Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)

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Global study on the Measurement and Spatial Variation Characteristics of the Level of Development of Digital Trade

Authors
Hao Xiong1, Tiantian Lou1, *
1School of Business, Henan University of Science and Technology, Luoyang, 471023, China
*Corresponding author. Email: 230320291539@stu.haust.edu.cn
Corresponding Author
Tiantian Lou
Available Online 20 April 2026.
DOI
10.2991/978-94-6239-640-1_25How to use a DOI?
Keywords
Digital Trade; Spatiotemporal volution; Markov Chain
Abstract

Digital trade has emerged as a key driver of global economic growth and the transformation of international trade structures. Drawing on data from 67 countries (2014–2022), this study develops a multidimensional evaluation system covering digital innovation, skills, trade scale, infrastructure, trust and risk, barriers, and trade environment. Using the entropy weight-TOPSIS method to measure national digital trade development levels, and integrating the Dagum Gini coefficient decomposition, spatial convergence models, and Markov chain analysis, we systematically examine its spatiotemporal dynamics. Findings reveal:(1)an overall upward trend with distinct spatial heterogeneity—Asia leads while Africa lags; (2) convergence in overall disparity, marked by declining inter-regional contributions and rising hypervariable density, reflecting intensified cross-regional interplay; (3) significant σ- and absolute β-convergence across most regions except North America and Africa, alongside pervasive conditional β-convergence; and (4) strong path dependence and stability in development states, where transitions occur only between adjacent tiers and are significantly influenced by neighboring regions’ development levels.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
20 April 2026
ISBN
978-94-6239-640-1
ISSN
2352-5428
DOI
10.2991/978-94-6239-640-1_25How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hao Xiong
AU  - Tiantian Lou
PY  - 2026
DA  - 2026/04/20
TI  - Global study on the Measurement and Spatial Variation Characteristics of the Level of Development of Digital Trade
BT  - Proceedings of the 2026 5th International Conference on Big Data Economy and Digital Management (BDEDM 2026)
PB  - Atlantis Press
SP  - 265
EP  - 275
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-640-1_25
DO  - 10.2991/978-94-6239-640-1_25
ID  - Xiong2026
ER  -