Decomposition of Factors Impact on Carbon Emission for China Based on LMDI

As earth climate warms rapidly, the problem of carbon emissions has become a universal concern, the study of the factors involving carbon emissions will be the basis in finding the way to the reduction. LMDI established a framework to study the change in emission intensity and its mechanism. Using the extend Kaya Identity to decompose the driving factors into energy structure, energy intensity, economic and population, the logarithmic mean Divisia index (LMDI) model was employed to analyze factors contribute to the growth of the carbon emission in China during the period of 1996-2009. The results showed that economic effect is the main reason contributes to the increase of carbon emissions, while the energy intensity plays an important role in emission reduction, energy structure and population are no so important.