Based on the energy consumption and carbon emission data of 30 provinces in China from 2005 to 2021,this article explores the characteristics of the spatial and temporal patterns of carbon emission intensity at the provincial level in China,applies the LMDI method to decompose the carbon emission into the cumulative contribution value of the influence of multiple factors,and focuses on the integration of the influencing roles of the primary,secondary,and tertiary industries on the carbon emission of energy consumption and the analyzes the main influencing factors of the energy consumption carbon emission.The results of the study show that:(1)From the perspective of time characteristics,the national carbon emission intensity from 2005 to 2021 generally shows an upward trend with a gradual slowdown in the growth rate.(2)From the perspective of spatial pattern,the regions with stronger carbon emission intensity are mainly concentrated in the western region.(3)Economic development factors,urbanization factors,energy intensity structure effect,population size factors are the main factors promoting carbon emissions.(4)Energy consumption intensity effect,industrial structure factors are the main factors inhibiting carbon emissions.Therefore,improving energy use efficiency,optimizing energy structure and industrial structure,taking the road of low-carbon urbanization,as well as implementing the strategy of linkage of energy-saving and emission reduction provinces and regions is an important way to promote China's energy-saving and emission reduction goals.
关键词
能源消费/碳排放强度/LMDI模型/时空格局特征/产业贡献/低碳经济
Key words
Energy consumption/Carbon emission intensity/LMDI model/Spatial and temporal pattern characteristics/Industrial contributions/Low-carbon economy
万方数据