Sustainability through information and communication technologies is a complex matter, raising interesting debate among researchers. Pursuing the same, this research investigates the impact of information and communication technologies, economic growth, and financial development on carbon dioxide emissions by simultaneously testing the Environmental Kuznets curve (EKC) hypothesis in BRICS countries. In doing so, this study employs Methods of Moments - Quantile Regression, which confirms that the effects of the explanatory variables vary across different quantiles of carbon dioxide emissions. The overall results indicate that economic growth and financial development contribute to carbon dioxide emissions across all quantiles, while information and communication technologies significantly mitigate the level of carbon dioxide emissions only at lower emissions quantiles. Moreover, the results confirm the presence of the EKC hypothesis. Interestingly, the effect of economic growth and information and communication technologies on carbon dioxide emissions is lowest in magnitude at lower quantiles and highest at higher quantiles of carbon dioxide emissions. The empirical findings of DH panel heterogenous causality test confirm bidirectional causality between the model parameters, indicating that any policy intervention concerning explanatory variables significantly causes carbon dioxide emissions and vice versa. The results set out the foundation for policymakers to devise a policy framework to attain the objectives of Sustainable Development Goals (SDGs).

通过信息和通信技术实现可持续性是一件复杂的事情，引起了研究人员之间的有趣辩论。为此，本研究通过同时检验金砖国家的环境库兹涅茨曲线（EKC）假设，研究了信息和通信技术，经济增长和金融发展对二氧化碳排放的影响。为此，本研究采用了矩量法-分位数回归法，该方法证实了解释变量的影响随二氧化碳排放量的不同而有所不同。总体结果表明，经济增长和金融发展促进了所有分位数的二氧化碳排放，而信息和通信技术仅在较低的分位数下才能显着降低二氧化碳的排放水平。此外，结果证实了EKC假设的存在。有趣的是，经济增长以及信息和通信技术对二氧化碳排放的影响在二氧化碳分位数较低的情况下幅度最小，在二氧化碳分位数较高的情况下影响最大。DH面板异质因果关系检验的经验结果证实了模型参数之间的双向因果关系，表明有关解释性变量的任何政策干预都会导致二氧化碳排放，反之亦然。结果为决策者设计政策框架以实现可持续发展目标（SDG）奠定了基础。