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<p>Urban low-carbon advancement is vital to alleviate global warming and foster environmental sustainability. This study constructed a county-level evaluation model for low-carbon development by using a combined AHP-CRITIC method and conducted GIS spatial analysis to study the temporal and spatial progression and spatial variation of low-carbon development levels in 40 counties of Jiangsu Province from 2015 to 2022. Subsequently, the K-means algorithm was utilized to categorize the 40 counties into distinct spatial clusters. The findings showed consistent growth in the low-carbon development of Jiangsu's counties. However, since 2021, this improvement had shown signs of slowing down. Spatially, Jiangsu Province's county-scale low-carbon progress showed a distinct "north–south gradient," with higher levels in the south. Notably, southern counties such as Kunshan, Taicang, and Changshu formed stable "high-high" clusters. However, this regional disparity gradually weakened, as cold-spot areas in the north shifted toward sub-cold-spot zones and increasingly deviated from the previous "low-low" homogeneity. The center of gravity for low-carbon development consistently shifted northwestward from 2015 to 2022. Ultimately, the 40 counties were classified into five distinct spatial clustering types, each displaying significant differences across various development dimensions. It is crucial to enhance inter-regional resource complementarity and coordinated development to ensure that low-carbon transition strategies align with local conditions and enable the implementation of differentiated transition pathways.</p>

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Spatiotemporal evolution and clustering of low-carbon development at the county level: evidence from Jiangsu Province, China

  • 期刊论文

  • 发表日期：

    2025年9月13日

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  • Dezhi Li,
  • Yuqian Sun,
  • Xiongwei Zhu,
  • Yu Wang,
  • Guanying Huang

摘要

Urban low-carbon advancement is vital to alleviate global warming and foster environmental sustainability. This study constructed a county-level evaluation model for low-carbon development by using a combined AHP-CRITIC method and conducted GIS spatial analysis to study the temporal and spatial progression and spatial variation of low-carbon development levels in 40 counties of Jiangsu Province from 2015 to 2022. Subsequently, the K-means algorithm was utilized to categorize the 40 counties into distinct spatial clusters. The findings showed consistent growth in the low-carbon development of Jiangsu's counties. However, since 2021, this improvement had shown signs of slowing down. Spatially, Jiangsu Province's county-scale low-carbon progress showed a distinct "north–south gradient," with higher levels in the south. Notably, southern counties such as Kunshan, Taicang, and Changshu formed stable "high-high" clusters. However, this regional disparity gradually weakened, as cold-spot areas in the north shifted toward sub-cold-spot zones and increasingly deviated from the previous "low-low" homogeneity. The center of gravity for low-carbon development consistently shifted northwestward from 2015 to 2022. Ultimately, the 40 counties were classified into five distinct spatial clustering types, each displaying significant differences across various development dimensions. It is crucial to enhance inter-regional resource complementarity and coordinated development to ensure that low-carbon transition strategies align with local conditions and enable the implementation of differentiated transition pathways.