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http://dx.doi.org/10.4491/eer.2015.130

Energy-related CO2 emissions in Hebei province: Driven factors and policy implications  

Wen, Lei (The Academy of Baoding Low-Carbon Development)
Liu, Yanjun (Department of Economics and Management, North China Electric Power University)
Publication Information
Environmental Engineering Research / v.21, no.1, 2016 , pp. 74-83 More about this Journal
Abstract
The purpose of this study is to identify the driven factors affecting the changes in energy-related $CO_2$ emissions in Hebei Province of China from 1995 to 2013. This study confirmed that energy-related $CO_2$ 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 $CO_2$ 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 $CO_2$ 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.
Keywords
$CO_2$ emissions; Driven factors; Hebei province; Ridge regression; STIRPAT model;
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