| In the section | Articles |
| Title of the article | Regionalization of the Digital Economic Space: Contours of Emerging Approaches |
| Pages | 56-82 |
| Author |
Viktor Ivanovich Blanutsa Doctor of Sciences (Geography), Leading Researcher V.B. Sochava Institute of Geography SB RAS 1 Ulan-Batarskaya St., Irkutsk, 664033, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0003-3958-216X |
| Abstract | An inhomogeneous economic space, representing a multitude of interactions between geographically distributed economic agents, can be differentiated into a number of districts. The experience of economic regionalization has approximately 260 years. However, this experience is poorly used in the transition to the digital economy and the analysis of the digital economic space formed as a result of the digital interaction of economic agents. There is no generalization of research on the differentiation of such a space in world science. Therefore, the purpose of our research was to generalize the world experience of regionalization of the digital economic space in order to identify emerging approaches and clarify existing problems and possible prospects. To achieve this goal, it was necessary to solve the following tasks: to identify the world array of publications on the subject under consideration; to conduct a comparative analysis of the identified publications with their subsequent grouping into approaches; to assess the possibilities and limitations of each approach; to outline the prospects for further research. About forty journal articles on the regionalization of the digital economic space have been identified in eight bibliographic databases using the author’s semantic search algorithm. A comparative analysis of these articles led to the conclusion that all of them are grouped into six approaches according to the method of allocation of districts: autocorrelation, cluster, comparative geographical, streaming, agglomeration and platform. The ideas underlying each approach are presented, as well as the main advantages and disadvantages. Prospects for further research may be related to the solution of the identified problems. As a result of comparing the array of articles with the experience of economic regionalization, five promising areas have been identified that go beyond the existing approaches |
| Code | 332.1+911.3 |
| JEL | L86, L96, R12, R15 |
| DOI | https://dx.doi.org/10.14530/se.2022.2.056-082 |
| Keywords | economic regionalization ♦ information flow ♦ lacuna ♦ spatial autocorrelation ♦ clustering ♦ comparative analysis ♦ digital urban agglomeration ♦ platform economy |
| Download | |
| For citation | Blanutsa V.I. Regionalization of the Digital Economic Space: Contours of Emer-ging Approaches. Prostranstvennaya Ekonomika = Spatial Economics, 2022, vol. 18, no. 2, pp. 56–82. https://dx.doi.org/10.14530/se.2022.2.056-082 (In Russian) |
| References | 1. Akamatsu T., Mori T., Osawa M., Takayama Y. Spatial Scale of Agglomeration and Dispersion: Theoretical Foundation and Empirical Implications. RIETI. Discussion Paper Series 17-E-125. Tokyo, 2017, 92 p. 2. Alaev E.B. Socio-Economic Geography. Conceptual and Terminological Dictionary. Moscow, 1983, 350 p. (In Russian). 3. Animitsa E.Y., Surnina N.M. The Economic Space of Russia: Problems and Trends. Ekonomika Regiona = Economy of Region, 2006, no. 3, pp. 34–46. (In Russian). 4. Anselin D. Local Indicators of Spatial Association – LISA. Geographical Analysis, 1995, vol. 27, issue 2, pp. 93–115. 5. Anselin L., Williams S. Digital Neighborhoods. Journal of Urbanism, 2016, vol. 9, issue 4, pp. 305–328. 