Artificial Intelligence, Digital-Real Industry Integration, and Digital Economy Development
- DOI
- 10.2991/978-94-6463-562-1_38How to use a DOI?
- Keywords
- Artificial intelligence; Digital-real industry integration; Digital economy development; Mediation effect
- Abstract
This research comprehensively investigates the influence and mechanism of artificial intelligence on the growth of the digital economy, using panel data from 30 provinces in China spanning from 2012 to 2022. The study findings suggest that artificial intelligence has a beneficial impact on the growth of the digital economy. This conclusion is supported by a number of rigorous tests, including model replacements, changes in calculation methodologies, and variations in sample sizes. Artificial intelligence plays a crucial role in advancing the digital economy by facilitating the merger of digital and physical businesses. Therefore, we propose policy recommendations to expedite the development of artificial intelligence products, prioritize the integration of digital and physical industries, and advance the establishment of digital infrastructure. These recommendations aim to offer innovative approaches for accelerating the growth of the digital economy in different regions.
- 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 - Qi Liu AU - Jian Liu AU - Fei Lei AU - Yongyue Ma PY - 2024 DA - 2024/11/13 TI - Artificial Intelligence, Digital-Real Industry Integration, and Digital Economy Development BT - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024) PB - Atlantis Press SP - 425 EP - 433 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-562-1_38 DO - 10.2991/978-94-6463-562-1_38 ID - Liu2024 ER -