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<p>In recent years, the reduction of carbon emissions from China’s electricity sector has attracted significant attention. A crucial aspect of this process is the assessment of the underlying drivers, as it is essential for identifying cost-effective policy measures to mitigate these emissions. In this context, our study develops a novel production structure within the framework of Data Envelopment Analysis (DEA). Building on this research direction, we further propose twelve categories of driving factors to capture the changes in carbon intensity between the electricity sub-system and the sustainability sub-system. Empirically, this study focuses on the assessment of Chinese electricity-sustainability system from 2012 to 2022. These results indicate that Chinese carbon intensity has shown an overall fluctuating but downward trend during the past ten years, with a negative growth rate of about − 3.23%. This overall trend is closely related to the improvement of energy intensity, electricity intensity, the utilization of advanced energy technology and the optimization of energy structure. In addition, irrespective of whether electricity functions as an input or an output in different sub-systems, the efficiency improvement in this variable plays a pivotal role in effectively mitigating carbon intensity. These findings extend our understanding of the interdependence between the electricity system and sustainability system, and also hold significant policy implications for setting specific-designed strategies and decreasing carbon intensity across various regions.</p>

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Tracking carbon intensity changes through the decomposition technique: new evidence based on Chinese electricity-sustainability system

  • 期刊论文

  • 发表日期：

    2025年10月31日

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  • Aijun Li,
  • Lijuan Zhou,
  • Ruchuan Zhang

摘要

In recent years, the reduction of carbon emissions from China’s electricity sector has attracted significant attention. A crucial aspect of this process is the assessment of the underlying drivers, as it is essential for identifying cost-effective policy measures to mitigate these emissions. In this context, our study develops a novel production structure within the framework of Data Envelopment Analysis (DEA). Building on this research direction, we further propose twelve categories of driving factors to capture the changes in carbon intensity between the electricity sub-system and the sustainability sub-system. Empirically, this study focuses on the assessment of Chinese electricity-sustainability system from 2012 to 2022. These results indicate that Chinese carbon intensity has shown an overall fluctuating but downward trend during the past ten years, with a negative growth rate of about − 3.23%. This overall trend is closely related to the improvement of energy intensity, electricity intensity, the utilization of advanced energy technology and the optimization of energy structure. In addition, irrespective of whether electricity functions as an input or an output in different sub-systems, the efficiency improvement in this variable plays a pivotal role in effectively mitigating carbon intensity. These findings extend our understanding of the interdependence between the electricity system and sustainability system, and also hold significant policy implications for setting specific-designed strategies and decreasing carbon intensity across various regions.