Первый закон Тоблера в цифровой экономике на основе Интернета всего: первоочередные вопросы

  • Viktor Ivanovich Blanutza Институт географии им. В. Б. Сочавы Сибирского отделения РАН, Иркутск, Россия http://orcid.org/0000-0003-3958-216X
DOI: https://doi.org/10.17072/1994-9960-2023-2-151-175

Аннотация

Введение. Американский исследователь У. Тоблер сформулировал «первый закон географии», соединив местоположение с процессом взаимодействия экономических агентов. На этой основе создавался пространственный анализ и идентифицировались пространственные взаимодействия в эпоху до Интернета. Однако развитие информационно-коммуникационных технологий поставило под сомнение значимость местоположения и географического расстояния в формирующейся цифровой экономике на основе Интернета людей. После научной дискуссии по этой проблематике и проведения эмпирических исследований установлено, что современная цифровая экономика, в том числе создаваемая на основе Интернета вещей, в определенной мере зависит от реального географического пространства. Дальнейшее развитие технологий ведет к тому, что в следующем десятилетии сформируется цифровая экономика на основе Интернета всего. В настоящее время нет данных о том, как будут осуществляться взаимодействия между пространственно распределенными экономическими агентами в будущем цифровом мире.

Цель. Формулировка вопросов по первому закону Тоблера, будущие ответы на которые позволят подтвердить или опровергнуть гипотезу существования пространственных взаимодействий в цифровой экономике на основе Интернета всего.

Результаты. Для достижения поставленной цели проанализирован первый закон Тоблера, что в отечественной научной литературе сделано впервые, сформулированы основные следствия и неопределенности этого закона, уточнено понятие «пространственное взаимодействие», приведена краткая характеристика Интернета вещей и Интернета всего, представлены контуры будущей цифровой экономики и сформулированы основные вопросы.

Выводы. Представлены семь вопросов, ответы на которые позволят с разных сторон подойти к идентификации пространственных взаимодействий через межмашинное взаимодействие, охват всех видов экономической деятельности, географическую близость к конечному потребителю, гравитационное взаимодействие, экономико-географическое положение, экономическое районирование и пространственную автокорреляцию.

Ключевые слова: цифровая экономика, беспроводная связь, пространственное взаимодействие, экономический агент, Интернет вещей, Интернет всего, экономико-географическое положение, гравитационная модель, экономическое районирование, прост­ранственная автокорреляция

Список источников

  1. Бухт Р., Хикс Р. Определение, концепция и измерение цифровой экономики // Вестник международных организаций. 2018. Т. 13, № 2. С. 143–172. https://doi.org/10.17323/1996-7845-2018-02-07
  2. Goliński M. Digital economy, information economy, knowledge-based economy: Different definitions of the same phenomena or similar concepts defining different phenomena? // Collegium of Economic Analysis Annals. No. 49. P. 177–190.
  3. Белоусов Ю. В., Тимофеева О. И. Методология определения цифровой экономики // Мир новой экономики. 2019. Т. 13, № 4. С. 79–89. https://doi.org/26794/2220-6469-2019-13-4-79-89
  4. Дьяченко О. В. Дефиниция категории «цифровая экономика» в зарубежной и отечественной экономической науке // Экономическое возрождение России. 2019. № 1. С. 86–98.
  5. Клочкова Е. Н., Прохоров П. Е. Определение цифровой экономики для целей статистического исследования // Вопросы статистики. 2020. Т. 27, № 4. С. 66–79. https://doi.org/10.34023/2313-6383-2020-27-4-66-79
  6. Williams L. D. Concepts of digital economy and Industry 4.0 in intelligent and information systems // International Journal of Intelligent Networks. 2021. Vol. 2. P. 122–129. https://doi.org/10.1016/j.ijin.2021.09.002
  7. Tapscott D. The Digital Economy: Promise and Peril in the Age of Networked Intelligence. New York: McGraw-Hill, 1994. 368 p.
  8. Sturgeon T. J. Upgrading strategies for the digital economy // Global Strategy Journal. 2021. Vol. 11, issue 1. P. 34–57. https://doi.org/10.1002/gsj.1364
  9. Di Martino B., Li K.-C., Yang L. T., Esposito A. (Eds.) Internet of Everything: Algorithms, Methodologies, Technologies and Perspectives. Singapore: Springer, 2018. 236 p.
