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<p>Renewable energy (RE) is a crucial choice for replacing fossil energy in a low-carbon economy, and it is essential for studying the implications of its development for carbon emissions. This paper samples 30 provincial-level data points in China from 2000 to 2021. It employs the spatial Durbin model to identify the nonlinear spatial spillover effect and decompose the effect of RE utilization on regional carbon emission intensity (CEI). The investigation revealed&#xa0;that the CEI has spatial correlation and stable regional aggregation characteristics. RE can reduce the CEI and present a significant nonlinear spatial spillover effect. Among the various impacts, the impact of RE utilization on local CEI shows a gradual increase. In contrast, the impact on the CEI in surrounding areas gradually increased. In addition, the intensity of coal consumption and the degree of openness to the outside world have spatial spillover effects on promoting the CEI of the surrounding district. Conversely, the degree of economic affluence can significantly reduce the CEI of the surrounding district through spatial spillovers.</p> Graphical Abstract <p></p>

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Renewable energy utilization and regional carbon emission reduction: exploring nonlinear spatial spillover effects

  • 期刊论文

  • 发表日期：

    2026年1月14日

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  • Wenwei Lian,
  • Xin Zhao,
  • Junxia Wang,
  • Hongmei Duan,
  • Tianming Gao,
  • Xiaoyan Sun

摘要

Renewable energy (RE) is a crucial choice for replacing fossil energy in a low-carbon economy, and it is essential for studying the implications of its development for carbon emissions. This paper samples 30 provincial-level data points in China from 2000 to 2021. It employs the spatial Durbin model to identify the nonlinear spatial spillover effect and decompose the effect of RE utilization on regional carbon emission intensity (CEI). The investigation revealed that the CEI has spatial correlation and stable regional aggregation characteristics. RE can reduce the CEI and present a significant nonlinear spatial spillover effect. Among the various impacts, the impact of RE utilization on local CEI shows a gradual increase. In contrast, the impact on the CEI in surrounding areas gradually increased. In addition, the intensity of coal consumption and the degree of openness to the outside world have spatial spillover effects on promoting the CEI of the surrounding district. Conversely, the degree of economic affluence can significantly reduce the CEI of the surrounding district through spatial spillovers.

Graphical Abstract