This manuscript develops a logarithmic mean Divisia index I (LMDI) decomposition method based on energy and CO 2 allocation Sankey diagrams to analyze the contributions of various influencing factors to the growth of energy-related CO 2 emissions on a national level. Compared with previous methods, we can further consider the influences of energy supply efficiency. Two key parameters, the primary energy quantity converted factor (K PEQ ) and the primary carbon dioxide emission factor (K C ), were introduced to calculate the equilibrium data for the whole process of energy unitization and related CO 2 emissions. The data were used to map energy and CO 2 allocation Sankey diagrams. Based on these parameters, we built an LMDI method with a higher technical resolution and applied it to decompose the growth of energy-related CO 2 emissions in China from 2004 to 2014. The results indicate that GDP growth per capita is the main factor driving the growth of CO 2 emissions while the reduction of energy intensity, the improvement of energy supply efficiency, and the introduction of non-fossil fuels in heat and electricity generation slowed the growth of CO 2 emissions.