  10. Sheth K., Patel K., Shah H., Tanwar S., Gupta R., Kumar N. A taxonomy of AI techniques for 6G communication networks // Computer Communications. 2020. Vol. 161. P. 279–303. https://doi.org/10.1016/j.comcom.2020.07.035
  11. Da Costa V. C. F., Oliveira L., de Souza J. Internet of Everything (IoE) taxonomies: A survey and a novel knowledge-based taxonomy // Sensors. 2021. Vol. 21, issue 2. e568. https://doi.org/10.3390/s21020568
  12. Guo F., Yu F. R., Zhang H., Li X., Ji H., Leung V. C. M. Enabling massive IoT toward 6G: A comprehensive survey // IEEE Internet of Things Journal. 2021. Vol. 8, issue 15. P. 11891–11915. https://doi.org/10.1109/JIOT.2021.3063686
  13. Prateek K., Ojha N. K., Altaf F., Maity S. Quantum secured 6G technology-based applications in Internet of Everything // Telecommunication Systems. 2023. Vol. 82. P. 315–344. https://doi.org/10.1007/s11235-022-00979-y
  14. Fujita Spatial interactions and agglomeration in urban economies // Chatterji M., Kuenne R. E. (Eds.). New Frontiers in Regional Science. London: Palgrave Macmillan, 1990. P. 184–221. https://doi.org/10.1007/978-1-349-10633-2_14
  15. Wang J. Economic geography: Spatial Interaction // Richardson D., Castree N., Goodchild M. F., Kobayashi A., Liu W., Marston R. A. (Eds.). The International Encyclopedia of Geography: People, the Earth, Environment and Technology. Chichester: John Wiley & Sons, 2017. Vol. 13. e0641. https://doi.org/10.1002/9781118786352.wbieg0641
  16. Tobler W. R. A Computer movie simulating urban growth in the Detroit region // Economic 1970. Vol. 46. P. 234–240. https://doi.org/10.2307/143141
  17. Fotheringham A., O’Kelly M. E. Spatial Interaction Models: Formulations and Applications. New York: Springer, 1989. 224 p.
  18. O’Brien R. Global Financial Integration: The End of Geography. London: Royal Institute of International Affairs, 1992. 120 p.
  19. Cairncross F. The Death of Distance: How the Communications Revolution Will Change Our Lives. Boston: Harvard Business School Press, 1997. 303 p.
  20. Graham S. The end of geography or the explosion of place? Conceptualizing space, place and information technology // Progress in Human Geography. 1998. Vol. 22, no. 2. P. 165–185.
  21. Olson G. M., Olson J. S. Distance matters // Human-Computer Interaction. 2000. Vol. 15. P. 139–178. https://doi.org/1207/S15327051HCI1523_4
  22. Greig J. M. The end of geography? Globalization, communications, and culture in the international system // Journal of Conflict Resolution. 2002. Vol. 46, issue 2. P. 225–243. https://doi.org/10.1177/0022002702046002003
  23. Morgan K. The exaggerated death of geography: Learning, proximity and territorial innovation systems // Journal of Economic Geography. 2004. Vol. 4, issue 1. P. 3–21. http://dx.doi.org/10.1093/jeg/4.1.3
  24. Lendle A., Olarreaga M., Schropp S., Vézina P.-L. There goes gravity: EBay and the death of distance // The Economic Journal. 2016. Vol. 126, issue 591. P. 406–441. https://doi.org/10.1111/ecoj.12286
  25. Stallkamp M., Schotter A. P. J. Platform without borders? The international strategies of digital platform firms // Global Strategy Journal. 2021. Vol. P. 58–80. https://doi.org/10.1002/gsj.1336
  26. Li F., Chen Y., Liu L., Zhuang M. Do cross-national distances still affect the international penetration speed of digital innovation? The role of the global network effect // Heliyon. 2023. Vol. 9, issue 3. e13911. https://doi.org/10.1016/j.heliyon.2023.e13911
  27. Aslesen H. W., Martin R., Sarbo S. The Virtual is reality! On physical and virtual space in software firms’ knowledge formation // Entrepreneurship and Regional Development. 2019. Vol. 31, issue 9–10. 669–682. https://doi.org/10.1080/08985626.2018.1552314
  28. Lutz S. U. The European digital single market strategy: Local indicators of spatial association 2011–2016 // Telecommunications Policy. 2019. Vol. 43, issue 5. P. 393–410. https://doi.org/10.1016/j.telpol.2018.10.003
