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<p>Escalating global climate change imposes critical challenges on urban carbon mitigation in China, necessitating urgent exploration of regional collaborative mechanisms for low-carbon transitions. This study innovatively integrates a super-efficiency non-radial slack-based measure data envelopment analysis model with social network analysis to investigate carbon total factor productivity dynamics and the topological features of the carbon total factor productivity network across 278 cities (2000–2022). Quadratic assignment procedure deciphers driving mechanisms through relational matrices. Key findings reveal that the carbon total factor productivity demonstrates wave-like progression with distinct east-high-west-low spatial gradients. The carbon total factor productivity network sustains stable network efficiency and average path length, indicating persistent collaboration inefficiencies. Core–periphery structures coupled with Matthew effects in low-carbon technology diffusion exacerbate regional disparities. Quadratic assignment procedure confirms governmental interventions, and fiscal investments enhance network synergies, whereas energy consumption and tertiary industry value-added disparities foster carbon lock-in effects, warranting vigilance against diminishing policy returns. This research proposes topology-optimized strategies for multi-scale carbon governance.</p> Graphical abstract <p></p>

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Networked urban responses to climate change: carbon efficiency and collaborative adaptation in Chinese cities

  • 期刊论文

  • 发表日期：

    2026年6月3日

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  • Chenggang Zhang,
  • Huifang Liu,
  • Weirong Fang

摘要

Escalating global climate change imposes critical challenges on urban carbon mitigation in China, necessitating urgent exploration of regional collaborative mechanisms for low-carbon transitions. This study innovatively integrates a super-efficiency non-radial slack-based measure data envelopment analysis model with social network analysis to investigate carbon total factor productivity dynamics and the topological features of the carbon total factor productivity network across 278 cities (2000–2022). Quadratic assignment procedure deciphers driving mechanisms through relational matrices. Key findings reveal that the carbon total factor productivity demonstrates wave-like progression with distinct east-high-west-low spatial gradients. The carbon total factor productivity network sustains stable network efficiency and average path length, indicating persistent collaboration inefficiencies. Core–periphery structures coupled with Matthew effects in low-carbon technology diffusion exacerbate regional disparities. Quadratic assignment procedure confirms governmental interventions, and fiscal investments enhance network synergies, whereas energy consumption and tertiary industry value-added disparities foster carbon lock-in effects, warranting vigilance against diminishing policy returns. This research proposes topology-optimized strategies for multi-scale carbon governance.

Graphical abstract