The ongoing digital transformation provides an infrastructural basis for multi-level networking. The United States and China as the leaders in designing long-term social and economic development strategies pay serious attention to technological sovereignty and sustainable interaction between the corporate and public sectors that are impossible without reliable digital infrastructure. Digital platforms have become its most important component, creating prerequisites for the formation and development of various network structures. The paper discusses the subordinate effects resulting from the development of digital platforms as part of digitalization. Today, global value chains are being transformed, changing the global reproduction system; the reproduction process is also influenced by digital transformation; technological development and innovations bring new opportunities and transform all aspects of socioeconomic interaction. The methodological basis of the study is constituted by the system approach, comparative analysis and statistical methods. The paper examines the prospects of digital platforms in the PRC both for the national economy and international cooperation and proposes guidelines on their strategic development. It describes the specific features of financing their formation and systematizes the characteristics of networking in the sphere of e-commerce, cloud services and investment cooperation. Addressing the social aspect of using digital platforms, the study emphasizes the importance of social monitoring and migration controls that give the country a competitive advantage in developing and testing the technologies involved. It also shows that platform employment and digital poverty create multidirectional trends affecting the country’s economic development.
Идентификаторы и классификаторы
Rapid industrial development of the PRC in the 1970–1980s and its transformation into the the world’s workshop proceeded at the time when internet networks were emerging. By the late 1990s, the largest Chinese platforms had started to operate. They facilitated aggregation of data on production and wholesale trade primarily of industrial products; this served the interests of the state that felt the need to introduce systems of both strategic and indicative planning to bring management processes to a new qualitative level.
Список литературы
- Antipina, O.N. (2020). Platforms as multilateral markets of the digitalization era. World Economy and International Relations, 64(3), 12–19. (In Russian). https://doi.org/10.20542/0131-2227-2020-64-3-12-19
- Baden-Fuller, C., & Mangematin, V. (2013). Business models: A challenging agenda. Strategic Organization, 11(4), 418-427. https://doi.org/10.1177/1476127013510112
- BCS-Express. (2023). Alibaba. Recovery of domestic demand. https://bcs-express.ru/novosti-i-analitika/alibaba-vosstanovlenie-vnutrennego-sprosa
- Belretail. (2021). The share of e-commerce in China’s retail sales will exceed 50% in 2021. https://belretail.by/news/dolya-e-commerce-v-roznichnyih-prodajah-v-kitae-prevyisit-v-godu
- Bobkov, V.N., & Chernykh, E.A. (2020). Platform Employment: Scales and Signs of Instability. The world of the new economy, 14(2), 6–15. (In Russian). https://doi.org/10.26794/2220-6469-2020-14-2-6-15
- Buck, A. (2024). eCommerce Market Size by Country. MobiLoud. https://www.mobiloud.com/blog/ecommerce-market-size-by-country Companies Market Cap. (2024). Largest Chinese companies by market capitalization. https://companiesmarketcap.com/china/largest-companies-in-china-by-market-cap/
- Danilin, I.V. (2019). The development of the digital economy of the United States and the PRC: factors and trends. Contours of global transformations: politics, economics, law, 12(6), 246–267. (In Russian). https://doi.org/10.23932/2542-0240-2019-12-6-12
- Digital Russia. (2018). The Digital Economy Subcommittee approved the definition of digital platforms. https://d-russia.ru/na-podkomissii-po-tsifrovoj-ekonomike-odobrili-opredelenie-tsifrovyh platform.html
- Dini, P., Iqani, M., & Mansell, R. (2011). The (im)possibility of interdisciplinarity: lessons from constructing a theoretical framework for digital ecosystems. Culture, Theory and Critique, 52(1), 3–27. https://doi.org/10.1080/14735784.2011.621668
- Eckhardt, J.T., Ciuchta, M.P., & Carpenter, M. (2018). Open innovation, information, and entrepreneurship within platform ecosystems. Strategic entrepreneurship journal, 12(3), 369–391. https://doi.org/10.1002/sej.1298
- Fehrer, J.A., Woratschek, H., & Brodie, R.J. (2018). A systemic logic for platform business models. Journal of Service Management, 29(4), 546–568. https://doi.org/10.1108/JOSM-02-2017-0036
- Gasparenienea, L., Remeikienea, R., & Schneiderb, F. (2015). The factors of digital shadow consumption. Intellectual Economics, 9(2), 108–119. https://doi.org/10.1016/j.intele.2016.02.002
- Gawer, A., & Cusumano, M. (2014). Industry platforms and ecosystem innovation. Journal of Product Innovation Management, 31(3), 417–433. https://doi.org/10.1111/jpim.12105
- Geliskhanov, I.Z., Yudina, T.N., & Babkin, A.V. (2018). Digital platforms in the economy: essence, models, development trends. Scientific and Technical Vedomosti SPbSPU. Economic Sciences, 11(6), 22–36. (In Russian). https://doi.org/10.18721/JE.11602
- Gershman, M., Klypin A., Ivanova, I., & Bredikhin, S. (2022). China’s Science and Technology Policy: Toward Global Leadership. HSE. https://issek.hse.ru/news/688845347.html
- Golovenchik, G.G. (2018). Rating analysis of the level of digital transformation of the EAEU and EU economies. Digital Transformation, 2(3), 5–18. (In Russian).
