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Analysis of the Current Situation and Influencing Factors of China's Carbon Emissions—Based on the Multiple Linear Regression Model

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DOI: 10.23977/ferm.2023.061006 | Downloads: 28 | Views: 364


Jingran Li 1, Jiaojiao Li 1


1 School of Finance, Hubei University of Economics, Wuhan, 430000, China

Corresponding Author

Jingran Li


The rapid economic development has further contributed to the global carbon emission problem, and studying the influencing factors of carbon emission is very valuable. Therefore, this paper selects five indicators: the stock of social financing (SFS), the percentage of fossil energy consumption (FEC), urbanization level (UL), energy processing and conversion efficiency (EPE), and per capita carbon emissions (CEP), to conduct an empirical study of their time series data from 2005 to 2020. Moreover, the results show that there is a positive correlation between the scale of social financing, the proportion of fossil energy consumption and per capita carbon dioxide, and a negative correlation between the urbanization level, energy processing and conversion efficiency, and per capita carbon emissions. Finally, reasonable development suggestions are proposed for promoting carbon emission reduction from three aspects: government, enterprise, and individual.


Carbon emission; Sustainable development; Least square method; Granger causality test


Jingran Li, Jiaojiao Li, Analysis of the Current Situation and Influencing Factors of China's Carbon Emissions—Based on the Multiple Linear Regression Model. Financial Engineering and Risk Management (2023) Vol. 6: 48-57. DOI:


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