| Issue |
E3S Web Conf.
Volume 576, 2024
The 13th Engineering International Conference “Sustainable Development Through Green Engineering and Technology” (EIC 2024)
|
|
|---|---|---|
| Article Number | 02008 | |
| Number of page(s) | 9 | |
| Section | Green Technology in Environmental Conservation | |
| DOI | https://doi.org/10.1051/e3sconf/202457602008 | |
| Published online | 03 October 2024 | |
Accelerating Battery Electric Vehicle Program through Progressive Carbon Tax and Collection Scheme
1 Road Transportation Management Department, Politeknik Transportasi Darat Indonesia STTD, Bekasi, Indonesia
2 Marketing Innovation and Technology Department, Politeknik Transportasi Darat Indonesia STTD, Bekasi, Indonesia
* Corresponding author: sindyallam65@gmail.com
The implementation of sustainable transportation strategies aims to mitigate global warming by generating environmentally friendly energy, reducing carbon emissions, and combating extreme climate change. In Indonesia, the predominant use of gasoline-powered vehicles contributes to pollution and various environmental issues. This research seeks solutions for government policy management to facilitate a sustainable transportation transition through battery electric vehicles. Utilizing a qualitative descriptive research design, the study gathers data through literature reviews on sustainable development in the transportation sector, particularly focusing on renewable energy. The data processing involves reduction, presentation, and verification. The study employs in-depth analysis using the SWOT technique. The findings suggest that the Indonesian government must enhance the adoption of electric vehicles for both public and private use. Additionally, a well-targeted policy strategy is crucial for the effective acceleration of the battery electric vehicle program. Implementing a progressive carbon tax and a strategic tax collection approach could gradually encourage the public to transition to battery electric vehicles, thereby addressing the pressing environmental challenges.
© 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.