Estimating the CO2 emissions of Chinese cities from 2011 to 2020 based on SPNN-GNNWR

Global warming is a serious threat to human survival and health. Facing increasing global warming, the issue of CO2 emissions has attracted more attention. China is a major contributor of anthropogenic CO2 emissions and so it is essential to accurately estimate China's CO2 emissions and analyze their changing characteristics. This study recalculates CO2 emissions from Chinese cities from 2011 to 2020 using the SPNN-GNNWR model and multiple factors to reduce the uncertainty in emission estimates. The SPNN-GNNWR model has excellent predictions (R2: 0.925, 10-fold CV R2: 0.822) when cross-validation is used. The results indicate that the total CO2 emissions in China calculated by the model are close to those accounted for by other authorities in the world, with the total CO2 emissions increasing from 9.122 billion tonnes in 2011 to 9.912 billion tonnes in 2020. The city with the largest increase in CO2 emissions is Tianjin, and the city with the largest decrease is Beijing. The study also reveals the regional differences in CO2 emissions in Chinese mainland, including emissions, emission intensity and per capita emissions. Capturing and understanding the emissions and the related socioeconomic charac-teristics of different cities can help to develop effective emission mitigation strategies.

Automated summary

Global warming poses a serious threat to human survival and health, and the issue of CO2 emissions has gained more attention due to increasing global warming. China, being a major contributor, accurately estimating and analyzing China's CO2 emissions is crucial. This study recalculates CO2 emissions from Chinese cities using the SPNN-GNNWR model to reduce uncertainty. The results show that the model's calculations align with other authorities, with China's total CO2 emissions increasing from 9.122 billion tonnes in 2011 to 9.912 billion tonnes in 2020. The study also reveals regional differences in emissions, emission intensity, and per capita emissions, providing insights for effective emission mitigation strategies.