Probing the affecting factors and decoupling analysis of energy industrial carbon emissions in Liaoning, China.

With the revitalization of the old industrial bases in Northeast China, the development of the energy industry is particularly significative. The purpose of this paper is analyzing the decoupling of carbon emissions and placing emphasis on Liaoning's energy industry. The researchers used the logarithmic mean Divisia index (LMDI) decompose model to take into account carbon emissions in each energy industry and used the Tapio decoupling model from 2000 to 2015 to seek the decoupling states. The main completion of this study are as follows: (1) The EGH and OPC industry are the dominating components of the carbon emissions of the energy industry. The coal and crude oil accounted for 95% of energy industrial consumption; there is great potential for electricity to replace coal and crude oil. (2) The direction of the changes in economic growth, investment structure, investment dependence, and energy structure is the same as industrial carbon emissions. Meanwhile, energy intensity and energy technology are the opposite during the period. (3) The CMW and PGE industry occurred strong decoupling between carbon emissions and economic output since 2005; there is weak decoupling state in other industry. And the PGE and OPC industry occurred recessive coupling and weak negative decoupling between carbon emissions and energy intensity except 2011 and 2012.