Analysis of the evolution characteristics of international ICT services trade based on complex network

Zhang, Yihan; Xu, Jinwen; Yang, Wancheng

doi:10.1016/j.telpol.2023.102697

Cited by 8 publications

(2 citation statements)

References 67 publications

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“…Given the above, it is paramount to take advantage of the various historical data available to understand the evolution of technological markets and identify possible alternatives for the future. Some works have adopted this approach, as presented in [24], where information from UN COMTRADE was used to create ICT services trade networks spanning the period from 2004 to 2020. The authors employed complex network analysis techniques to explore various facets of ICT services trade, including trade patterns, connections, and the countries involved, aiming to understand the evolving characteristics of the ICT services trade.…”

Section: Related Workmentioning

confidence: 99%

A Techno-Economic Analysis of New Market Models for 5G+ Spectrum Management

Fletscher,

Zuleta,

Galvis

et al. 2024

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While 5G has become a reality in several places around the world, some countries are still in the process of assigning frequency bands and deploying networks. In this context, there is a significant opportunity to explore new market models for the management and utilization of the radio spectrum. Access to the radio spectrum results in diverse competition schemes, where market behavior varies based on the regulator-defined access scheme and the competitive strategies of different actors. To thoroughly analyze potential competition scenarios, this work introduces a model that enhances the comprehension of market variables, emphasizing behaviors influenced by relationships. The model’s development leverages the potential of artificial intelligence and historical data from Colombia’s mobile telecommunications market. Intelligent spectrum sensing, based on Software Defined Radio, augments the model’s construction, utilizing lightweight AI algorithms to acquire real data on spectrum occupancy. In this way, the model provides novel insights into market dynamics, enabling the formulation of informed decision-making policies for regulatory bodies. Additionally, the application of causal machine learning (CausalML) helps understand the underlying causes of market behaviors, facilitating the design of guiding policies to maximize spectrum usage and foster competition. This approach demonstrates how AI-driven approaches and a deeper understanding of market dynamics can lead to effective 5G spectrum management, fostering a more competitive and efficient wireless communication landscape.

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Section: Related Workmentioning

confidence: 99%

A Techno-Economic Analysis of New Market Models for 5G+ Spectrum Management

Fletscher,

Zuleta,

Galvis

et al. 2024

Information

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“…The ICT skills sub-index positively impacts total trade in IT services and travel but negatively affects transport. Zhang & Yang (2024) highlight the profound impact of digital technology on services trade, particularly the rapid growth of international Information and Communications Technology (ICT) services trade. Using UN COMTRADE data, they analyze ICT services trade networks from 2004 to 2020 through complex network analysis methods.…”

Section: Literature Overviewmentioning

confidence: 99%

Comparative Study of Digitalization Impact on Global Goods and Services Markets in Advanced and Developing Economies

Oliinyk

2024

Economics

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In the era of rapid technological progress, the influence of dizitalization on different aspects of international economic activity can’t be overstated. The aim of this article is to conduct a comprehensive comparative study of digitalization’s impact on global goods and services markets, with a specific focus on advanced and developing economies using multiple linear regression. The research methodology involved comprehensive data collection for 35-38 advanced economies and 52-66 developing economies depending on the availability of data. The analysis included depended variables (18 export and import goods sectors and 18 export and import services), independent variables (digitalization, consisting of ICT deployment, ICT export and import, ICT investment variables), control variables such as GDP growth, CPI, trade openness, exchange rate and political stability. The findings demonstrate the ICT infrastructure and ICT exports positive impact on export of technology-intensive goods, such as ores and metals, machinery and equipment, and tools and devices in advanced economies. Digitalization’s positive impact on trade in goods appeared weaker in developing economies, potentially due to lower levels of ICT adoption or differing export focuses. ICT export has positive impact on financial services imports, indicating a reliance on imported financial services while exporting ICT capabilities. The model shows a high success rate depending on variables. The study highlights digitalization’s varied impact on advanced and developing economies, emphasizing its importance for trade, competitiveness and policymakers in the global market.

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Research on the evolution and endogenous mechanism of global hydrogen trade dependence network

Zhang,

Kang

2024

Sustainable Energy Technologies and Assessments

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Analysis of the evolution characteristics of international ICT services trade based on complex network

Cited by 8 publications

References 67 publications

A Techno-Economic Analysis of New Market Models for 5G+ Spectrum Management

A Techno-Economic Analysis of New Market Models for 5G+ Spectrum Management

Comparative Study of Digitalization Impact on Global Goods and Services Markets in Advanced and Developing Economies

Research on the evolution and endogenous mechanism of global hydrogen trade dependence network

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