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Unraveling the Estimation Bias of Carbon Emission Efficiency in China’s Power Industry by Carbon Transfer from Inter-Provincial Power Transmission

Author

Listed:
  • Yiling Han

    (College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China)

  • Bin Zhou

    (College of Civil Engineering and Architecture, Xinjiang University, Urumqi 830049, China)

  • Huangwei Deng

    (College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China)

  • Jiwei Qin

    (School of Computer Science and Technology, Xinjiang University, Urumqi 830049, China)

Abstract

Current evaluations of carbon emission efficiency in China’s provincial power industry often neglect the impact of carbon transfers from inter-regional power transmission, leading to biased assessments that hinder the sustainable development of the energy transition. To address this, we propose an advanced efficiency evaluation model that incorporates a multi-regional input–output (MRIO) framework, refining CO 2 emission calculations and correcting parameter deviations in the slack-based measure (SBM) model. This model improves both the precision and fairness of carbon emission efficiency assessments. We apply the MRIO-SBM model to evaluate carbon emission efficiency in the power industry across 30 provinces in China for 2012, 2015, and 2017, revealing the impact of carbon transfers on efficiency. The results indicate that incorporating MRIO improves the precision of SBM evaluations. Significant regional disparities are observed: eastern coastal regions achieve higher efficiencies, while northeastern and western regions typically exhibit lower values, ranging from 0.5 to 0.7. Efficiency evaluations must account for carbon transfer dynamics, as these transfers can lead to overestimations of efficiency by up to 19% in electricity-importing regions and underestimations of approximately 10% in electricity-exporting regions. Furthermore, the findings emphasize the need to foster low-carbon cross-regional collaboration to promote sustainable development in the power industry.

Suggested Citation

  • Yiling Han & Bin Zhou & Huangwei Deng & Jiwei Qin, 2025. "Unraveling the Estimation Bias of Carbon Emission Efficiency in China’s Power Industry by Carbon Transfer from Inter-Provincial Power Transmission," Sustainability, MDPI, vol. 17(5), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:2312-:d:1606844
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    References listed on IDEAS

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