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Academic Journal of Computing & Information Science, 2022, 5(9); doi: 10.25236/AJCIS.2022.050912.

Research on Carbon Emission Response Strategy for Zoning Area Based on Multiple Linear Regression


Wanyue Li, Shirui Liu

Corresponding Author:
Wanyue Li

School of Economics and Management, Shanghai University of Sport, Shanghai, China


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.


Carbon Emissions, Carbon Peaking and Carbon Neutrality Goals, Multiple Linear Regression, Zoned Area, Coping Strategies

Cite This Paper

Wanyue Li, Shirui Liu. Research on Carbon Emission Response Strategy for Zoning Area Based on Multiple Linear Regression. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 9: 77-81. https://doi.org/10.25236/AJCIS.2022.050912.


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