Issue |
E3S Web of Conf.
Volume 490, 2024
5th International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2023)
|
|
---|---|---|
Article Number | 03014 | |
Number of page(s) | 4 | |
Section | Ecological Environment Restoration and Pollution Control | |
DOI | https://doi.org/10.1051/e3sconf/202449003014 | |
Published online | 14 February 2024 |
The influence of the level of information infrastructure development on carbon emissions
School of Management, Shanghai University, Baoshan district, Shanghai, China
* Corresponding author: zhaoran0317@shu.edu.cn
More and more conventional infrastructure construction leads to an increasement in global carbon emissions due to the release of carbon. However, it is not clear whether the information infrastructure promotes or inhibits carbon emissions. Consequently, this study examines how information infrastructure at the provincial level affects carbon emissions in China. The study used a set of two-way fixed-effect models using panel data from 30 Chinese provinces and municipalities from 2013 to 2021.These findings indicate a continuous improvement in the overall progress of information infrastructure development, yet there is also a widening gap between the highest and lowest extremes. Moreover, the level of information infrastructure development in the eastern region clearly surpasses western region’s to a substantial extent. In addition, empirical research has found that there exists a clear "inverted U-shaped" relationship between information infrastructure and carbon emissions. These findings offer both theoretical and empirical support for China's efforts in constructing an information infrastructure that can effectively achieve the "double carbon" strategy.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.