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Decomposition and decoupling analysis of electricity consumption carbon emissions in China 被引量:1

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摘要 Electricity consumption is one of the major contributors to greenhouse gas emissions.In this study,we build a power consumption carbon emission measurement model based on the operating margin factor.We use the decomposition and decoupling technology of logarithmic mean Divisia index method to quantify six effects(emission intensity,power generation structure,consumption electricity intensity,economic scale,population structure,and population scale)and comprehensively reflect the degree of dependence of electricity consumption carbon emissions on China's economic development and population changes.Moreover,we utilize the decoupling model to analyze the decoupling state between carbon emissions and economic growth and identify corresponding energy efficiency policies.The results of this study provide a new perspective to understand carbon emission reduction potentials in the electricity use of China.
出处 《Frontiers of Engineering Management》 2022年第3期486-498,共13页 工程管理前沿(英文版)
基金 This study was sponsored by the National Natural Science Foundation of China(Grant No.72131001).
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