Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025)

<Previous Article In Volume
Next Article In Volume>

The Impact of Artificial Intelligence on Green Innovation Efficiency

Authors
Junjie Yin1, *
1China Economic and Management Academy, Central University of Finance and Economics, Beijing, 100098, China
*Corresponding author. Email: 2024312413@email.cufe.edu.cn
Corresponding Author
Junjie Yin
Available Online 22 December 2025.
DOI
10.2991/978-94-6463-916-2_58How to use a DOI?
Keywords
Green innovation efficiency; Artificial intelligence; Super-SBM model; System GMM; Panel data; China
Abstract

Green innovation efficiency (GIE) is a critical component in achieving sustainable development. Against the backdrop of global low-carbon development, the rapid advancement of artificial intelligence (AI) offers new opportunities to enhance green innovation efficiency. This study aims to investigate the impact of AI on GIE. I conducted a scientific measurement of GIE using panel data from 30 Chinese provinces over the period 2000–2023. Applying the Super-SBM model, I incorporated both positive outputs and negative outputs to provide a comprehensive assessment of GIE. This research constructs both static panel regression models and a system GMM dynamic model. The core independent variable is the number of AI enterprises (AI). Estimations were conducted using ordinary least squares (OLS), fixed effects, random effects, and system GMM methods. Empirical findings reveal a significantly negative relationship between AI development and GIE. The system GMM results confirm the robustness of this conclusion. This study also provides the heterogeneous effects of AI across different regions, which shows that in the western region, an increase in the number of AI enterprises significantly reduces green innovation efficiency. Conversely, the effects in the northeastern, eastern, and central regions are not statistically significant.

Copyright
© 2025 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 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
22 December 2025
ISBN
978-94-6463-916-2
ISSN
2352-5428
DOI
10.2991/978-94-6463-916-2_58How to use a DOI?
Copyright
© 2025 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  - Junjie Yin
PY  - 2025
DA  - 2025/12/22
TI  - The Impact of Artificial Intelligence on Green Innovation Efficiency
BT  - Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025)
PB  - Atlantis Press
SP  - 543
EP  - 552
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-916-2_58
DO  - 10.2991/978-94-6463-916-2_58
ID  - Yin2025
ER  -