6. Assuncao R.M., Neves M.C., Camara G., da Costa Freitas C. Efficient Regionalization Techniques for Socio-Economic Geographical Units Using Minimum Spanning Trees. International Journal of Geographical Information Science, 2006, vol. 20, issue 7, pp. 797–811. 7. Baranskiy N.N. Selected Works. The Formation of Soviet Economic Geography. Moscow, 1980, 287 p. (In Russian). 8. Blanutsa V.I. Digital Economy of Siberia: Territorial Platforms for Clusters. Aktualnye Problemy Ekonomiki i Prava = Actual Problems of Economics and Law, 2019, vol. 13, no. 3, pp. 1343–1355. (In Russian). 9. Blanutsa V.I. Digital Economy of the Russian Federation: Conceptual Analysis of the National Program. Vestnik Permskogo Universitets. Seriya: Ekonomika = Perm University Herald. Economy, 2020b, vol. 15, no. 4, pp. 463–493. (In Russian). 10. Blanutsa V.I. Regional Economic Studies using Algorithms of Artificial Intelligence: State and Prospects. Vestnik Zabaykalskogo Gosudarstvennogo Universiteta [Bulletin of the Trans-Baikal State University], 2020а, vol. 26, no. 8, pp. 100–111. (In Russian). 11. Blanutsa V.I. Socio-Economic Regionalization in the Age of Big Data. Moscow, 2018а, 194 p. (In Russian). 12. Blanutsa V.I. Territorial Structure of Digital Economy of Russia: Preliminary Delimitation of ‘Smart’ Urban Agglomerations and Regions. Prostranstvennaya Ekonomika = Spatial Economics, 2018b, no. 2, pp. 17–35. (In Russian). 13. Blanutsa V.I., Cherepanov K.A. Regional Information Flows: Existing and New Approaches to Geographical Study. Regional Research of Russia, 2019, vol. 9, issue 1, pp. 97–106. 14. Colantonio E., Cialfi D. Smart Regions in Italy: A Comparative Study through Self-Organizing Maps. European Journal of Business and Social Science, 2016, vol. 5, issue 9, pp. 84–99. 15. Combes P.-P., Duranton G., Gobillon L. The Identification of Agglomeration Economies. Journal of Economic Geography, 2011, vol. 11, issue 2, pp. 253–266. 16. De Reuver M., Sorensen C., Basole R.C. The Digital Platform: A Research Agenda. Journal of Information Technolog, 2018, vol. 33, issue 2, pp. 124–135. 17. Demyanenko A.N. Economic Zoning: Questions of Theory and History. Russian Academy of Sciences, Far Eastern Branch, Economic Research Institute. Khabarovsk, 2010, 224 p. (In Russian). 18. Demyanenko A.N. On Economic Regionalization and Formation of Regions. Regionalistica [Regionalistics], 2018, vol. 5, no. 6, pp. 5–17. (In Russian). 19. Di Comite F., Kancs d’A., Lecca P. Modeling Agglomeration and Dispersion in Space: The Role of Labor Migration, Capital Mobility and Vertical Linkages. Review of International Economic, 2017, vol. 26, issue 3, pp. 555–577. 20. Drobne S., Bogataj M. Evaluating Functional Regions. Croatian Operational Research Review, 2012, vol. 3, issue 1, pp. 14–26. 21. Drobne S., Perez A.G., Hontoria E., Konjar M. Comparison of Two Network-Theory-Based Methods for Detecting Functional Regions. Business Systems Research, 2020, vol. 11, issue 2, pp. 21–35. 22. Duch-Brown N., Rossetti F. Digital Platforms across the European Regional Energy Markets. Energy Policy, 2020, vol. 144. e111612. 23. Duque J.C., Ramos R., Surinach J. Supervised Regionalization Methods: A Survey. International Regional Science Review, 2007, vol. 30, issue 3, pp. 195–220. 24. Fl?rez-Revuelta F., Casado-Diaz J., Martinez-Bernabeu L. An Evolutionary Approach to the Delineation of Functional Areas Based Travel-to-Work Flows. International Journal of Automation and Computing, 2008, vol. 5, issue 1, pp. 10–21. 