Research on the Influence of Transnational Technology Merger and Acquisition on the Rate of Domestic Added Value of Chinese Enterprises' Exports
Authors
Zhixian Wang1, *
1School of Economics and Management, Lanzhou University of Technology, Lanzhou, China
*Corresponding author.
Email: 937229458@qq.com
Corresponding Author
Zhixian Wang
Available Online 31 August 2024.
- DOI
- 10.2991/978-94-6463-490-7_34How to use a DOI?
- Keywords
- transnational technology M&A; the rate of domestic added value of enterprises' exports; PSM-DID
- Abstract
As research samples, this paper employs the cross-border technology M&A events of 175 A-share listed companies in Shanghai and Shenzhen from 2007 to 2021. An examination of the effect and process of transnational technology M&A on the rate of domestic added value of enterprises’ exports was conducted through the PSM-DID technique. The research indicates that Chinese transnational technology M&A can improve our country's manufacturing rate of domestic added value of enterprises' exports. In addition, this paper shows that there is heterogeneity of firm ownership, firm factor intensity and location.
- 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 - Zhixian Wang PY - 2024 DA - 2024/08/31 TI - Research on the Influence of Transnational Technology Merger and Acquisition on the Rate of Domestic Added Value of Chinese Enterprises' Exports BT - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024) PB - Atlantis Press SP - 316 EP - 321 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-490-7_34 DO - 10.2991/978-94-6463-490-7_34 ID - Wang2024 ER -