Uncertain panel threshold regression model and its application

This study first constructs an uncertain panel threshold regression model (UPTR) and empirically examines the impact of energy structure changes on carbon emissions based on panel data from 29 Chinese provinces spanning 2012 to 2020. The results show that there is a significant threshold effect of energy structure changes on carbon emissions, and that the level of industrial development and the intensity of renewable energy utilization are important factors affecting carbon emissions. When the energy structure crosses a specific threshold, the intensity of its impact on carbon emissions undergoes a clear shift. Specifically, before crossing the threshold, the energy structure significantly increases carbon emissions, whereas after crossing the threshold, its marginal emission-increasing effect weakens. This indicates that only when renewable energy utilization reaches a certain level can the optimization of the energy structure truly play a role in curbing carbon emissions.

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Publication Details

Journal
Communications in Statistics - Simulation and Computation
Published
2026-11-01
DOI
https://doi.org/10.1080/03610918.2026.2753592
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00

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article

Uncertain panel threshold regression model and its application

Yuhong Sheng, Kang Feng, Tiantian Zhang
Communications in Statistics - Simulation and Computation
Energy, Environment, Economic Growth
article

Uncertain panel threshold regression model and its application

Yuhong Sheng, Kang Feng, Tiantian Zhang
article en

Abstract

This study first constructs an uncertain panel threshold regression model (UPTR) and empirically examines the impact of energy structure changes on carbon emissions based on panel data from 29 Chinese provinces spanning 2012 to 2020. The results show that there is a significant threshold effect of energy structure changes on carbon emissions, and that the level of industrial development and the intensity of renewable energy utilization are important factors affecting carbon emissions. When the energy structure crosses a specific threshold, the intensity of its impact on carbon emissions undergoes a clear shift. Specifically, before crossing the threshold, the energy structure significantly increases carbon emissions, whereas after crossing the threshold, its marginal emission-increasing effect weakens. This indicates that only when renewable energy utilization reaches a certain level can the optimization of the energy structure truly play a role in curbing carbon emissions.

Communications in Statistics - Simulation and Computation
Xinjiang University (CN)
National Natural Science Foundation of China-Xinjiang Joint Fund
Climate action, Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Energy, Environment, Economic Growth
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