Research on the Driving Mechanism of Digital Economyon Industrial Upgrading: Empirical analysis based on Provincial Panel Data in China
- DOI
- 10.2991/978-94-6463-108-1_77How to use a DOI?
- Keywords
- Digital Economy; Urbanization; Industrial Upgrading
- Abstract
Digital technologies are driving transformative change, China’s economic paradigms are shifting. We calculate the digital economy development index by using the principal component analysis, based on the provincial panel data of China from 2015 to 2020. Then we analyze the impact of digital economy development on the upgrading of industrial structure on the use of fixed effect model and mediating effect model. As a result of the study, the development of digital economy has a significant positive role in promoting the optimization and upgrading of industrial structure, the development of urbanization has a significant partial intermediary effect on the impact of the development of digital economy on the upgrading of industrial structure. We confirmed the necessity of the further development of digital technology. The policymakers need to strengthen the development of regional digital technology, accelerate the construction of regional digital economy, and promote urbanization.
- 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 - Dan Hu AU - Du Lv PY - 2022 DA - 2022/12/30 TI - Research on the Driving Mechanism of Digital Economyon Industrial Upgrading: Empirical analysis based on Provincial Panel Data in China BT - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022) PB - Atlantis Press SP - 690 EP - 699 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-108-1_77 DO - 10.2991/978-94-6463-108-1_77 ID - Hu2022 ER -