  29. Ding C., Liu C., Zheng C., Li F. Digital economy, technological innovation and high-quality economic development: Based on spatial effect and mediation effect // Sustainability. 2022. Vol. 14, issue 1. e216. https://doi.org/10.3390/su14010216
  30. Wang H., Hu X., Ali N. Spatial characteristics and driving factors toward the digital economy: Evidence from prefecture-level cities in China // Journal of Asian Finance, Economics and Business. 2022. Vol. 9, issue 2. P. 419–426. https://doi.org/10.13106/jafeb.2022.vol9.no2.0419
  31. Zhu W., Chen J. The spatial analysis of digital economy and urban development: A case study in Hangzhou, China // Cities. 2022. Vol. 123. e103563. https://doi.org/10.1016/j.cities.2022.103563
  32. Chen Y., Xu S., Lyulyov O., Pimonenko T. China’s digital economy development: Incentives and challenges // Technological and Economic Development of Economy. 2023. Vol. 29, no. 2. P. 518–538. https://doi.org/10.3846/tede.2022.18018
  33. Roy J. R., Thill J. Spatial interaction modelling // Florax R. J. G. M., Plane D. A. (Eds.). Fifty Years of Regional Science. Berlin; Heidelberg: Springer, 2004. P. 339–361. https://doi.org/10.1007/978-3-662-07223-3_15
  34. Pooler J. An extended family of spatial interaction models // Progress in Human Geography. 1994. Vol. 18, issue 1. P. 17–39. https://doi.org/10.1177/030913259401800102
  35. Dobkins L. H., Ioannides Y. M. Spatial interactions among U.S. cities: 1900–1990 // Regional Science and Urban Economics. 2001. Vol. 31, issue 6. P. 701–731. https://doi.org/10.1016/S0166-0462(01)00067-9
  36. Tan R., Zhou K., He Q., Xu H. Analyzing the effects of spatial interaction among city clusters on urban growth – Case of Wuhan urban agglomeration // Sustainability. 2016. Vol. 8, issue 8. e759. https://doi.org/10.3390/su8080759
  37. Ferraresi M. Political cycles, spatial interactions and yardstick competition: Evidence from Italian cities // Journal of Economic Geography. 2020. Vol. 20, issue 4. P. 1093–1115. http://dx.doi.org/10.1093/jeg/lbz036
  38. Mosconi E. M., Colantoni A., Gambella F., Cudlinová E., Salvati L., Rodrigo-Comino J. Revisiting the environmental Kuznets сurve: The spatial interaction between economy and territory // Economies. 2020. Vol. 8, issue 3. e74. https://doi.org/10.3390/economies8030074
  39. Kivi L. H., Paas T. Spatial Interactions of employment in European labour markets // Eastern Journal of European Studies. 2021. Vol. 12. P. 196–211. https://doi.org/10.47743/ejes-2021-SI09
  40. Kim J. S., Patacchini E., Picard P. M., Zenou Y. Spatial Interactions (IZA DP No. 15376). Bonn: IZA Institute of Labor Economics, 2022. 60 p.
  41. Bergstrand J. H. The gravity equation in international trade: Some microeconomic foundations and empirical evidence // The Review of Economics and Statistics. 1985. Vol. 67, no. 3. P. 474–481. https://doi.org/2307/1925976
  42. Anderson J. E. The gravity model // Annual Review of Economics. 2011. Vol. 3. P. 133–160. https://doi.org/10.1146/annurev-economics-111809-125114
  43. Nijkamp P., Ratajczak W. Gravitational analysis in regional science and spatial economics: A vector gradient approach to trade // International Regional Science Review. 2021. Vol. 44, issue 3–4. P. 400–431. https://doi.org/10.1177/0160017620980519
  44. Nadal J. R., Gallego M. S. Gravity models for tourism demand modeling: Empirical review and outlook // Journal of Economic Surveys. 2022. Vol. 36, issue 5. P. 1358–1409. https://doi.org/10.1111/joes.12502
  45. Capoani L. Review of the gravity model: Origins and critical analysis of its theoretical development // SN Business and Economics. 2023. Vol. 3. e95. https://doi.org/10.1007/s43546-023-00461-0
  46. Fotheringham A. S., Brunsdon C., Charlton M. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Chichester: John Wiley & Sons, 2002. 269 p.
