The greenhouse effect caused by carbon dioxide has become a serious threat to the survival and development of human society,therefore,carbon emission reduction turns into the basic measures of controlling climate change. The partial least squares regression model was constructed to analyze the data of multiple factors from 2002 to 2013,and combined with data of 2014 fitting results. Research shows that energy prices and energy efficiency are negatively correlated with carbon emissions,whose contribution degree is 0.377 and 1.065 respectively,and the remaining indicators are positively. The main factors that promote to carbon emissions are population size,level of economic development and the level of urbanization, while the effect of scientific research level is the weakest. The study could provide the basis for the relevant departments to find the policy of controlling carbon emissions.