Prediction and analysis of peak carbon dioxide emissions of Ningxia Power industry based on STIRPAT model

Mengyuan Tang; Yi Qi; Dongsheng Dang; Caijuan Qi

doi:10.1117/12.2692861

24 October 2023 Prediction and analysis of peak carbon dioxide emissions of Ningxia Power industry based on STIRPAT model

Mengyuan Tang, Yi Qi, Dongsheng Dang, Caijuan Qi

Author Affiliations +

Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 128041A (2023) https://doi.org/10.1117/12.2692861
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China

Abstract

Based on different perspectives, Carbon emissions from the power industry in Ningxia during 2010-2019 were calculated and analyzed, six influencing factors were selected, and the STIRPAT model was used to get the multiple linear prediction model of CO₂ emissions in Ningxia Hui Autonomous Region through ridge regression fitting. The development trend of carbon dioxide emissions in the Ningxia Hui Autonomous Region was examined using six development scenarios. The results expression that the demographic factor, residents' affluence, technical factor, power generation structure and urbanization level have a promoting effect on CO₂ emissions, among which the demographic factor has the most significant impact. The structure of the industrial sector reduces carbon dioxide emissions. And the medium development-high emission reduction model is the optimal development model for controlling the growth of CO₂ emissions in Ningxia Hui Autonomous Region.

Citation Download Citation

Mengyuan Tang, Yi Qi, Dongsheng Dang, and Caijuan Qi "Prediction and analysis of peak carbon dioxide emissions of Ningxia Power industry based on STIRPAT model", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 128041A (24 October 2023); https://doi.org/10.1117/12.2692861

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