The Impact of Trade Agreements on Exports in the Context of Big Data Japanese Digital Products as An Example
- DOI
- 10.2991/978-94-6463-108-1_46How to use a DOI?
- Keywords
- digital trade rules; digital product export; data flow; depth level of clause
- Abstract
The importance of data in the era of big data has given birth to new forms of digital trade, and cross-border data flow is also an important issue in economic digital trade agreements. Based on the digital product export data from 2011 to 2021, this paper empirically tests the impact of the digital trade agreement between Japan and the sample countries and its depth level on Japan's digital product exports by using STATA data analysis software. The study found that the existence of a digital trade agreement between Japan and the sample countries would significantly promote the export of digital products, but the depth level had a weak inhibitory effect on the export of digital products. This shows that in the construction of digital trade rules, the different demands of "defensive" countries and "offensive" countries for digital trade rules should be considered, and seek common ground while reserving differences, so that the high-level digital trade rules constructed can better promote the development of digital trade.
- Copyright
- © 2022 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 - Xi Yang AU - Tingting Zheng PY - 2022 DA - 2022/12/30 TI - The Impact of Trade Agreements on Exports in the Context of Big Data Japanese Digital Products as An Example BT - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022) PB - Atlantis Press SP - 405 EP - 410 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-108-1_46 DO - 10.2991/978-94-6463-108-1_46 ID - Yang2022 ER -