- Hein, A., Schreieck, M., & Riasanow, T. (2019) Digital platform ecosystems. Electronic Markets, 30, 1–12. https://doi.org/10.1007/s12525-019-00377-4 HSE. (2021). Digital ecosystems. https://hsbi.hse.ru/articles/tsifrovye-ekosistemy/ International Trade Administration. (2023). China — eCommerce. https://www.trade.gov/country-commercial-guides/china-ecommerce
- Ivanova, I., Demidkina, O., & Privorotskaya, S. (2023). China: top 15 technology trends in digital transformation. HSE. https://issek.hse.ru/news/860964524.html
- Israilova, E.A., & Balanova, M.M. (2020) On the role of the state in regulating the activities of platform companies by the example of the PRC. Bulletin of Rostov State University of Economics, 2(70), 191–198. (In Russian).
- Johnson, M.W., Christensen, C.M., & Kagermann, H. (2008). Reinventing your business model. Harvard Business Review, 86 (12), 57–68.
- Katz, M.L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American economic review, 75(3), 424–440.
- Kheyfets, B.A. (2020). What route will Russia take along one difficult Chinese path: Scientific report. Institute of Economics of the Russian Academy of Sciences
- Kovalev, A.A., & Knyazeva, E.Yu. (2021). The system of social credit in the PRC: the experience of political science analysis. State and Municipal Management. Academic Notes, 1, 191–198. (In Russian). https://doi.org/10.22394/2079-1690-2021-1-1-191-198
- Lee, S., Kim, H., Kim, J., & Choi, J. (2019). China’s Internet Plus Strategy: Characteristics and regional case study. KIEP: World Economy Brief, 9(23), 1–5.
- Li, W., Badr, Y., & Biennier, F. (2012). Digital ecosystems: challenges and prospects. In proceedings of the international conference on management of Emergent Digital EcoSystems, 117–122.
- Maslov, A.A. (2021). Dynamics of internal migration and the problem of development of northeastern regions of China in 2010–2020. Population, 24(3), 135–150. (In Russian). https:// doi.org/10.19181/population.2021.24.3.11
- Moazed, A., & Johnson, N. L. (2016). Modern Monopolies: What It Takes to Dominate the 21st Century Economy. St. Martin’s Publishing Group.
- Mootee, I. (2008). What’s the difference between platform strategy vs. business strategy vs. product strategy? FutureLab. https://www.futurelab.net/blog/2008/05/whats-difference-betweenplatform- strategy-vs-business-strategy-vs-product-strategy Nexus Group. (2024). Alibaba Cloud. https://www.nexusgroup.com/partner/alibaba-cloud
- Nielsen, C., & Lund, M. (2014). An introduction to business models. In The basics of business models, 8–20.
- Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform Revolution: How Networked Markets Are Transforming the Economy and How to Make Them Work for You. W. W. Norton & Company.
- Polozhikhina, M. A. (2018). National models of digital economy. ESPR, 1, 111–154 (In Russian).
- Rochet, J.-C., & Tirole, J. (2003). Platform Competition in Two-Sided Markets. Journal of the European Economic Association, 1(4), 990–1029. https://doi.org/10.1162/154247603322493212
- Rochet, J.-C., & Tirole, J. (2011). Must-take cards: merchant discounts and avoided costs. Journal of the European Economic Association, 9(3), 462–495. https://doi.org/10.1111/j.1542- 4774.2011.01020.x
- Selin, A. (2016). Digital business models: the main trend of the modern market. Digest of news of the world of high technologies, 5, 1–14. (In Russian).
- Solomatina, A. R. (2021). Digital Silk Road as a component of the initiative “One Belt - One Road”. Post-Soviet Studies, 4(4), 296–307. (In Russian). https://doi.org/10.24412/2618-7426-2021-4-296- 307
- Srnicek, N. (2017). Platform Capitalism. Cambridge: Polity Press.
- Statcounter Global Stats. (2024). Search Engine Market Share China. https://gs.statcounter.com/search-engine-market-share/all/china
- TAdviser. (2023). Cloud services (China market) https://www.tadviser.ru/index.php/Статья:Облачные_сервисы_(рынок_Китая)
- TAdviser. (2024a). Tencent. https://www.tadviser.ru/index.php/Компания:Tencent_Holdings
- TAdviser. (2024b). Censorship (control) on the Internet. China’s experience. https://www.tadviser.ru/index.php/Статья:Цензура_(контроль)_в_интернете._Опыт_Китая
- Wang, X., Lin, X., & Spencer, C. (2019). Exploring the effects of extrinsic motivation on consumer behaviors in social commerce: Revealing consumers’ perceptions of social commerce benefits. International Journal of Information Management, 45, 163–175. https://doi.org/10.1016/j.ijinfomgt.2018.11.010
- World Economic Forum. (2019). Explained role of China’s state-owned companies. https://www.weforum.org/agenda/2019/05/why-chinas-state-owned-companies-still-have-a-key-role-to-play/
- Zhang, L., & Chen, S. (2019). China’s Digital Economy: Opportunities and Risks. Bulletin of International Organizations, 14(2), 275–303. (In Russian). https://doi.org/10.17323/1996-7845-2019-02-11
- Zuboff, S. (2015). Big Other: Surveillance Capitalism and the Prospects of an Information Civilization. Journal of Information Technology, 30, 75–89. https://doi.org/10.1057/jit.2015.5
- Zuo, M. (2024). China’s gig workers becoming new normal, but ‘inevitable trend’ comes with a burden. South China Morning Post. https://www.scmp.com/economy/economic indicators/article/3269601/chinas-gig-workers-becoming-new-normal-inevitable-trend-comes-burden
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