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<p>Green and low-carbon energy transformation (GLCET) is a crucial condition to fulfill China’s objective of being carbon neutral. Therefore, it is essential to scientifically measure the transformation effect and clarify the influencing factors. Using China’s provincial panel data from 2010 to 2022, this research constructs an assessment framework for green and low-carbon energy transition effectiveness (GLCETE) across four dimensions: growth, greening, pollution reduction, and carbon reduction. Simultaneously, the spatiotemporal evolution of China’s GLCETE is analyzed, the factors influencing GLCETE are investigated based on a spatial econometric model, and relevant policy recommendations are proposed: (1) From 2010 to 2022, China’s GLCETE exhibited an overall upward trend, while regional disparities and spatial agglomeration gradually declined. (2) The GLCETE across provinces showed a gradual evolution from low to high levels. In terms of spatial distribution, it exhibited a stepwise declining pattern in the order of eastern, central, western, and northeastern China. (3) GLCETE is significantly influenced by the level of foreign capital utilization, R&amp;D investment, urbanization, economic development, and government intervention.</p>

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Research on the effect evaluation and influencing factors of green and low-carbon energy transition under a multidimensional index system

  • 期刊论文

  • 发表日期：

    2026年7月7日

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  • Yuping Wu,
  • Yipeng Zhao,
  • Bohui Du,
  • Shibo Wei,
  • Jinghua Yang,
  • Xiangpei Hu

摘要

Green and low-carbon energy transformation (GLCET) is a crucial condition to fulfill China’s objective of being carbon neutral. Therefore, it is essential to scientifically measure the transformation effect and clarify the influencing factors. Using China’s provincial panel data from 2010 to 2022, this research constructs an assessment framework for green and low-carbon energy transition effectiveness (GLCETE) across four dimensions: growth, greening, pollution reduction, and carbon reduction. Simultaneously, the spatiotemporal evolution of China’s GLCETE is analyzed, the factors influencing GLCETE are investigated based on a spatial econometric model, and relevant policy recommendations are proposed: (1) From 2010 to 2022, China’s GLCETE exhibited an overall upward trend, while regional disparities and spatial agglomeration gradually declined. (2) The GLCETE across provinces showed a gradual evolution from low to high levels. In terms of spatial distribution, it exhibited a stepwise declining pattern in the order of eastern, central, western, and northeastern China. (3) GLCETE is significantly influenced by the level of foreign capital utilization, R&D investment, urbanization, economic development, and government intervention.