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<p>This study examines data from 30 cities within the Central Plains Urban Agglomeration (CPUA) over the period from 2006 to 2020. An improved gravity model is first employed to construct the spatial correlation network of carbon emission efficiency (CEF) across these cities. Social network analysis is then applied to explore the overall characteristics of the network, the attributes of individual cities, and spatial clustering patterns. Finally, the quadratic assignment procedure (QAP) is utilized to identify the key factors influencing CEF and to analyze their formation mechanisms. The results reveal that the evolution of CEF in the CPUA can be divided into three distinct phases: an initial growth phase (2006–2012), a period of fluctuating decline (2012–2018), and a renewed growth phase (2018–2020). Furthermore, the spatial correlation network exhibits a pronounced "core–edge" structure, with predominantly intra-regional linkages and a significant "club clustering effect." In addition, the influence and intensity of various factors on the CEF spatial network are found to differ markedly.</p>

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Study on the spatial correlation network of carbon emission efficiency and its influencing factors in the central plains urban agglomeration

  • 期刊论文

  • 发表日期：

    2025年4月24日

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  • Pengzhen Liu,
  • Shanming Jia,
  • Le Liu

摘要

This study examines data from 30 cities within the Central Plains Urban Agglomeration (CPUA) over the period from 2006 to 2020. An improved gravity model is first employed to construct the spatial correlation network of carbon emission efficiency (CEF) across these cities. Social network analysis is then applied to explore the overall characteristics of the network, the attributes of individual cities, and spatial clustering patterns. Finally, the quadratic assignment procedure (QAP) is utilized to identify the key factors influencing CEF and to analyze their formation mechanisms. The results reveal that the evolution of CEF in the CPUA can be divided into three distinct phases: an initial growth phase (2006–2012), a period of fluctuating decline (2012–2018), and a renewed growth phase (2018–2020). Furthermore, the spatial correlation network exhibits a pronounced "core–edge" structure, with predominantly intra-regional linkages and a significant "club clustering effect." In addition, the influence and intensity of various factors on the CEF spatial network are found to differ markedly.