| Issue |
E3S Web Conf.
Volume 528, 2024
2024 3rd International Symposium on New Energy Technology Innovation and Low Carbon Development (NET-LC 2024)
|
|
|---|---|---|
| Article Number | 03016 | |
| Number of page(s) | 6 | |
| Section | Carbon Emission Research and Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202452803016 | |
| Published online | 28 May 2024 | |
Influencing factors on carbon emission in China transport industry based on PVAR model: A supply-demand perspective
College of Civil Engineering, Nanjing Forestry University, Nanjing, Jiangsu Province, 210000, China
* Corresponding author: 2302229266@qq.com
The control of carbon emission is of great significance to environmental protection. Transport accounts for about 10% of total carbon emissions. Therefore, energy conservation and emission reduction in the transportation sector have become critically important. This study takes 30 provinces in China as examples and uses a panel VAR (PVAR) model to study the impact of various factors on carbon emissions from the aspects of supply and demand.In terms of supply, transportation structure, environmental investment, and road density are key factors, and their impacts are dynamic.On the demand side, industrial structure, per capita GDP, and urbanization rate are major influencers. Specifically, urbanization and openness levels drive transportation carbon emissions in the east, per capita GDP in the central region, and industrial structure in the west. This paper will provide concrete and feasible policy suggestions for the characteristic provinces on transportation carbon emission.
© 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.