Economic-Geographical Study of the Big Data Industry in the Internet-of-Everything Era: Promising Directions
DOI:
https://doi.org/10.52575/2712-7443-2024-48-3-318-331Keywords:
digital economy, the Internet of things, agglomeration, information development, spatial diffusion, distributed computing, production placementAbstract
Currently, the big data industry is emerging on the Internet of Things platform, which has not yet been comprehended from the standpoint of economic geography. The Internet of Everything is expected to be deployed in the next decade. Therefore, the purpose of our study was to determine the future directions of the economic-geographical study of the big data industry based on a comparison of the key parameters for the Internet of Everything that determine the specifics of data generation with the heuristic potential of economic geography. The author's semantic search algorithm in international bibliographic databases was used to select publications on the subject under consideration. Promising areas were identified with the help of comparative analysis. A brief description of big data, the Internet of Everything, and the big data industry is given. It is established that in economic geography there are concepts and algorithms that make it possible to begin studying the big data industry within the framework of five directions, which with some preliminary conditionality are called “agglomeration”, “information-development”, “spatial-diffusion”, “foggy-distribution” and “production-placement”. An assumption is made about further unification of these directions into a single – “district-level” – meta-direction.
Acknowledgment: The article was prepared based on the results of research carried out at the expense of budgetary funds under the state assignment of the Sochava Institute of Geography SB RAS (registration number of the topic AAAA-A21-121012190018-2)
Downloads
References
Блануца В.И. 2016. Развертывание информационно-коммуникационной сети как географический процесс (на примере становления сетевой структуры сибирской почты). Москва, ИНФРА-М, 246 с.
Блануца В.И. 2018. Социально-экономическое районирование в эпоху больших данных. Москва, ИНФРА-М, 194 с.
Блануца В.И. 2019. Информационно-сетевая география. Москва, ИНФРА-М, 243 с. https://doi.org/10.12737/monography_5cff8bcec8c6d5.00839612
Блануца В.И. 2022. Общественная география: цифровые приоритеты XXI века. Москва, ИНФРА-М, 252 с.
Дмитриевский А., Еремин Н. 2023. Нефтегазовая экономика больших высокочастотных данных. Информационные ресурсы России, 6(195): 4–25. https://doi.org/10.52815/0204-3653_2023_6195_4
Коптева Н.П. 2023. Индустрия больших данных: государственная политика Китая в области регулирования больших данных. Право и государство: теория и практика, 11(227): 226–231. https://doi.org/10.47643/1815-1337_2023_11_226
Космачев К.П. 1974. Пионерное освоение тайги (экономико-географические проблемы). Новосибирск, Наука, 144 с.
Akamatsu T., Mori T., Osawa M., Takayama Y. 2017. Spatial Scale of Agglomeration and Dispersion: Theoretical Foundation and Empirical Implications. Tokyo, The Research Institute of Economy, Trade and Industry, 92 p.
Alvarez León L.F. 2018. Information Policy and the Spatial Constitution of Digital Geographic Information Markets. Economic Geography, 94(3): 217–237. https://doi.org/10.1080/00130095.2017.1388161
Amoore L. 2018. Cloud Geographies: Computing, Data, Sovereignty. Progress in Human Geography, 42(1): 4–24. https://doi.org/10.1177/0309132516662147
Atkins E. 2021. Tracing the “Cloud”: Emergent Political Geographies of Global Data Centers. Political Geography, 86: 102306. https://doi.org/10.1016/j.polgeo.2020.102306
Badshah A., Iwendi C., Jalal A., Ul Hasan S.S., Said G., Band S.S., Chang A. 2022. Use of Regional Computing to Minimize the Social Big Data Effects. Computers and Industrial Engineering, 171: 108433. https://doi.org/10.1016/j.cie.2022.108433
Baslé M. 2021. “Smarter Cities” Attractive Testing New Criteria or Facets: “Data Scientists” and “Data Platforms”. Journal of Knowledge Economics, 12: 268–278. https://doi.org/10.1007/s13132-016-0398-0
Cavanillas J.M., Curry E., Wahlster W. 2016. New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe. Cham, Springer, 313 p.
Cheng C., Shi P., Song C., Gao J. 2018. Geographic Big-Data: A New Opportunity for Geography Complexity Study. Acta Geographica Sinica, 73(8): 1397–1406. https://doi.org/10.11821/dlxb201808001
Corradini C., Folmer E., Rebmann A. 2022. Listening to the Buzz: Exploring the Link Between Firm Creation and Regional Innovative Atmosphere as Reflected by Social Media. Environmental and Planning A: Economy and Space, 54(2): 347–369. https://doi.org/10.1177/0308518X211056653
De Mauro A., Greco M., Grimaldi M. 2016. A Formal Definition of Big Data Based on Its Essential Features. Library Review, 65(3): 122–135. https://doi.org/10.1108/LR-06-2015-0061
Dey N., Shinde G., Mahalle P., Olesen H. 2019. The Internet of Everything: Advances, Challenges and Applications. Berlin, Boston, Walter de Gruyter, 184 p.
