Based on CEADs energy consumption data and 17 types of energy related parameters,this article uses the IPCC reference method to estimate CO2 emissions from mining energy consumption in 29 regions of China from 2004 to 2019,analyzes their total amount,structure,and distribution characteristics,studies their decoupling relationship with industry output value based on the Tapio decoupling model,and use the LMDI decomposition method to explore the driving factors that affect its changes.The results indicate that the CO2 emissions from energy consumption in China's mining industry showed an inverted V-shaped pattern,reaching its maximum in 2012,with uneven distribution in space,industry,and energy types.The CO2 emissions and output value of mining energy consumption at the national and provincial levels are mainly weakly decoupled,but the trend of decoupling has shifted from steady improvement to some degradation.The output value change effect plays a major role in increasing emissions,the energy intensity effect plays a core role in reducing emissions,and the energy structure effect has a relatively small role in reducing emissions.These factors have heterogeneous effects at the regional level,and differentiated emission reduction strategies need to be implemented.
维普
万方数据