  47. Lu B., Charlton M., Harris P., Fotheringham A. S. geographically weighted regression with a non-euclidean distance metric: A case study using hedonic house price data // International Journal of Geographical Information Science. 2014. Vol. 28, issue 4. P. 660–681. https://doi.org/10.1080/13658816.2013.865739
  48. Fotheringham A. S., Yang W., Kang W. Multiscale geographically weighted regression (MGWR) // Annals of the American Association of Geographers. 2017. Vol. 107, issue 6. P. 1247–1265. https://doi.org/10.1080/24694452.2017.1352480
  49. Kim M.-K., Graefe D. Geographically weighted regression to explore spatially varying relationships of recreation resource impacts: A case study from Adirondack Park, New York, USA // Journal of Park and Recreation Administration. 2021. Vol. 39, no. 2. P. 43–63. https://doi.org/10.18666/JPRA-2020-10515
  50. Klippel A., Hardisty F., Li R. Interpreting spatial patterns: An inquiry into formal and cognitive aspects of Tobler’s first law of geography // Annals of the Association of American Geographers. 2011. 101, issue 5. P. 1011–1031. https://doi.org/10.1080/00045608.2011.577364
  51. Mitchell R., Lee D. Is there really a “wrong side of the tracks” in urban areas and does it matter for spatial analysis? // Annals of the Association of American Geographers. 2014. Vol. 104, issue 3. P. 432–443. https://doi.org/10.1080/00045608.2014.892321
  52. Huang H.-C., Hung C.-F., Peng C.-L., Liao T.-H. Business income tax from profit-seeking enterprises and spatial autocorrelation: Do local economic characteristics matter? // Land. 2022. Vol. 11, issue 9. e1533. https://doi.org/10.3390/land11091533
  53. Longley P. A., Goodchild M. F., Maguire D. J., Rhind D. W. (Eds.) Geographic Information Systems and Science. 4th Ed. New York: Wiley, 2015. 496 p.
  54. Блануца В. И. Пространственная диффузия цифровых инноваций: тренды, проблемы и перспективы эмпирических исследований // Пространственная экономика. 2021. Т. 14, № 4. С. 118–142. https://doi.org/10.14530/se.2021.4.118-142
  55. Блануца В. И. Районирование цифрового экономического пространства: контуры формирующихся подходов // Пространственная экономика. 2022. Т. 18, № 2. С. 56–82. https://doi.org/10.14530/se.2022.2.056-082
  56. Lu Y., Cao K. Spatial analysis of big data industrial agglomeration and development in China // Sustainability. 2019. Vol. 11, issue 6. e1783. https://doi.org/10.3390/su11061783
  57. Corradini C., Santini E., Vecciolini C. The geography of Industry 4.0 technologies across European regions // Regional Studies. 2021. Vol. 55, issue 10– P. 1667–1680. https://doi.org/10.1080/00343404.2021.1884216
  58. Russo M., Caloffi A., Colovic A., Pavone P., Romeo S., Rossi F. Mapping regional strengths in a key enabling technology: The distribution of Internet of Things competences across European regions // Papers in Regional Science. 2022. Vol. 101, issue 4. P. 875–900. https://doi.org/10.1111/pirs.12679
  59. Li X. The first law of geography and spatial-temporal proximity // Chinese Journal of Nature. 2007. Vol. 29, issue 2. P. 69–71.
  60. Grasland C. Spatial analysis of social facts // Bavaud F., Mager C. (Eds.). Handbook of Theoretical and Quantitative Geography. Lausanne: University of Lausanne, 2009. P. 117–174.
  61. Sun J., Pan Y., He R., Liu H., Chang N., Liu S., Li H. The enlightenment of geographical theories construction from the first law of geography and its debate // Geographical Research. 2012. Vol. 31, issue 10. P. 1737–1748. https://doi.org/10.11821/yj2012100001
  62. Westlund H. A Brief history of time, space, and growth: Waldo Tobler’s first law of Geography revisited // The Annals of Regional Science. Vol. 51, no. 3. P. 917–924. https://doi.org/10.1007/s00168-013-0571-3
  63. Sui D. Z. Tobler’s first law of geography: A big idea for a small world? // Annals of the Association of American Geographers. 2004. Vol. 94, issue 2. P. 269–277. https://doi.org/10.1111/j.1467-8306.2004.09402003.x
