Climate change is a key global issue. The continuous increase in greenhouse gas emissions, such as carbon dioxide (CO₂), from non-renewable energy sources, is the primary driver of climate change. This study sheds light on this issue by examining the historical CO₂ emissions of Bangladesh's electricity sector from 1979 to 2018. This study applies the logarithmic mean divisia index (LMDI) method to three distinct scenarios regarding future emissions. The results of the study are as follows: (1) the impact of government action, population, and substitution results show optimistic outcomes, while CO₂ intensity and power intensity show negative impacts in lessening carbon emissions; (2) The emissions scenario analysis (E_Sa) from 1979 to 2040 estimates that the continued interaction of these activities with the population and with the coal industry, and predicts that proper deployment of renewable energy technologies can reduce CO₂ emissions in Bangladesh; (3) The forecasted results of the analyses suggest that CO₂ emissions will peak at 58.97 Mtoe by 2040, which can be reduced by renewable (i.e. solar, wind, biomass) and energy technologies in Bangladesh. Some relevant policy proposals are proffered based on some of the key findings of this study.

气候变化是一个关键的全球性问题。来自不可再生能源的温室气体排放量的持续增加，例如二氧化碳（CO ₂），是气候变化的主要驱动力。这项研究通过研究1979年至2018年孟加拉国电力部门的历史CO ₂排放来阐明这一问题。该研究将对数平均除数指数（LMDI）方法应用于关于未来排放的三种不同情况。研究结果如下：（1）政府行为，人口和替代结果的影响显示出乐观的结果，而CO ₂强度和功率强度显示出对减少碳排放的负面影响；（2）排放情景分析（E _Sa）从1979年到2040年，估计这些活动与人口和煤炭行业的持续互动，并预测适当部署可再生能源技术可以减少孟加拉国的CO ₂排放；（3）分析的预测结果表明，到2040年，CO ₂排放量将达到58.97 Mtoe的峰值，这可通过孟加拉国的可再生能源（即太阳能，风能，生物质能）和能源技术来减少。根据这项研究的一些关键发现，提出了一些相关的政策建议。