In order to quantify the contribution of the mitigation strategies

an extended Kaya identity has been proposed in this paper for decomposing the various factors that influence the CO

2

emission. To this end

we provided a detailed decomposition of the carbon intensity and energy intensity

which enables the quantification of clean energy development and electrification. The logarithmic mean divisia index (LMDI) has been applied to the historical data to quantify the contributions of the various factors affecting the CO

2

emissions. Further

the global energy interconnection (GEI) scenario has been introduced for providing a systematic solution to meet the 2°C goal of the Paris Agreement. By combining LMDI with the scenario analysis

the mitigation potential of the various factors for CO

2

emission has been analyzed. Results from the historical data indicate that economic development and population growth contribute the most to the increase in CO

2

emissions

whereas improvement in the power generation efficiency predominantly helps in emission reduction. A numerical analysis

performed for obtaining the

projected future carbon emissions

suggests that clean energy development and electrification are the top two factors that can decrease CO

2

emissions

thus showing their great potential for mitigation in the future. Moreover

the carbon capture and storage technology serves as an important supplementary mitigation method.