  64. Waters N. Tobler’s first law of geography // Richardson D., Castree N., Goodchild M. F., Kobayashi A., Liu W., Marston R. A. (Eds.). The International Encyclopedia of Geography: People, the Earth, Environment and Technology. Chichester: John Wiley & Sons, 2017. Vol. 13. e1011. https://doi.org/10.1002/9781118786352.wbieg1011
  65. Murray A. T., Xu J., Baik J., Burtner S., Cho S., Noi E., Pludow B. A., Zhou E. Overview of contributions in geographical analysis: Waldo Tobler // Geographical Analysis. 2020. Vol. 52, issue 4. P. 480–493. https://doi.org/10.1111/gean.12257
  66. Manning N., Li Y., Liu J. Broader applicability of the metacoupling framework than Tobler’s first law of geography for global sustainability: A systematic review // Geography and Sustainability. 2023. Vol. 4, issue 1. P. 6–18. https://doi.org/10.1016/j.geosus.2022.11.003
  67. Bergmann L., O’Sullivan D. Reimagining GIScience for relational spaces // The Canadian Geographer. 2018. Vol. 62, issue 1. P. 7–14. https://doi.org/10.1111/cag.12405
  68. Anselin L., Li X. Tobler’s law in multivariate world // Geographical Analysis. 2020. Vol. 52, issue 4. P. 494–510. https://doi.org/10.1111/gean.12237
  69. Agyemang F., Silva E., Amedzro K. The emergence of city-regions and their implications for contemporary spatial governance: Evidence from Ghana // Cities. 2017. Vol. 71. P. 70–79. https://doi.org/10.1016/j.cities.2017.07.009
  70. Church R. L. Tobler’s Law and spatial optimization: Why Bakersfield? // International Regional Science Review. 2018. Vol. 41, issue 3. P. 287–310. https://doi.org/10.1177/0160017616650612
  71. Joo D., Woosnam K. M., Shafer C. S., Scott D., An S. Considering Tobler’s first law of geography in a tourism context // Tourism Management. 2017. Vol. 62. P. 350–359. https://doi.org/10.1016/j.tourman.2017.03.021
  72. Lv Z., Zhang P., Benediktsson J. A. Automatic object-oriented, spectral-spatial feature extraction driven by Tobler’s first law of geography for very high resolution aerial imagery classification // Remote Sensing. 2017. Vol. 9, issue 3. e285. https://doi.org/10.3390/rs9030285
  73. Zheng B., Lin X., Yin D., Qi X. Does Tobler’s first law of geography apply to Internet attention? A case study of the Asian Elephant northern migration event // PLoS ONE. 2023. Vol. 18, no. 3. e0282474. https://doi.org/10.1371/journal.pone.0282474
  74. Lengyel B., Varga A., Ságvári B., Jakobi Á., Kertész J. Geographies of an online social network // PLoS ONE. 2015. Vol. 10, no. 9. e0137248. https://doi.org/10.1371/journal.pone.0137248
  75. Laniado D., Volkovich Y., Scellato S., Mascolo C., Kaltenbrunner A. The impact of geographic distance on online social interactions // Information Systems Frontiers. 2018. Vol. 20, no. 6. P. 1203–1218. https://doi.org/10.1007/s10796-017-9784-9
  76. Hecht B., Moxley E. Terabytes of Tobler: Evaluating the first law in a massive, domain-neutral representation of world knowledge // Proceedings of the 9th International Conference on Spatial Information Theory. Heidelberg: Springer, 2009. P. 88–105. https://doi.org/10.1007/978-3-642-03832-7_6
  77. Han S. Y., Tsou M. H., Clarke K. C. Revisiting the death of geography in the era of big data: The friction of distance in cyberspace and real space // International Journal of Digital Earth. 2018. Vol. 11, no. 5. P. 451–469. https://doi.org/10.1080/17538947.2017.1330366
  78. Li W., Hsu C. Y., Hu M. Tobler’s first law in GeoAI: A spatially explicit deep learning model for terrain feature detection under weak supervision // Annals of the American Association of Geographers. 2021. Vol. 111, issue 7. P. 1887–1905. https://doi.org/10.1080/24694452.2021.1877527
  79. Van der Zee E., Scholten H. Spatial dimensions of big data: Application of geographical concepts and spatial technology to the Internet of Things // Bessis N. Dobre C. (Eds.). Big Data and Internet of Things: A Roadmap for Smart Environments. Springer Cham, P. 137–168. https://doi.org/10.1007/978-3-319-05029-4_6
  80. Блануца В. И. Общественная география: цифровые приоритеты XXI века. М.: ИНФРА-М, 2022. 252 с.
