Abstract
In order to achieve Chinese “Carbon Peaking and Carbon Neutrality Goals” and provide strategies for global carbon emissions, this study explored the relationship between regional carbon dioxide emission concentration and various factors by establishing a multiple linear regression model. The result showed that the concentration of carbon emissions was estimated by an optimal combination of factors affecting carbon emissions, This is more effective and practical than estimating with only one influencing factor. Among them, the important factors affecting carbon emissions are factory density, vehicle exhaust emissions, vegetation coverage and population density. Finally, it makes a reasonable response strategy to the factors of high impact on carbon emissions, and hopes to promote the development of our low carbon transformation and sustainable development, which has outstanding strategic value and positive practical significance.
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