Di Martino B., Li K.-C., Yang L.T., Esposito A. 2018. Internet of Everything: Algorithms, Methodologies, Technologies and Perspectives. Singapore, Springer, 236 p.
Evans D. 2012. The Internet of Everything: How More Relevant and Valuable Connections Will Change the World. San Jose, Cisco, 9 p.
Florida R., Adler P. 2022. Locational Strategy: Understanding Location in Economic Geography and Corporate Strategy. Global Strategy Journal, 12(3): 472–487. https://doi.org/10.1002/gsj.1456
García-Muñiz A.S., Vicente M.R. 2017. Assessing the Economic Potential of Big Data Industry. In: Catalyzing Development through ICT Adoption. Cham, Springer: 255–271.
Greco L., Maresca P., Caja J. 2019. Big Data and Advanced Analytics in Industry 4.0: A Comparative Analysis Across the European Union. Procedia Manufacturing, 41: 383–390. https://doi.org/10.1016/j.promfg.2019.09.023
Hagerstrand T. 1967. Innovation Diffusion as a Spatial Process. Chicago, The University of Chicago Press, 350 p.
Hahmann S., Burghard D. 2013. How Much Information is Geospatially Referenced? Networks and Cognition. International Journal of Geographical Information Science, 27(6): 1171–1189. https://doi.org/10.1080/13658816.2012.743664
Hasenburg J., Bermbach D. 2020. GeoBroker: Leveraging Geo-Contexts for IoT Data Distribution. Computer Communications, 151: 473–484. https://doi.org/10.1016/j.comcom.2020.01.015
He J., Wang C., Chen H. 2021. New Engine to Promote Big Data Industry Upgrade. In: Intelligent Computing. Proceedings of the 2021 Computing Conference Cham, Springer, 2: 232–248.
He J., Peng J., Zeng G. 2023. The Spatiality of the Creative Digital Economy: Local Amenities to the Spatial Agglomeration of Creative E-Freelancers in China. Journal of the Knowledge Economy, 14: 10886. https://doi.org/10.1007/s12132-022-01088-6
Ikegwu A.C., Nweke H.F., Anikwe C.V., Alo U.R., Okonkwo O.R. 2022. Big Data Analytics for Data-Driven Industry: A Review of Data Sources Tools, Challenges, Solution and Research. Cluster Computing, 25: 3343–3387. https://doi.org/10.1007/s10586-022-03568-5
Jiang X., Wang X., Ren J. 2023. Digital Economy, Agglomeration, and Entrepreneurship in Chinese Cities. Managerial and Decision Economics, 44(1): 359–370. https://doi.org/10.1002/mde.3686
Karagiannis V., Schulte S. 2021. Distributed Algorithms Based on Proximity for Self-Organizing fog Computing Systems. Pervasive and Mobile Computing, 71: 101316. https://doi.org/10.1016/j.pmcj.2020.101316
Kellerman A. 1993. Telecommunications and Geography. London, Belhaven Press, 230 p.
Kheybari S., Monfared M.D., Farazmand H., Rezaei J. 2020. Sustainable Location Selection of Data Centers: Developing a Multi-Criteria Set-Covering Decision-Making Methodology. International Journal of Information Technology and Decision Making, 19(3): 741–773. https://doi.org/10.1142/S0219622020500157
Khurshid M.M., Zakaria N.H., Rashid A., Kazmi R., Shafique M.N., Ahmad M.N. 2019. Analyzing Diffusion Patterns of Big Open Data as Policy Innovation in Public Sector. Computers and Electrical Engineering, 78: 148–161. https://doi.org/10.1016/j.compeleceng.2019.07.010
Kitchin R. 2014. The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. Los Angeles, SAGE Publ., 222 p.
Kumari A., Tanwar S., Tyagi S., Kumar N. 2019. Verification and Validation Techniques for Streaming Big Data Analytics in Internet of Things Environment. IET Networks, 8(3): 155–163. https://doi.org/10.1049/iet-net.2018.5187
Laney D. 2001. 3D Data Management: Controlling Data Volume, Velocity and Variety. Stamford, META Group, 3 p.