  81. Bazargani J. S., Sadeghi-Niaraki A., Choi S.-M. A survey of GIS and IoT integration: Applications and architecture // Applied Sciences. 2021. Vol. 11, issue 21. e10365. https://doi.org/10.3390/app112110365
  82. Cao H., Wachowicz M. The design of an IoT-GIS platform for performing automated analytical tasks // Computers, Environment and Urban Systems. 2019. Vol. 74. P. 23–40. https://doi.org/10.1016/j.compenvurbsys.2018.11.004
  83. Kamilaris A., Ostermann F. Geospatial analysis and the Internet of Things // International Journal of Geo-Information. 2018. Vol. 7, issue 7. e269. https://doi.org/10.3390/ijgi7070269
  84. Silva D. S., Holanda M. Applications of geospatial big data in the Internet of Things // Transactions in GIS. 2022. Vol. 26, issue 1. P. 41–71. https://doi.org/10.1111/tgis.12846
  85. Alvarez León L. F. Property regimes and the commodification of geographic information: An examination of Google street view // Big Data and Society. 2016. Vol. 3, no. 2. P. 1–13. https://doi.org/1177/2053951716637885
  86. Alvarez León L. F., Gleason C. J. Production, property, and the construction of remotely sensed data // Annals of the American Association of Geographers. 2017. Vol. 107, issue 5. P. 1075–1089. https://doi.org/10.1080/24694452.2017.1293498
  87. Alvarez León L. F. Information policy and the spatial constitution of digital geographic information markets // Economic Geography. 2018. 94, issue 3. P. 217–237. https://doi.org/10.1080/00130095.2017.1388161
  88. Walker R. T. Geography, Von Thunen, and Tobler’s first law: Tracing the evolution of a concept // Geographical Review. 2022. Vol. 112, issue 4. P. 591–607. https://doi.org/10.1080/00167428.2021.1906670
  89. Zhu R., Janowicz K., Mai G. Making direction a first-class citizen of Tobler’s first law of geography // Transactions in GIS. 2019. Vol. 23, issue P. 398–416. https://doi.org/10.1111/tgis.12550
  90. Goodchild M. F. The validity and usefulness of laws in geographic information science and geography // Annals of the Association of American Geographers. Vol. 94, issue 2. P. 300–303. https://doi.org/10.1111/j.1467-8306.2004.09402008.x
  91. Tobler W. R. On the first law of geography: A reply // Annals of the Association of American 2004. Vol. 94, issue 2. P. 304–310. https://doi.org/10.1111/j.1467-8306.2004.09402009.x
  92. Foresmann T., Luscombe R. The second law of geography for a spatially enabled economy // International Journal of Digital Earth. 2017. Vol. 10, issue 10. P. 979–995. https://doi.org/10.1080/17538947.2016.1275830
  93. Zhu A., Lu G., Liu J., Qin C.-Z., Zhou C. Spatial prediction based on third law of geography // Annals of GIS. 2018. Vol. 24, issue P. 225–240. https://doi.org/10.1080/19475683.2018.1534890
  94. Баранский Н. Н. Избранные труды. Становление экономической географии. М.: Мысль, 1980. 287 с.
  95. Колосовский Н. Н. Теория экономического районирования. М.: Мысль, 1969. 336 с.
  96. Blanutsa V. I. Economic-geographical location: generalization of conceptual frameworks and generation of new meanings // Geography and Natural Resources. 2015. No. 4. P. 319–326. https://doi.org/10.1134/S1875372815040010
  97. Блануца В. И. Социально-экономическое районирование в эпоху больших данных. М.: ИНФРА-М, 2018. 194 с.
  98. Want R., Schilit B. N., Jenson S. Enabling the Internet of Things // Computer. 2015. Vol. 48, issue 1. P. 28–35. https://doi.org/10.1109/MC.2015.12
  99. Evans D. The Internet of Things. How the Next Evolution of the Internet Is Changing Everything? San Jose: Cisco Systems, 2011. 11 p.
  100. Sorri K., Mustafee N., Seppänen M. Revisiting IoT definitions: A framework towards comprehensive use // Technological Forecasting and Social Change. 2022. Vol. 179. e121623. https://doi.org/10.1016/j.techfore.2022.121623
  101. Gubbi J., Buyya R., Marusic S., Palaniswami M. Internet of Things (IoT): A vision, architectural elements, and future direction // Future Generation Computer Systems. 2013. Vol. 29, issue 7. P. 1645–1660. https://doi.org/10.1016/j.future.2013.01.010
  102. Al-Fuqaha A., Guizani M., Mohammadi M., Aledhari M., Ayyash M. Internet of Things: A survey on enabling technologies, protocols, and applications // IEEE Communications Surveys and Tutorials. 2015. Vol. 17, issue 4. P. 2347–2376. https://doi.org/10.1109/COMST.2015.2444095
  103. Madakam S., Ramaswamy R., Tripathi S. Internet of Things (IoT): A literature review // Journal of Computer and Communications. 2015. Vol. 3, no. 5. e164. https://doi.org/10.4236/jcc.2015.35021
  104. Asghari P., Rahmani A. M., Javadi H. H. S. Internet of Things application: A systematic review // Computer Networks. 2019. Vol. 148. P. 241–261. https://doi.org/10.1016/j.comnet.2018.12.008
  105. Wang J., Lim M. K., Wang C., Tseng M.-L. The evolution of the Internet of Things (IoT) over the past 20 years // Computers and Industrial Engineering. 2021. Vol. 155. e107174. https://doi.org/10.1016/j.cie.2021.107174
  106. Laghari A. A., Wu K., Laghari B. A., Ali M., Khan A. A. A Review and state of art of Internet of Things (IoT) // Archives of Computational Methods in Engineering. 2022. Vol. 29. P. 1395–1413. https://doi.org/10.1007/s11831-021-09622-6
  107. Lu Y., Zheng X. 6G: A Survey on technologies, scenarios, challenges, and the related issues // Journal of Industrial Information Integration. 2020. Vol. 19. e100158. https://doi.org/10.1016/j.jii.2020.100158
  108. Younis M. Internet of Everything and everybody: Architecture and service virtualization // Computer Communications. 2018. Vol. 131. P. 66–72. https://doi.org/10.1016/j.comcom.2018.07.008
  109. Dey N., Shinde G., Mahalle P., Olesen H. (Eds.). The Internet of Everything: Advances, Challenges and Applications. Berlin; Boston: Walter de Gruyter GmbH, 2019. 184 p.
