Analysis of the Dynamic Relationship Between Foreign Trade and Technological Innovation Based on VAR Model
- DOI
- 10.2991/978-94-6463-198-2_39How to use a DOI?
- Keywords
- foreign trade; technological innovation; dynamic relationship; entropy weight method; VAR model
- Abstract
Since the reform and opening up, foreign trade has played a significant role in China's economic growth. Based on the relevant data of China from 1995 to 2019, this paper systematically analyses the dynamic relationship between foreign trade and technological innovation by using the vector auto regression model (VAR). The results show that technological progress can significantly promote the export of high-tech products, and high-tech product exports also have a positive impact on technological progress; Technological progress also has a significant role in promoting the export of low technology products. Obviously, the superposition effect of technological progress in different periods will have a profound positive effect on the growth of foreign trade; The impact of foreign trade growth on technology input and output is short-term, weak and unsustainable.
- Copyright
- © 2023 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 - Xianke Li AU - Chongyan Li PY - 2023 DA - 2023/08/10 TI - Analysis of the Dynamic Relationship Between Foreign Trade and Technological Innovation Based on VAR Model BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 380 EP - 388 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_39 DO - 10.2991/978-94-6463-198-2_39 ID - Li2023 ER -