Analysis Of Influence Factors Of Carbon Emission In China

In recent years, with the development of economy and the growth of population, energy consumption is soaring, leading to continuous increased Carbon dioxide emissions in China, energy conservation has become an important task for the government. A country’s Carbon dioxide emissions is interacted by a variety of factors, and often these factors that effect on carbon emissions are different.This paper has selected China’s30provinces (autonomous regions, municipalities directly under the central government) of panel data, from1995to2012, to study on influencing factors of carbon emission. Due to the vast territory of China, economic level and population size are different regionally, the carbon dioxide emissions are also relatively different. While the division standard of three regions of our country, the East, Central and West is not suitable for regional analysis of the carbon dioxide emissions. In this paper, we calculates the carbon emissions of each province, then using the method of system clustering, based on18years of carbon emissions, we will have30provinces in China to fall into three categories.In this paper, we use the Eviews6.0statistical software to study the relationship between population, per capita GDP, industrial structure, PPI and residents consumption expenditure impact on CO2emissions, using the method such as panel unit root test, panel cointegration test, panel data model like the random effect model, fixed effect model. The results showed:population, per capita GDP, the industrial structure has a positive effect on carbon emissions, while CPI had a negative impact on it and PPI has dual effects; and as each category model is different, in different regions, the factors above have different effect on carbon emissions weight, suggesting that the factors affecting carbon emissions are regional heterogeneity sex.