Estimating energy-related CO2 emission growth in Bangladesh: The LMDI decomposition method approach

Energy Strategy Reviews

Wu Chongbo¹  Mohammad Maruf Hasan² 

[1] Research School for Southeast Asian Studies, Xiamen University, Fujian, 361005, China;Corresponding author.;

关键词: Power sector;    CO2 emissions;    LMDI;    Scenarios;    Bangladesh;   

DOI  :  

来源: DOAJ

【 摘 要 】

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 (ESa) 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.

【 授权许可】

Unknown