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<p>As the energy transition continues to advance, the impacts of energy development and utilization on the eco-environment are becoming more and more complex. This study integrated heterogeneous data from multiple sources, quantified the energy transition efficiency (ETE) and eco-environment (EE) in China’s provinces using the super-efficiency SBM model and RESI model, and explored their interrelationships using the modified coupled coordination (CCD) model, and clarified the main driving factors using an optimal parameters-based geographical detector (OPGD) model. The results show that: ETE exhibited an upward trend in China, with Shanxi, Anhui, Gansu, and Hebei significantly lower than the other provinces. Meanwhile, EE showed a decreasing trend, particularly in Xinjiang, Gansu, Qinghai, Ningxia and Inner Mongolia as well as Shanghai. Most provinces are in the process of developing from near disequilibrium to primary equilibrium, showing a southeast-high, northwest-low spatial pattern. The dominant factors affecting the coupling of ETE and EE are regional economic development, technology level and green credit. All factor interactions are enhanced to some extent, with the strongest interaction between green credit and urbanization. These findings support adaptive management strategies for coordinating energy transition and ecological sustainability.</p>

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The coordinated relationship between energy transition efficiency and eco-environment in china: Analysis of characterization changes, driving factors, and adaptive management strategies

  • 期刊论文

  • 发表日期：

    2026年2月9日

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  • Jicheng Liu,
  • Chaoran Lu,
  • Xuying Ma,
  • Xu Yang

摘要

As the energy transition continues to advance, the impacts of energy development and utilization on the eco-environment are becoming more and more complex. This study integrated heterogeneous data from multiple sources, quantified the energy transition efficiency (ETE) and eco-environment (EE) in China’s provinces using the super-efficiency SBM model and RESI model, and explored their interrelationships using the modified coupled coordination (CCD) model, and clarified the main driving factors using an optimal parameters-based geographical detector (OPGD) model. The results show that: ETE exhibited an upward trend in China, with Shanxi, Anhui, Gansu, and Hebei significantly lower than the other provinces. Meanwhile, EE showed a decreasing trend, particularly in Xinjiang, Gansu, Qinghai, Ningxia and Inner Mongolia as well as Shanghai. Most provinces are in the process of developing from near disequilibrium to primary equilibrium, showing a southeast-high, northwest-low spatial pattern. The dominant factors affecting the coupling of ETE and EE are regional economic development, technology level and green credit. All factor interactions are enhanced to some extent, with the strongest interaction between green credit and urbanization. These findings support adaptive management strategies for coordinating energy transition and ecological sustainability.