Empirical Study of the Impact of Cross-Border Data Flow Restrictions on Digital Service Exports
- DOI
- 10.2991/978-94-6463-256-9_137How to use a DOI?
- Keywords
- Cross-border data flow; digital services; cross-border data flow restrictions
- Abstract
China is an important digital industry and data trading power in the world, but compared with the rapid development of data trade, the formulation of China's data trade export rules is far behind. Based on the econometrics model of ITIF, based on the cross-border digital service trade data of OECD member countries, the paper uses the PMR and data restriction index DRI to build the OECD to evaluate the cross-border data flow of the OECD countries; uses the corrected data intensity DIM to evaluate the impact of different industries by cross-border flow of data restrictions; and uses the DRL to evaluate the impact of the specific country-industry level restriction policies. On this basis, the linear regression of the impact of national digital export (trade volume GOV, productivity TFP, price PVA) on the correlation degree of DRL is constructed, and the specific impact of cross-border digital flow policy restrictions on national digital export is studied.
- 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 - Duan Jie AU - Yang Yuchen PY - 2023 DA - 2023/10/09 TI - Empirical Study of the Impact of Cross-Border Data Flow Restrictions on Digital Service Exports BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 1351 EP - 1365 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_137 DO - 10.2991/978-94-6463-256-9_137 ID - Jie2023 ER -