Digital Industry Agglomeration, Green Technology Innovation and Carbon Productivity
- DOI
- 10.2991/978-94-6463-734-2_66How to use a DOI?
- Keywords
- Digital industry agglomeration; green technology innovation; carbon productivity; threshold effect
- Abstract
The synergistic development of digitalization and greening represents an inescapable option for propelling the advancement of economy and society. Using the panel data of 30 provinces spanning from 2010 to 2021 in China, this research conducts the effect and path of digital industrial agglomeration on carbon productivity from a multi-dimensional perspective. The study reveals that a non-linear inverted U-shaped correlation exists between digital industrial agglomeration and carbon productivity. The threshold effect test indicates that once the level of green technology innovation surpasses a specific threshold, the agglomeration of digital industries exerts a positive influence on carbon productivity. The research results hold substantial practical importance for the effective utilization of digital industrial agglomeration to empower efficiency-enhancing carbon reduction.
- 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
TY - CONF AU - Fang Wang AU - Sirui Peng PY - 2025 DA - 2025/05/27 TI - Digital Industry Agglomeration, Green Technology Innovation and Carbon Productivity BT - Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025) PB - Atlantis Press SP - 601 EP - 608 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-734-2_66 DO - 10.2991/978-94-6463-734-2_66 ID - Wang2025 ER -