25. Gbededo M.A., Liyanage K., Garza-Reyes J.A. Towards a Life Cycle Sustainability Analysis: A Systematic Review of Approaches to Sustainable Manufacturing. Journal of Cleaner Production, 2018, vol. 184, pp. 1002–1015. 26. Graham M. Regulate, Replicate, and Resist – The Conjunctural Geographies of Platform Urbanism. Urban Geography, 2020, vol. 41, issue 3, pp. 453–457. 27. Gregory K., Maldonado M.P. Delivering Edinburgh: Uncovering the Digital Geography of Platform Labour in the City. Information, Communication and Society, 2020, vol. 23, issue 8, pp. 1187–1202. 28. Grishin K.E., Kazakova O.B., Kuzminykh N.A., Timiryanova V.M. Economic Space: Approaches to Research and Architectures. Ekonomika i Upravlenie: Nauchno-Prakticheskiy Zhurnal = Economics and Management: Research and Practice Journal, 2020, no. 3, pp. 4–10. (In Russian). 29. Grubesic T.H. A Spatial Taxonomy of Broadband Regions in the United States. Information Economics and Policy, 2006, vol. 18, issue 4, pp. 423–448. 30. Grubesic T.H. Efficiency in Broadband Service Provision: A Spatial Analysis. Telecommunications Policy, 2010, vol. 34, issue 3, pp. 117–131. 31. Grubesic T.H. The Spatial Distribution of Broadband Providers in the United States: 1999–2004. Telecommunications Policy, 2008, vol. 32, issue 3–4, pp. 212–233. 32. Guo D. Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (REDCAP). International Journal of Geographical Information Sciences, 2008, vol. 22, issue 7, pp. 801–823. 33. Haggett P. Locational Analysis in Human Geography. London: Edward Arnold, 1965, 379 p. 34. Halas M., Klapka P., Tonev P., Bednar M. An Alternative Definition and Use for the Constraint Function for Rule-Based Methods of Functional Regionalization. Environment and Planning A: Economy and Space, 2015, vol. 47, issue 5, pp. 1175–1191. 35. Harmaakorpi V., Rinkinen S. Regional Development Platforms as Incubators of Business Ecosystems. Case Study: The Lahti Urban Region, Finland. Growth and Change, 2020, vol. 51, issue 2, pp. 626–645. 36. Kaganskiy V.L. Basic Practices and Paradigms of Zoning. Regionalnye Issledovaniya [Regional Researches], 2003, no. 1 (2), pp. 17–30. (In Russian). 37. Karlsson C., Olsson M. The Identification of Functional Regions: Theory, Methods, and Applications. The Annals of Regional Science, 2006, vol. 40, issue 1, pp. 1–18. 38. Kenney M., Zysman J. The Platform Economy: Restructuring the Space of Capitalist Accumulation. Cambridge Journal of Regions, Economy and Society, 2020, vol. 13, issue 1, pp. 55–76. 39. Kim H., O’Kelly M.E. Reliable p-Hub Location Problems in Telecommunication Networks. Geographical Analysis, 2009, vol. 41, issue 3, pp. 283–306. 40. Kiss E., Nedelka E. Geographical Approach of Industry 4.0 Based on Information and Communication Technologies at Hungarian Enterprises in Connection with Industrial Space. Hungarian Geographical Bulletin, 2020, vol. 69, issue 2, pp. 99–117. 41. Kolosovskiy N.N. Theory of Economic Zoning. Moscow, 1969, 336 p. (In Russian). 42. Korabeynikov I.N. Features and Components of Information and Economic Space. Vestneyk UrFU. Seriya Ekonomika i Upravlenie = Bulletin of Ural Federal University. Series Economics and Management, 2015, vol. 14, no. 5, pp. 687–716. (In Russian). 43. Leigh N.G., Kraft B. Emerging Robotic Regions in the United States: Insights for Regional Economic Evolution. Regional Studie, 2018, vol. 52, issue 6, pp. 804–815. 44. Letaief K.B., Chen W., Shi Y., Zhang J., Zhang Y.-J.A. The Roadmap to 6G: AI Empowered Wireless Networks. IEEE Communication Magazine, 2019, vol. 57, issue 8, pp. 84–90. 