  110. Friday E. A., Shomope A., Adebowale A. G. Internet of Everything: A global solution to digital world // Journal of Computer Science and Technology Studies. 2021. Vol. 3, no. 2. P. 44–49. https://doi.org/10.32996/jcsts.2021.3.2.4
  111. Aujla G. S., Garg S., Kaur K., Sikdar B. (Eds.). Software Defined Internet of Everything. Springer Cham, 2022. 302 p.
  112. Xue J., Li Z., Wang X., Ji Y. Dynamic evaluation and spatial characteristics of smart manufacturing capability in China // Sustainability. 2022. Vol. 14, issue 17. e10733. https://doi.org/10.3390/su141710733
  113. Balland P. A., Boschma R. Mapping the potentials of regions in Europe to contribute to new knowledge production in Industry 4.0 technologies // Regional Studies. 2021. Vol. 55, issue 10–11. P. 1652–1666. https://doi.org/10.1080/00343404.2021.1900557
  114. Fraske T. Industry 4.0 and its geographies: A systematic literature review and the identification of new research avenues // Digital Geography and Society. 2022. Vol. 3. e100031. https://doi.org/1016/j.diggeo.2022.100031
  115. Nick G., Várdego T., Nagy C., Szaller A. The territorial contexts of Industry 4.0 in Hungary, the present and future challenges and expectations of the digital ecosystem // DETUROPE – The Central European Journal of Regional Development and Tourism. 2019. Vol. 11, no. 3. P. 29–58.
  116. Bettiol M., Capestro M., De Marchi V., Di Maria E., Sedita S. R. Industrial districts and the fourth industrial revolution // Competitiveness Review: An International Business Journal. 2020. Vol. 31, issue 1. P. 12–26. https://doi.org/10.1108/CR-12-2019-0155
  117. Lima D., Miranda H. A Geographical-aware state deployment service for fog computing // Computer Networks. 2022. Vol. 216. e109208. https://doi.org/10.1016/j.comnet.2022.109208
  118. Crespo J. Agencies, scales and times of path creation: The case of IoT in Toulouse // Regional Science Policy and Practice. Vol. 13, issue 5. P. 1527–1545. https://doi.org/10.1111/rsp3.12390
  119. Блануца В. И. Географическое изучение платформенной экономики: существующие и возможные подходы // Известия РАН. Серия географическая. 2022. Т. 86, № 2. С. 155–167. https://doi.org/31857/S2587556622020030
  120. Amoore L. Cloud geographies: Computing, data, sovereignty // Progress in Human Geography. 2018. Vol. 42, issue 1. P. 4–24. https://doi.org/10.1177/0309132516662147
  121. Hasenburg J., Bermbach D. GeoBroker: Leveraging geo-contexts for IoT data distribution // Computer Communications. 2020. Vol. 151. P. 473–484. https://doi.org/10.1016/j.comcom.2020.01.015
  122. Kim M.-S. Research issues and challenges related to Geo-IoT platform // Spatial Information Research. 2018. Vol. 26, no. 1. P. 113–126. https://doi.org/10.1007/s41324-017-0161-z
  123. Korte A., Tiberius V., Brem A. Internet of Things (IoT) technology research in business and management literature: Results from a co-citation analysis // Journal of Theoretical and Applied Electronic Commerce Research. 2021. Vol. 16, issue 6. P. 2073–2090. https://doi.org/10.3390/jtaer16060116
  124. Langley D. J., van Doorn J., Ng I. C. L., Stieglitz S., Lazovik A., Boonstra A. The Internet of Everything: Smart things and their impact on business models // Journal of Business Research. 2021. Vol. 122. P. 853–863. https://doi.org/10.1016/j.jbusres.2019.12.035
  125. Rejeba A., Suhaiza Z., Rejeb K., Seuring S., Treiblmaier H. The Internet of Things and the circular economy: A systematic literature review and research agenda // Journal of Cleaner Production. 2022. Vol. 350. e131439. https://doi.org/10.1016/j.jclepro.2022.131439
  126. Alsamhi S. H., Ma O., Ansari M. S., Meng Q. Greening Internet of Things for greener and smarter cities: A survey and future prospects // Telecommunication Systems. 2019. Vol. 72, no. 4. P. 609–632. https://doi.org/10.1007/s11235-019-00597-1
