial platforms for clusters, Actual Problems of Economics and Law, 2019, Vol. 13, No. 3, pp. 1343–1355 (in Russ.). DOI: http://dx.doi.org/10.21202/1993-047X.13.2019.3.1343-1355


Type of article : The scientific article

Date of receipt of the article :
06.05.2019

Date of adoption of the print :
21.07.2019

Date of online accommodation :
25.09.2019