Researching the Changes of 2 CO Stock based on the PLSR Method in Shaanxi
It’s more and more important to effectively control and reduce the emission of 2 co as global warming. Shaanxi joins the unit to control and reduce the emission of 2 co 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 2 co 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 2 co in Shaanxi becoming more precise. In addition, GDP β =1.178, P β =0.022, T β =0.164and GA β =-0.099.Consequently, GDP plays an important role in the stock of 2 co in Shaanxi, Energy intensity follows, and the forest area has a negative correlation with it.
the stock of 2 co PLSR (partial least square regression analysis) the gap theory the multiple linear correlations
Wenjun WANG Xiaozhen MA
International Business School,Shaanxi Normal UniversityXi’an China International Business School, Shaanxi Normal University Xi’an China
国际会议
武汉
英文
586-590
2011-10-17（万方平台首次上网日期，不代表论文的发表时间）