Lee J.-G., Kang M. 2015. Geospatial Big Data: Challenges and Opportunities. Big Data Research, 2(2): 74–81. https://doi.org/10.1016/j.bdr.2015.01.003
Li P., Fu H., Li Y. 2022. Core Industry Agglomeration of Digital Economy and Green Total Factor Productivity: Evidence from China. E&M Economics and Management, 25(4): 40–57. https://doi.org/10.15240/tul/001/2022-4-003
Lima D., Miranda H. 2022. A Geographical-Aware State Deployment Service for Fog Computing. Computer Networks, 216: 109208. https://doi.org/10.1016/j.comnet.2022.109208
Liu C.H., Rosenthal S.S., Strange W.C. 2018. The Vertical City: Rent Gradients, Spatial Structure, and Agglomeration Economies. Journal of Urban Economics, 106(4): 101–122. https://doi.org/10.1016/j.jue.2018.04.001
Lu Y., Cao K. 2019. Spatial Analysis of Big Data Industrial Agglomeration and Development in China. Sustainability, 11(6): 1783. https://doi.org/10.3390/su11061783
Lu Y., Zheng X. 2020. 6G: A Survey on Technologies, Scenarios, Challenges, and the Related Issues. Journal of Industrial Information Integration, 19: 100158. https://doi.org/10.1016/j.jii.2020.100158
Lv X., Liu C. 2022. Inner Mongolia Big Data Industry’s Development Status and Its Active Promotion to the Construction of China – Mongolia – Russia Economic Corridor. In: Advances in Intelligent Data Analysis and Applications: Smart Innovation, Systems and Technologies. Singapore, Springer: 55–64.
Micheni E.M. 2015. Diffusion of Big Data and Analytics in Developing Countries. The International Journal of Engineering and Science, 4(8): 44–50.
Olaleye S.A., Mogaji E., Agbo F.J., Ukpabi D., Adusei G. 2023. The Composition of Data Economy: A Bibliometric Approach and TCCM Framework of Conceptual, Intellectual and Social Structure. Information Discovery and Delivery, 51(2): 223–240. https://doi.org/10.1108/IDD-02-2022-0014
Pei T., Liu Y., Guo S., Shu H., Du Y., Ma T., Zhou C. 2019. Principle of Big Geodata Mining. Acta Geographica Sinica, 74(3): 586–598. https://doi.org/10.11821/dlxb201903014
Porter M.E. 1996. Competitive Advantage, Agglomeration Economies, and Regional Policy. International Regional Science Review, 19(1–2): 85–94.
Puga D. 2009. The Magnitude and Causes of Agglomeration Economies. Journal of Regional Science, 50(1): 203–219.
Rawat K.S., Sood S.K. 2021. Emerging Trends and Global Scope of Big Data Analytics: A Scientometric Analysis. Quality and Quantity: International Journal of Methodology, 55(4): 1371–1396. https://doi.org/10.1007/s11135-020-01061-y
Russo M., Caloffi A., Colovic A., Pavone P., Romeo S., Rossi F. 2022. Mapping Regional Strengths in a Key Enabling Technology: The Distribution of Internet of Things competences across European regions. Papers in Regional Science, 101(4): 875–900. https://doi.org/10.1111/pirs.12679
Silva D.S., Holanda M. 2022. Applications of Geospatial Big Data in the Internet of Things. Transactions in GIS, 26 (1): 41–71. https://doi.org/10.1111/tgis.12846
Tan K.H., Ji G., Lim C.P., Tseng M.-L. 2017. Using Big Data to Make Better Decisions in the Digital Economy. International Journal of Production Research, 55(17): 4998–5000. https://doi.org/10.1080/00207543.2017.1331051
Tang C. 2016. The Data Industry: The Business and Economics of Information and Big Data. Hoboken, John Wiley & Sons, 216 p.
Tranos E. 2013. The Geography of the Internet: Cities, Regions and the Internet Infrastructure in Europe. Berlin, Edward Elgar Publ., 252 p.
Want R., Schilit B.N., Jenson S. 2015. Enabling the Internet of Things. Computer, 48(1): 28–35. https://doi.org/10.1109/MC.2015.12
Xu J., Li A., Chung C.K.L., Yue Y. 2023. Mapping the Unmapped: Investigating Big Data Companies Via Online Sources. The Professional Geographer, 75: 2169175. https://doi.org/10.1080/00330124.2023.2169175
Yaseen H.K., Obaid A.M. 2020. Big Data: Definition, Architecture and Applications. International Journal on Informatics Visualization, 4(1): 45–51. https://doi.org/10.30630/joiv.4.1.292
Yu R., Ding J., Maharjan S., Gjessing S., Zhang Y., Tsang D.H.K. 2018. Decentralized and Optimal Resource Cooperation in Geo-Distributed Mobile Cloud Computing. IEEE Transactions on Emerging Topics in Computing, 6(1): 72–84. https://doi.org/10.1109/TETC.2015.2479093
Abstract views: 34
Share
Published
How to Cite
Issue
Section
Copyright (c) 2024 Regional Geosystems
This work is licensed under a Creative Commons Attribution 4.0 International License.
