Unraveling the Estimation Bias of Carbon Emission Efficiency in China’s Power Industry by Carbon Transfer from Inter-Provincial Power Transmission DOI Open Access
Yue Han, Bin Zhou, Huangwei Deng

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2312 - 2312

Published: March 6, 2025

Current evaluations of carbon emission efficiency in China’s provincial power industry often neglect the impact transfers from inter-regional transmission, leading to biased assessments that hinder sustainable development energy transition. To address this, we propose an advanced evaluation model incorporates a multi-regional input–output (MRIO) framework, refining CO2 calculations and correcting parameter deviations slack-based measure (SBM) model. This improves both precision fairness assessments. We apply MRIO-SBM evaluate across 30 provinces China for 2012, 2015, 2017, revealing on efficiency. The results indicate incorporating MRIO SBM evaluations. Significant regional disparities are observed: eastern coastal regions achieve higher efficiencies, while northeastern western typically exhibit lower values, ranging 0.5 0.7. Efficiency must account transfer dynamics, as these can lead overestimations by up 19% electricity-importing underestimations approximately 10% electricity-exporting regions. Furthermore, findings emphasize need foster low-carbon cross-regional collaboration promote industry.

Language: Английский

Optimizing China's Power Mix Under Heterogeneous Risk Preferences: Roles of Carbon Pricing, Energy Storage, and CCS Toward 2060 DOI
Qiang Li, Shanglei Chai, Siyuan Chen

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136198 - 136198

Published: April 1, 2025

Language: Английский

Citations

0
Unraveling the Estimation Bias of Carbon Emission Efficiency in China’s Power Industry by Carbon Transfer from Inter-Provincial Power Transmission DOI Open Access
Yue Han, Bin Zhou, Huangwei Deng

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2312 - 2312

Published: March 6, 2025

Current evaluations of carbon emission efficiency in China’s provincial power industry often neglect the impact transfers from inter-regional transmission, leading to biased assessments that hinder sustainable development energy transition. To address this, we propose an advanced evaluation model incorporates a multi-regional input–output (MRIO) framework, refining CO2 calculations and correcting parameter deviations slack-based measure (SBM) model. This improves both precision fairness assessments. We apply MRIO-SBM evaluate across 30 provinces China for 2012, 2015, 2017, revealing on efficiency. The results indicate incorporating MRIO SBM evaluations. Significant regional disparities are observed: eastern coastal regions achieve higher efficiencies, while northeastern western typically exhibit lower values, ranging 0.5 0.7. Efficiency must account transfer dynamics, as these can lead overestimations by up 19% electricity-importing underestimations approximately 10% electricity-exporting regions. Furthermore, findings emphasize need foster low-carbon cross-regional collaboration promote industry.

Language: Английский

Citations

0