45. Liang J., Goetz S.J. Technology Intensity and Agglomeration Economies. Research Policy, 2018, vol. 47, issue 10, pp. 1990–1995. 46. Lieder M., Rashid A. Towards Circular Economy Implementation: A Comprehensive Review in Context of Manufacturing Industry. Journal of Cleaner Production, 2016, vol. 115, pp. 36–51. 47. Lutz S.U. The European Digital Single Market Strategy: Local Indicators of Spatial Association 2011–2016. Telecommunications Policy, 2019, vol. 43, issue 5, pp. 393–410. 48. Mack E.A. Broadband and Knowledge Intensive Firm Clusters: Essential Link or Auxiliary Connection? Papers in Regional Science, 2014, vol. 93, issue 1, pp. 3–29. 49. Minakir P.A., Demyanenko A.N. The Economic Space of Modern Russia and the Approaches to Its Study (Part I). Regionalistica [Regionalistics], 2017, vol. 4, no. 1, pp. 5–14. (In Russian). 50. Nader G.A. An Economic Regionalization of Canada: The Validity of Provinces as Regions for the Conduct of Regional Economic Policy. Canadian Journal of Regional Science, 1980, vol. 3, issue 2, pp. 117–138. 51. Nishida T., Pick J.B., Sarkar A. Japan’s Prefectural Digital Divide: A Multivariate and Spatial Analysis. Telecommunications Policy, 2014, vol. 38, issue 11, pp. 992–1010. 52. Novo-Corti I., Barreiro-Gen M. Public Policies Based on Social Networks for the Introduction of Technology at Home: Demographic and Socioeconomic Profiles of Households. Computer in Human Behavior, 2015, vol. 51, pp. 1216–1228. 53. Otioma C., Madureira A.M., Martinez J. Spatial Analysis of Urban Digital Divide in Kigali, Rwanda. GeoJournal, 2019, vol. 84, pp. 719–741. 54. Parker G.G., van Alstyne M.W., Choudary S.P. Platform Revolution: How Networked Markets Are Transforming the Economy and How to Make Them Work for You. New York: W.W. Norton & Company, 2016, 211 p. 55. Pesotsky А.А. Theoretical Approaches to the Definition of ‘Economic Space’. Voprosy Ekonomiki i Prava = Economic and Law Issues, 2015, no. 82, pp. 41–44. (In Russian). 56. Pick J.B., Sarkar A., Johnson J. United States Digital Divide: State Level Analysis of Spatial Clustering and Multivariate Determinants of ICT Utilization. Socio-Economic Planning Sciences. 2015, vol. 49, pp. 16–32. 57. Polyan P.M. Methodology of Allocation and Analysis of the Settlement Support Frame. Moscow, 1988, 283 p. (In Russian). 58. Psyllidis A., Yang J., Bozzon A. Regionalization of Social Interactions and Points-of-Interest Location Prediction with Geosocial Data. IEEE Access, 2018, vol. 6, pp. 34334–34353. 59. Ratti C., Sobolevsky S., Calabrese F., Andris C., Reades J., Martino M., Claxton R., Strogatz S.H. Redrawing the Map of Great Britain from a Network of Human Interactions. PLoS ONE, 2010, vol. 5, issue 12. e14248. 60. Richardson L. Coordinating the City: Platforms as Flexible Spatial Arrangements. Urban Geography. 2020, vol. 41, issue 3, pp. 458–461. 61. Rodoman B.B. Geography, Zoning, Cartoids. Smolensk, 2007, 368 p. (In Russian). 62. Rossotto C.M., Das P.L., Ramos E.G., Miranda E.C., Badran M.F., Licetti M.M., Murci-ego G.M. Digital Platforms: A Literature Review and Policy Implications for Development. Competition and Regulation in Network Industries, 2018, vol. 19, issue 1–2, pp. 93–109. 63. Ruiz-Rodriguez F., Lucendo-Monedero A.L., Gonzales-Relano R. Measurement and Characterization of the Digital Divide of Spanish Regions at Enterprise Level. A Comparative Analysis with the European Context. Telecommunications Policy, 2018, vol. 42, issue 3, pp. 187–211. 64. Shibusawa H. Cyberspace and Physical Space in an Urban Economy. Papers in Regional Science, 2003, vol. 79, issue 3, pp. 253–270. 