Empirical Analysis of Digital Economy Affecting Industrial Chain Modernisation Based on Panel Regression Model and Threshold Effect Model
- DOI
- 10.2991/978-94-6463-270-5_55How to use a DOI?
- Keywords
- Digital Economy; Industrial Chain Modernization; Threshold Effect Model; Panel Regression Model
- Abstract
This study employs panel data from 2015-2020 to construct a panel regression model as well as a threshold effect model in order to examine the impact of the burgeoning digital economy on the modernization of the industrial chain in China. The results of the study show that the modernisation of the chain is positively influenced by the digital economy, with a nonlinear increasing trend. However, Once the development of the digital economy reaches a threshold, its catalytic effect on the modernization of the industrial chain slightly decreases. This research provides new insights for the exploration of China’s industrial chain modernization and offers a solid theoretical foundation and empirical support for studying the impact of the digital economy on the modernization of the industrial chain.
- 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 - Ping Han AU - Tingting He PY - 2023 DA - 2023/10/29 TI - Empirical Analysis of Digital Economy Affecting Industrial Chain Modernisation Based on Panel Regression Model and Threshold Effect Model BT - Proceedings of the 3rd International Conference on Internet Finance and Digital Economy (ICIFDE 2023) PB - Atlantis Press SP - 490 EP - 497 SN - 2667-1271 UR - https://doi.org/10.2991/978-94-6463-270-5_55 DO - 10.2991/978-94-6463-270-5_55 ID - Han2023 ER -