Although previous studies have investigated the impact of various determinants on environmental degradation, there has been relatively minimal research on the impact of women’s political participation (WP) on carbon emissions (CO 2 ). Considering the research gaps, we examine the relationship between WP and CO 2 as well as their underlying mechanisms in Brazil, Russia, India, China, South Africa, Turkey, and Mexico (BRICS-TM), the world’s largest energy consumers and the largest CO 2 emitters. For this purpose, the novel Method of Moment Quantile Regression (MMQR) technique is applied as a robust estimation method alongside Fully Modified Ordinary Least Square (FMOLS), Dynamic Ordinary Least Square (DOLS), and Canonical Cointegration Regression (CCR) estimations. The findings indicate that a 1% rise in WP leads to a reduction in CO 2 in the FMOLS, DOLS, and CCR techniques by 0.022%, 0.090%, and 0.024%, respectively. Further, the MMQR technique demonstrates that WP reduces to CO 2 by 0.071% to 0.122% across all quantiles from the 10th to 90th. The study is also augmented with additional variables, such as renewable energy consumption (REC), economic growth (EG), energy consumption (EC), and trade openness (TO) to enhance the robustness of the CO 2 function. EG, EC, and TO exert a positive impact on CO 2 , while REC reduces it. The results highlight that increasing women’s political participation can pave the way for legislation that particularly supports green economy and sustainable development in BRICS-TM.
Erenel et al. (Thu,) studied this question.