Intelligence-Green Synergy: A New Pattern of Urban Green High-Quality Development Driven by Artificial Intelligence

Yimeng Wang; Yang Han; Leyuan Teng; Yun Bai

doi:10.2991/978-94-6239-758-3_63

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Intelligence-Green Synergy: A New Pattern of Urban Green High-Quality Development Driven by Artificial Intelligence

Authors

Yimeng Wang¹, Yang Han¹, Leyuan Teng¹, Yun Bai¹^{, *}

¹Hebei University of Economics and Business, Shijiazhuang, Hebei Province, China

^*Corresponding author. Email: Betty_bai@whu.edu.cn

Corresponding Author

Yun Bai

Available Online 8 September 2026.

DOI: 10.2991/978-94-6239-758-3_63 How to use a DOI?
Keywords: Artificial intelligence; High-quality green development of cities; Green technological innovation; Industrial structure upgrading
Abstract: As the underlying foundation of the new technological revolution, computer technology has become a core driver of urban green high-quality development integrated with artificial intelligence applications. Based on panel data of 282 Chinese prefecture-level cities from 2007 to 2023, this paper regards the pilot policy of the National New Generation Artificial Intelligence Innovation and Development Pilot Zone as a quasi-natural experiment, and employs a staggered DID model to explore the effect and mechanism of computer technology-driven AI on urban green high-quality development. The results show that advances in computer technology and AI significantly boost urban green high-quality development, which remains robust after parallel trend, PSM-DID and SUTVA tests. Mechanically, computer technology facilitates urban green transformation by promoting green innovation and industrial upgrading. Advancing the R&D and application of computer and AI technologies and embedding them into green innovation and industrial optimization is essential for promoting urban green high-quality development.
Copyright: © 2026 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.

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Volume Title: Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
Series: Advances in Economics, Business and Management Research
Publication Date: 8 September 2026
ISBN: 978-94-6239-758-3
ISSN: 2352-5428
DOI: 10.2991/978-94-6239-758-3_63 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Yimeng Wang
AU  - Yang Han
AU  - Leyuan Teng
AU  - Yun Bai
PY  - 2026
DA  - 2026/09/08
TI  - Intelligence-Green Synergy: A New Pattern of Urban Green High-Quality Development Driven by Artificial Intelligence
BT  - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
PB  - Atlantis Press
SP  - 637
EP  - 648
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-758-3_63
DO  - 10.2991/978-94-6239-758-3_63
ID  - Wang2026
ER  -

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