Shaping the future of application for information and communication technology in national economic analysis

被引:0
作者
Tu X. [1 ]
Li Z. [1 ]
Xie S. [1 ]
Yan R. [1 ]
Zuo K. [1 ]
机构
[1] China Academy of Information and Communications Technology, Beijing
来源
Intelligent and Converged Networks | 2022年 / 3卷 / 03期
关键词
Computing Power Development Index (CPDI); Data Traffic (DT); Gross Domestic Product (GDP); Information and Communication Technology (ICT); Total Telecommunications Business (TTB);
D O I
10.23919/ICN.2022.0019
中图分类号
学科分类号
摘要
Characterized by networking, digitization, and intellectualization, the new generation of Information and Communication Technologies (lCTs) has promoted integration of various national economic industries, with a more significant leading role in the socio-economic development. In order to describe the influence of ICT industries on economic growth, this paper has comprehensively analyzed the contribution mechanism of ICTs to current economy. Crucial indicators, such as Total Telecommunications Business (TTB), Data Traffic (DT), and Computing Power Development Index (CPDI), have been innovatively selected to sufficiently describe the data circulation scale and the processing capacity in the era of digital economy. Based on relevant statistics of 31 provinces (municipalities or autonomous regions) in China from 2011 to 2020, quantitative results have been put forward to interpret the impact of ICT industries on the national economy development by using correlation coefficient analysis and data regression analysis methods. The measurement results show that TTB, DT, and CPDI are positively correlated with the national economic development, indicating that each 1 % increasement of TTB, DT, and CPDI increases Gross Domestic Product (GDP) by 0.08%, 0.09%, and 0.6%, respectively. © 2020 Tsinghua University Press.
引用
收藏
页码:282 / 293
页数:11
相关论文
共 43 条
  • [1] Nath S., Wu J.X., Deep reinforcement learning for dynamic computation offloading and resource allocation in cache-assisted mobile edge computing systems, Intelligent and Converged Networks, 1, 2, pp. 181-198, (2020)
  • [2] Mei J., Wang X.B., Zheng K., An intelligent selfsustained RAN slicing framework for diverse service provisioning in 5G-beyond and 6G networks, Intelligent and Converged Networks, 1, 3, pp. 281-294, (2020)
  • [3] Shafique K., Khawaja B.A., Sabir F., Qazi S., Mustaqim M., Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios, IEEE Access, 8, pp. 23022-23040, (2020)
  • [4] Zhou Z., Chen X., Li E., Zeng L.K., Luo K., Zhang J.S., Edge intelligence: Paving the last mile of artificial intelligence with edge computing, Proc. IEEE, 107, 8, pp. 1738-1762, (2019)
  • [5] Niu Z.S., Shen X.S., Zhang Q.Y., Tang Y.L., Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions, Intelligent and Converged Networks, 1, 2, pp. 142-169, (2020)
  • [6] Parra J., Perez-Pons M.E., Gonzalez J., The impact and correlation of the digital transformation on GDP growth in different regions worldwide, Proc. of the 17th Int. Conf. Distributed Computing and Artificial Intelligence 2020, pp. 182-188, (2021)
  • [7] Guo M., Study of theory and empirical analysis on information industry promotes economic growth in China, (in Chinese), (2005)
  • [8] An analysis of the impact of IT industry on national economy, Economic Research Journal, 12, pp. 17-26, (2001)
  • [9] Zhang Y.S., The driving effects and spillover effects of information industry on economic growth: An empirical research based on a two-sector model, (in Chinese), Proc. Annu. Conf. Chinese Society for Information Economy, pp. 231-241, (2013)
  • [10] Qian L., Deng X.Y., The contribution of communication industry development on economic growth, Information & Communications, 5, pp. 241-242, (2012)