Energy-related CO₂ emissions in Hebei province

다국어 초록 (Multilingual Abstract)

The purpose of this study is to identify the driven factors affecting the changes in energy-related CO₂ emissions in Hebei Province of China from 1995 to 2013. This study confirmed that energy-related CO₂ emissions are correlated with the population, urbanization level, economic development degree, industry structure, foreign trade degree, technology level and energy proportion through an improved STIRPAT model. A reasonable and more reliable outcome of STIRPAT model can be obtained with the introducing of the Ridge Regression, which shows that population is the most important factor for CO₂ emissions in Hebei with the coefficient 2.4528. Rely on these discussions about affect abilities of each driven factors, we conclude several proposals to arrive targets for reductions in Hebei`s energy-related CO₂ emissions. The method improved and relative policy advance improved pointing at empirical results also can be applied by other province to make study about driven factors of the growth of carbon emissions.