A study on the influencing factors of carbon emissions and peaking path in Liaoning province based on the STIRPAT model

As global concern over climate change continues to grow, accurately predicting regional carbon emissions becomes crucial for guiding policy-making and achieving carbon reduction targets. This study takes the Liaoning Province as the research object, first analyzing the factors affecting regional carbon emissions. On this basis, the scenario analysis method is combined with the STIRPAT model. Finally, the validity of the model data is verified through a specific example in the Liaoning Province, and the carbon emission trends under different socio-economic development scenarios are predicted. The study found that with effective policy guidance and technological innovation, the Liaoning Province is expected to achieve an early peak in carbon emissions, providing a reference case for other regions.

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Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0381
Primary Topic
Environmental Policies and Emissions
Type
article
Field-Weighted Citation Impact
0.00
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article

A study on the influencing factors of carbon emissions and peaking path in Liaoning province based on the STIRPAT model

Bo Dong, Jipeng Kuai, Qingchun Li, Ye Zhang et al.
IET conference proceedings.
Environmental Policies and Emissions
article

A study on the influencing factors of carbon emissions and peaking path in Liaoning province based on the STIRPAT model

Bo Dong, Jipeng Kuai, Qingchun Li, Ye Zhang, Nan Liu, Jiansheng Li, Jian Zhang
article en

Abstract

As global concern over climate change continues to grow, accurately predicting regional carbon emissions becomes crucial for guiding policy-making and achieving carbon reduction targets. This study takes the Liaoning Province as the research object, first analyzing the factors affecting regional carbon emissions. On this basis, the scenario analysis method is combined with the STIRPAT model. Finally, the validity of the model data is verified through a specific example in the Liaoning Province, and the carbon emission trends under different socio-economic development scenarios are predicted. The study found that with effective policy guidance and technological innovation, the Liaoning Province is expected to achieve an early peak in carbon emissions, providing a reference case for other regions.

IET conference proceedings.Vol. 2024(33)
Shanghai Electric (China) (CN)
Openalex Percentile: Top 97%
Environmental Policies and Emissions
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A study on the influencing factors of carbon emissions and peaking path in Liaoning province based on the STIRPAT model — Bo Dong, Jipeng Kuai, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS