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This paper firstly analyzed the current thermal power situation in China, and then determined several influential factors by referring to the Kaya identity. Finally, the Partial Least Square Regressive model is applied on this issue. To validate the model, this paper calculated the actual Carbon emissions from thermal power industrial by means of the formula formulating by the Intergovernmental Panel on Climate Change’s 2006 guide from 1991-2014 across China. Under the model, we find that the amount of population, consumption of the coal and the ritio of the thermal power are the main factors influencing the carbon emissions from thermal power industrial.

Study on The Influential Factors of Carbon Emissions from Thermal Power Industrial in China Using Partial Least Square Regressive Model