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<p>Urban dependence on external resources is fundamental to the formation of the low-carbon innovation collaboration network (LCIC). Consequently, drawing upon Resource Dependence Theory, this study investigates the evolutionary mechanisms of the LCIC. The results indicate that the morphology of the LCIC has transitioned from a monocentric radial configuration to a polycentric pyramidal framework, with the structural status of cities in Central China steadily ascending. The evolution of the network is dually driven by structural dependence and social dependence. Regarding the structural dependence dimension, triadic closure and preferential attachment constitute the primary pathways for sharing low-carbon innovation resources. Within the social dependence dimension, urban social selection behaviors exhibit both a vertical “Matthew effect” and a horizontal “assortative matching effect.” Concerning environmental stabilization mechanisms, multidimensional proximity provides a robust safeguard for cross-regional collaboration. Most prominently, the network trust derived from social proximity significantly suppresses opportunistic tendencies during cooperation. Furthermore, these dual dependence mechanisms do not operate in isolation; urban social selection behaviors can endogenously induce the emergence of specific local topological structures, which subsequently drives the evolution of the overall network morphology.</p>

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Under the lens of resource dependence: how does the low-carbon innovation collaboration network emerge?

  • 期刊论文

  • 发表日期：

    2026年7月7日

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  • Neng Shen,
  • Xiaofei Shang,
  • Wenna Guo

摘要

Urban dependence on external resources is fundamental to the formation of the low-carbon innovation collaboration network (LCIC). Consequently, drawing upon Resource Dependence Theory, this study investigates the evolutionary mechanisms of the LCIC. The results indicate that the morphology of the LCIC has transitioned from a monocentric radial configuration to a polycentric pyramidal framework, with the structural status of cities in Central China steadily ascending. The evolution of the network is dually driven by structural dependence and social dependence. Regarding the structural dependence dimension, triadic closure and preferential attachment constitute the primary pathways for sharing low-carbon innovation resources. Within the social dependence dimension, urban social selection behaviors exhibit both a vertical “Matthew effect” and a horizontal “assortative matching effect.” Concerning environmental stabilization mechanisms, multidimensional proximity provides a robust safeguard for cross-regional collaboration. Most prominently, the network trust derived from social proximity significantly suppresses opportunistic tendencies during cooperation. Furthermore, these dual dependence mechanisms do not operate in isolation; urban social selection behaviors can endogenously induce the emergence of specific local topological structures, which subsequently drives the evolution of the overall network morphology.