Issue |
E3S Web Conf.
Volume 557, 2024
2024 6th International Conference on Resources and Environment Sciences (ICRES 2024)
|
|
---|---|---|
Article Number | 04005 | |
Number of page(s) | 8 | |
Section | Green Technology, Emission Reduction, and Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202455704005 | |
Published online | 15 August 2024 |
Analysis of the Determinants of Carbon Dioxide Emissions in BRICS Countries: A Panel Dynamic Ordinary Least Square (DOLS) Estimation Approach
Faculty of Economics and Business, Universitas Negeri Semarang, Semarang, Indonesia
* Corresponding author: andryan@mail.unnes.ac.id
Since the advent of the Industrial Revolution, a consistent goal has been the pursuit of economic growth and progress. However, this pursuit has been guided by a rise in pollution and degradation. This study investigates the correlation between environmental pollution (CO2 emissions), the utilization of renewable energy, and economic development in the BRICS countries spanning from 1992 to 2020. The study aims to understand the correlation between the increasing CO2 emissions in the BRICS nations and factors such as the labour force participation rate (LABOUR), GDP, consumption of renewable energy, and foreign direct investment (FDI). The analysis utilizes Panel Dynamic Ordinary Least Square as the estimation technique. The results reveal a substantial and enduring correlation among employment, the adoption of renewable energy (RE), and CO2 emissions in the BRICS nations. Specifically, a 1 percent rise in the labour force is linked with a 0.859 percent increase in CO2 emissions, while a 1% increase in the use of RE is connected to a 0.029 percent reduction in CO2 emissions. However, the long-runs correlation between GDP, FDI, and CO2 emissions is insignificant.
© 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.