An Economic Analysis of Digital Trade Development Between China and Countries Along the Belt and Road
- DOI
- 10.2991/978-94-6463-636-9_14How to use a DOI?
- Keywords
- digital Silk Road; digital trade; gravity model; empirical analysis
- Abstract
The development of digital trade between countries along the Belt and Road is an indispensable path for promoting high-quality foreign trade. This paper is based on the panel data of different types of digital trade between China and countries along the Belt and Road from 2010 to 2019. Moreover, the four distinct types of Silk Road countries are examined, and variables pertaining to the evolution of digital commerce are added to an expanded gravity model, which allows for an empirical comparison of the imbalance in the impact of digital trade exports between China and the Silk Road countries. Moreover, the findings reveal that there is a discernible gradation in the level of cooperation between China and the countries along the Silk Road, and there is a substantial structural imbalance in the number of trade exports, which may ultimately result in trade imbalance and escalate international friction in the long run.
- Copyright
- © 2024 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
TY - CONF AU - Shuli Song AU - Xinyi Gong PY - 2024 DA - 2024/12/31 TI - An Economic Analysis of Digital Trade Development Between China and Countries Along the Belt and Road BT - Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024) PB - Atlantis Press SP - 139 EP - 151 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-636-9_14 DO - 10.2991/978-94-6463-636-9_14 ID - Song2024 ER -