Lmdi Decomposition of Energy-Related Co2 Emissions Based on Energy and Co2 Allocation Sankey Diagrams: The Method and an Application to China (2018)

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This manuscript develops a logarithmic mean Divisia index I (LMDI) decomposition method based on energy and CO2 allocation Sankey diagrams to analyze the contributions of various influencing factors to the growth of energy-related CO2 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 (KPEQ) and the primary carbon dioxide emission factor (KC), were introduced to calculate the equilibrium data for the whole process of energy unitization and related CO2 emissions. The data were used to map energy and CO2 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 CO2 emissions in China from 2004 to 2014. The results indicate that GDP growth per capita is the main factor driving the growth of CO2 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 CO2 emissions. © 2018 by the authors.
Year: 2018
Language: English
In: Sustainability, 10 (2): 344-344 p.

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 Record created 2018-09-21, last modified 2018-09-21