Abstract
As an essential part of China's carbon emissions, urban carbon emission reduction is of great significance to achieve the carbon neutrality goal in China. On the basis of systematic scientific theory, this paper sorted out the relevant factors and data of urban carbon emissions, and combined with correlation analysis method, proposed a data-driven correlation analysis method of key influencing factors of urban carbon emissions. This method is characterized by urban energy structure, regional characteristics and other factors, and analyzes the internal relationship between urban energy structure and carbon emissions. This paper takes Beijing, Shanghai, Tianjin and Chongqing as examples, through data analysis from 2010 to 2018, reveals the evolution law of urban carbon emissions growth, and provides theoretical and practical strategy basis for the realization of the goal of “carbon peak and carbon neutrality” in cities.
Published Version
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