The results indicate that there is a significant spatial effect on carbon emission intensity between regions in China; Economic level, population density, and foreign investment intensity have a positive spatial direct effect on carbon emission intensity, while industrial structure, energy structure, scientific research investment, and urbanization level have a negative spatial direct effect on carbon emission intensity. The economic level, industrial structure, energy structure, and urbanization level have a negative spatial spillover effect on carbon emission intensity, while population density has a positive spatial spillover effect on carbon emission intensity. The spatial spillover effect of scientific research investment and foreign investment intensity on carbon emission intensity is not significant. Economic growth, industrial structure, and urbanization level are important factors that affect the intensity of carbon emissions.

Maosen Xia, Linlin Dong, Huiting Wang. Research on Spatial Effects of Regional Carbon Emission Intensity in China. Academic Journal of Mathematical Sciences (2023) Vol. 4, Issue 5: 31-41. https://doi.org/10.25236/AJMS.2023.040505.

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