Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)

<Previous Article In Volume
Next Article In Volume>

An Empirical Evidence: Research on the Relationship Between Artificial Intelligence and Productivity Convergence

Authors
Jiamin Yu1, *, Yan Sen2
1School of Humanities and Social Sciences, Macao Polytechnic University, Macao, China
2School of Economic and Management, Southeast University, Jiangsu, China
*Corresponding author. Email: p2209639@mpu.edu.mo
Corresponding Author
Jiamin Yu
Available Online 21 November 2024.
DOI
10.2991/978-94-6463-574-4_10How to use a DOI?
Keywords
artificial intelligence (AI); productivity convergence; measurement; the Solow paradox
Abstract

The development of artificial intelligence (AI) presents unprecedented opportunities for comprehensive economic growth and productivity improvement. This paper reviews recent development trends of AI and the factors influencing productivity convergence. We focused on the current state of research on AI’s impact on productivity convergence and identified the strengths and weaknesses of related studies. From empirical evidence, this paper uses text analysis methods to measure the AI level of Chinese listed companies from 2001 to 2021, and verifies the positive role of AI at the enterprise level on productivity and address to overcomes the “Solow Paradox”. Meanwhile this paper examining the impact of AI development at the enterprise level on the TFP convergence of Chinese listed companies, validating the role of AI in balanced and high-quality productivity development, and providing effective solutions to promote the integration of AI and industrial development.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
21 November 2024
ISBN
978-94-6463-574-4
ISSN
2667-128X
DOI
10.2991/978-94-6463-574-4_10How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Jiamin Yu
AU  - Yan Sen
PY  - 2024
DA  - 2024/11/21
TI  - An Empirical Evidence: Research on the Relationship Between Artificial Intelligence and Productivity Convergence
BT  - Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)
PB  - Atlantis Press
SP  - 80
EP  - 92
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-574-4_10
DO  - 10.2991/978-94-6463-574-4_10
ID  - Yu2024
ER  -