Power Generation Sources and Carbon Dioxide Emissions in BRICS Countries: Static and Dynamic Panel Regression

Purpose: The threat of global warming has escalated as a result industrialization, urbanization, population growth, and lifestyle changes in Brazil, Russia, India, China, South Africa (BRICS). amount electricity generated by various sources is directly influenced their respective carbon dioxide (CO2
 ) emissions. This study’s primary goal to determine which are bad for the environment not.
 Methodology: Examining impact different energy generation on CO2
 emissions using data from BRICS. To analyze data, pooled OLS Generalized Method Moments (GMM) used, well Quantile Regression (QR).
 Findings: We found that coal gas power had positive large influence regardless method used. As compared other emissions, coal-fired production more significant impact. In all regression models, hydroelectric renewable can reduce emissions.
 Originality: Identifying an empirical link between most accomplishment. obtain solid results, paper used combination QR GMM techniques. conclusions presented this article have important environmental policy consequences. CO2 be reduced reducing consumption fossil fuels promoting development alternative such hydroelectric, wind, solar power.