Simulation calculation of urban non-fossil energy and carbon emissions

Yuanyuan Wan

doi:10.1117/12.2635371

6 May 2022 Simulation calculation of urban non-fossil energy and carbon emissions

Yuanyuan Wan

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 1225636 (2022) https://doi.org/10.1117/12.2635371
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

Few studies have explored the relationship between green transition, carbon emissions and non-fossil energy consumption. To bridge this gap, a green transition index based on four indicators is first constructed: resource endowment, socioeconomic, industrial pollution and environmental governance. Secondly, data from 2000 to 2019, vector error correction model is used to analyze the relationship between green transition level, carbon emissions and non-fossil energy consumption. We find that green transition is imminent in China. Green transition is conducive to non-fossil energy consumption, and the reduction of carbon dioxide emissions will promote the use of non-fossil energy. The variance decomposition results show that the contribution of green transition to non-fossil energy consumption reaches 36.66% in the tenth period, and carbon intensity gradually increases to about 22.08% in the whole period. Finally, based on the results, this study puts forward suggestions to focus on controlling fossil energy consumption and implement total carbon emission control as a supplement, and provides new ideas for promoting the country's green transformation.

Citation Download Citation

Yuanyuan Wan "Simulation calculation of urban non-fossil energy and carbon emissions", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 1225636 (6 May 2022); https://doi.org/10.1117/12.2635371

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