Researching the Changes of CO2 Stock Based on the PLSR Method in Shaanxi

It´s more and more important to effectively control and reduce the emission of CO₂ as global warming. Shaanxi joins the unit to control and reduce the emission of CO₂ for it´s an industrializing economy. According to the gap theory, this paper selects GDP, population energy intensity and forest area as independent variables to analyze their effects on the stock of CO₂ in Shaanxi. The PLSR (partial least square regression model) is developed through the cross-sectional data from 1996 to 2008.The result shows that the standardized PLSR model established by three principle components makes the effect of every independent variable to the stock of CO₂ in Shaanxi becoming more precise. In addition, β_GDP =1.178, β_p =0.022, β_T =0.164 and β_GA =-0.099.Consequently, GDP plays an important role in the stock of CO₂ in Shaanxi, Energy intensity follows, and the forest area has a negative correlation with it.