65. Shuvalov V.E. Zoning in Russian Socio-Economic Geography: Current State and Directions of Development. Regionalnye Issledovaniya [Regional Researches], 2015, no. 3, pp. 19–29. (In Russian). 66. Singleton A.D., Dolega L., Riddlesden D., Longley P.A. Measuring the Spatial Vulnerabili-ty of Retail Centers to Online Consumption through a Framework of e-Resilience. Geoforum, 2016, vol. 69, pp. 5–18. 67. Smirnyagin L.V. Key Issues of Regionalization. Izvestiya RAN. Seriya Geograficheskaya, 2005, no. 1, pp. 5–16. (In Russian). 68. Sobolevsky S., Szell M., Campari R., Couronne T., Smoreda Z., Ratti C. Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries. PLoS ONE, 2013, vol. 8, issue 12. e81707. 69. Socio-Economic Geography: Concepts and Terms. Reference Dictionary. Edited by A.P. Gorkin. Smolensk, 2013, 328 p. (In Russian). 70. Song Z., Liu W., Ma L., Dunford M. Measuring Spatial Differences of Informatization in China. Chinese Geographical Science, 2014, vol. 24, issue 6, pp. 717–731. 71. Stallkamp M., Schotter A. Platform without Borders? The International Strategies of Digital Platform Firms. Global Strategy Journal, 2021, vol. 11, issue 1, pp. 58–80. 72. Suarez-Eiroa B., Fernandez E., Mendez-Martinez G., Soto-Onate D. Operational Principles of Circular Economy for Sustainable Development: Linking Theory and Practice. Journal of Cleaner Production, 2019, vol. 214, pp. 952–961. 73. Tao J., Ho C.-Y., Luo S., Sheng Y. Agglomeration Economies in Creative Industries. Regio-nal Science and Urban Economics, 2019, vol. 77, pp. 141–154. 74. Tiwana A. Platform Ecosystems: Aligning Architecture, Governance, and Strategy. Waltham: Morgan Kaufmann, 2014, 299 p. 75. Tobler W.A. Computer Movie Simulating Urban Growth in the Detroit Region. Economic Geography, 1970, vol. 46, issue 2, pp. 234–240. 76. Wang B., Tian J., Cheng L., Hao F., Han H., Wang S. Spatial Differentiation of Digital Economy and its Influencing Factors in China. Scientia Geographica Sinica, 2018, vol. 38, issue 6, pp. 859–868. 77. Wang F., Liu C., Xu Y. Analyzing Population Density Disparity in China with GIS-Automated Regionalization: The Hu Line Revisited. Chinese Geographical Science, 2019, vol. 29, pp. 541–552. 78. Wicht A., Kropp P., Schwengler B. Are Functional Regions More Homogeneous than Administrative Regions? A Test Using Hierarchical Linear Models. Papers in Regional Science, 2020, vol. 99, issue 1, pp. 135–164. 79. Yacobi-Keller U., Savin E., Fabian B., Ermakova T. Towards Geographical Analysis of the Autonomous System Network. International Journal of Networking and Virtual Organisations, 2019, vol. 21, issue 3, pp. 379–397. 80. Zamyatin D.N. Scientific Concepts and Scientific Paradigms in the Field of Economic Zoning of Russia and the USSR (1870–1941). Geografiya i Prirodnye Resursy, 2000, no. 1, pp. 5–9. (In Russian). 81. Zamyatin D.N. Scientometric Analysis of the History of the Development of Economic Zoning of Russia and the USSR (1761–1941). Izvestiya RAN. Seriya Geograficheskaya, 1993, no. 4, pp. 116–124. (In Russian). 82. Zhang G., Zhou W., Hu X., Xue Y., Wu X., Li T., Liao Z., Xiao H. Economic Regionalization Based on Order-Preserving Submatrix. Procedia Computer Science, 2014, vol. 30, pp. 39–49. |
| Financing | The research was carried out at the expense of the state assignment (topic registration number АААА-А21-121012190018-2) |
| Submitted | 11.02.2022 |
| Approved after reviewing | 18.03.2022 |
| Accepted for publication | 08.04.2022 |
| Available online | 30.06.2022 |