  127. Szum K. IoT-based smart cities: A bibliometric analysis and literature review // Engineering Management in Production and Services. 2021. Vol. 13, no. 2. P. 115–136. http://dx.doi.org/10.2478/emj-2021-0017
  128. Tirandazi P., Bamakan S. M. H., Toghroljerdi A. A review of studies of Internet of Everything as an enabler of neuromarketing methods and techniques // The Journal of Supercomputing. 2023. Vol. 79. P. 7835–7876. https://doi.org/10.1007/s11227-022-04988-1
  129. Li C., Cai Q., Lou Y. Optimal data placement strategy considering capacity limitation and load balancing in geographically distributed cloud // Future Generation Computer Systems. 2022. Vol. 127. P. 142–159. https://doi.org/10.1016/j.future.2021.08.014
  130. Islam M. M., Ramezani F., Lu H. Y., Naderpour M. Optimal placement of applications in the fog environment: A systematic literature review // Journal of Parallel and Distributed Computing. 2023. Vol. 174. P. 46–69. https://doi.org/10.1016/j.jpdc.2022.12.001
  131. Friedman T. L. The World Is Flat: A Brief History of the Twenty-First Century. New York: Farrar, Straus & Giroux, 2005. 488 p.
  132. Parker G. G., van Alstyne M. W., Choudary S. 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.
  133. Блануца В. И. Территориальная структура цифровой экономики России: предварительная делимитация «умных» городских агломераций и регионов // Пространственная экономика. № 2. С. 17–35. https://doi.org/10.14530/se.2018.2.017-035
  134. Anderson J. E. Theoretical foundation for the gravity equation // American Economic Review. 1979. Vol. 69, no. 1. P. 106–116.
  135. Anderson J. E., van Wincoop E. Gravity with gravitas: A solution to the border puzzle // American Economic Review. Vol. 93, no. 1. P. 170–192. https://doi.org/10.1257/000282803321455214
  136. Блануца В. И., Черепанов К. А. Цифровая экономика Иркутской области: гравитационная модель полюсов роста // Инновационное развитие экономики. 2019. № 6. С. 27–34.
  137. Metin I., Tepe G. Gravity model: A bibliometric analysis and detailed overview // International Journal of Business and Society. 2021. Vol. 22, no. 1. P. 365–381. https://doi.org/10.33736/ijbs.3183.2021
  138. Hellwig V. Digital gravity? Firm birth and relocation patterns of young digital firms in Germany // Journal of Regional Science. 2023. Vol. 63, issue 2. P. 340–378. https://doi.org/10.1111/jors.12624
  139. Yang C., An T. The Internet Reshapes China’s economic geography: Micromechanisms and macro effects // China Political Economy. 2020. Vol. 3, issue 2. P. 341–365. https://doi.org/10.1108/CPE-10-2020-0014
  140. Harris A. Vertical urbanisms: Opening up geographies of the three-dimensional city // Progress in Human Geography. Vol. 39, issue 5. P. 601–620. https://doi.org/10.1177/0309132514554323
  141. Anselin D. Local indicators of spatial association – LISA // Geographical Analysis. 1995. Vol. 27, issue 2. P. 93–115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
  142. Xu Z., Ci F. Spatial-temporal characteristics and driving factors of coupling coordination between the digital economy and low-carbon development in the Yellow river basin // Sustainability. Vol. 15, issue 3. e2731. https://doi.org/10.3390/su15032731

Сведения об авторе

Viktor Ivanovich Blanutza, Институт географии им. В. Б. Сочавы Сибирского отделения РАН, Иркутск, Россия

Доктор географических наук, эксперт РАН по экономическим наукам, ведущий научный сотрудник Института географии им. В. Б. Сочавы Сибирского отделения Российской академии наук (Россия, 664033, г. Иркутск, ул. Улан-Баторская, 1); blanutsa@list.ru

Опубликована
2023-06-30
Как цитировать
Blanutza V.I. Первый закон Тоблера в цифровой экономике на основе Интернета всего: первоочередные вопросы // Вестник Пермского университета. Серия «Экономика» = Perm University Herald. ECONOMY. 2023. Том 18. № 2. С. 151–175. doi: 10.17072/1994-9960-2023-2-151-175
Форматы библиографических ссылок
Выпуск
Том 18 № 2 (2023)
Раздел
Экономическая теория