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Influencing factors and contribution analysis of CO_(2) emissions originating from final energy consumption in Sichuan Province,China

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Regional Sustainability 2022年第4期3卷 356-372页

作者： LIU Wei JIA Zhijie DU Meng DONG Zhanfeng PAN Jieyu LI Qinrui PAN Linyan Chris UMOLE College of Resources and Environment Chengdu University of Information TechnologyChengdu610225China Environmental Planning Institute Ministry of Ecology and EnvironmentChengdu610225China

Within the context of CO_(2)emission peaking and carbon neutrality,the study of CO_(2)emissions at the provincial level is *** Province in China has not only superior clean energy resources endowment but also great potential for the reduction of CO_(2)***,using logarithmic mean Divisia index(LMDI)model to analysis the influence degree of different influencing factors on CO_(2)emissions from final energy consumption in Sichuan Province,so as to formulate corresponding emission reduction countermeasures from different paths according to the influencing *** on the data of final energy consumption in Sichuan Province from 2010 to 2019,we calculated CO_(2)emission by the indirect emission calculation *** influencing factors of CO_(2)emissions originating from final energy consumption in Sichuan Province were decomposed into population size,economic development,industrial structure,energy consumption intensity,and energy consumption structure by the Kaya-logarithmic mean Divisia index(LMDI)decomposition *** the same time,grey correlation analysis was used to identify the correlation between CO_(2)emissions originating from final energy consumption and the influencing factors in Sichuan *** results showed that population size,economic development and energy consumption structure have positive contributions to CO_(2)emissions from final energy consumption in Sichuan Province,and economic development has a significant contribution to CO_(2)emissions from final energy consumption,with a contribution rate of 519.11%.The industrial structure and energy consumption intensity have negative contributions to CO_(2)emissions in Sichuan Province,and both of them have significant contributions,among which the contribution rate of energy consumption structure was 325.96%.From the perspective of industrial structure,secondary industry makes significant contributions and will maintain a restraining effect;from the perspective of ener

关键词： CO_(2)emissions final energy consumption Logarithmic mean Divisia index(LMDI)model Industrial structure Grey relation analysis Sichuan Province

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