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Territorial Structure of the Russian Digital Economy: Preliminary Delimitation of Smart Urban Agglomerations and Regions

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  • V. I. Blanutsa

    (Sochava Institute of Geography, Siberian Branch, Russian Academy of Sciences)

Abstract

The fourth industrial revolution will form a new digital economy in Russia, dominated by smart objects (factories, transport, roads, buildings, etc.) with artificial intelligence systems. There are currently no studies on identifying the territorial structure of Russia’s future digital economy. Due to the inertia of the existing settlement system and the agglomeration economy, it has been assumed that the future territorial structure will be represented by smart urban agglomerations and regions. It has been established that the most critical parameter for controlling smart objects is signal delay in telecommunication networks. It has been proposed to draw the borders of digital agglomerations and regions based on isochrons of 1 and 10 ms delays with adjustment of borders for the extreme proximity or remoteness of regional centers. The signal delay between 1112 cities of Russia has been determined. Forty-three digital agglomerations and 45 regions were selected. The results can be used to create a development strategy for Russia’s digital economy.

Suggested Citation

  • V. I. Blanutsa, 2019. "Territorial Structure of the Russian Digital Economy: Preliminary Delimitation of Smart Urban Agglomerations and Regions," Regional Research of Russia, Springer, vol. 9(4), pages 318-328, October.
  • Handle: RePEc:spr:rrorus:v:9:y:2019:i:4:d:10.1134_s207997051904004x
    DOI: 10.1134/S207997051904004X
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    References listed on IDEAS

    as
    1. V. I. Blanutsa & K. A. Cherepanov, 2019. "Regional Information Flows: Existing and New Approaches to Geographical Study," Regional Research of Russia, Springer, vol. 9(1), pages 97-106, January.
    2. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon, 2011. "The identification of agglomeration economies," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 253-266, March.
    3. Diego Puga, 2010. "The Magnitude And Causes Of Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 203-219, February.
    4. Carlo Maria Rossotto & Prasanna Lal Das & Elena Gasol Ramos & Eva Clemente Miranda & Mona Farid Badran & Martha Martinez Licetti & Graciela Miralles Murciego, 2018. "Digital platforms: A literature review and policy implications for development," Competition and Regulation in Network Industries, , vol. 19(1-2), pages 93-109, March.
    5. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    6. de Reuver, Mark & Sørensen, Carsten & Basole, Rahul C., 2018. "The digital platform: a research agenda," LSE Research Online Documents on Economics 80669, London School of Economics and Political Science, LSE Library.
    7. Melo, Patricia C. & Graham, Daniel J. & Noland, Robert B., 2009. "A meta-analysis of estimates of urban agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 332-342, May.
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