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<p>This study explores the evolutionary characteristics and driving factors of innovative cooperation networks in the field of carbon capture, utilization, and storage (CCUS) technology in China, laying a foundation for the governance of those networks. Taking the patents in the field of CCUS technology in China as the research object, this study analyzes the evolutionary characteristics of innovative cooperation networks based on social network theory. The exponential random graph model (ERGM) reveals the factors driving the evolution of innovative cooperation networks from three perspectives: endogenous structure, node assortment, and node attribute. Based on the technology life cycle theory and the network topology characteristics of each stage, this study reveals a four-stage evolution of the China CCUS innovation network, including the fragmented exploration network (1988–2007), the star-shaped radiation network (2008–2011), the multi-core structured network (2012–2018), and the cross-domain synergistic integration network. ERGM analysis indicates that star-shaped structures and closed triads are the core endogenous driving forces promoting the evolution of the innovation collaboration network in the CCUS technology field. The geographical adjacency effect weakens as the stages progress. The promoting effect of organizational assortment on network evolution and development begins to emerge. In contrast, the role of R&amp;D capability shifts from facilitation to inhibition, and the “Matthew Effect” becomes ineffective. Meanwhile, the structural hole inhibition effect reveals the predicament of technological barriers. Constructing an efficient and interactive innovation collaboration network for CCUS in China requires adherence to the rigid coupling requirements inherent in the CCUS technology chain. It is essential to enhance substantive collaboration based on geographical adjacency while addressing collaboration barriers arising from structural hole effects and technological monopolies.</p>

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Evolutionary characteristics and driving factors of innovative cooperation networks in the field of CCUS technology in China

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月19日

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  • Zhiqi Zhao,
  • Yanyin Cui

摘要

This study explores the evolutionary characteristics and driving factors of innovative cooperation networks in the field of carbon capture, utilization, and storage (CCUS) technology in China, laying a foundation for the governance of those networks. Taking the patents in the field of CCUS technology in China as the research object, this study analyzes the evolutionary characteristics of innovative cooperation networks based on social network theory. The exponential random graph model (ERGM) reveals the factors driving the evolution of innovative cooperation networks from three perspectives: endogenous structure, node assortment, and node attribute. Based on the technology life cycle theory and the network topology characteristics of each stage, this study reveals a four-stage evolution of the China CCUS innovation network, including the fragmented exploration network (1988–2007), the star-shaped radiation network (2008–2011), the multi-core structured network (2012–2018), and the cross-domain synergistic integration network. ERGM analysis indicates that star-shaped structures and closed triads are the core endogenous driving forces promoting the evolution of the innovation collaboration network in the CCUS technology field. The geographical adjacency effect weakens as the stages progress. The promoting effect of organizational assortment on network evolution and development begins to emerge. In contrast, the role of R&D capability shifts from facilitation to inhibition, and the “Matthew Effect” becomes ineffective. Meanwhile, the structural hole inhibition effect reveals the predicament of technological barriers. Constructing an efficient and interactive innovation collaboration network for CCUS in China requires adherence to the rigid coupling requirements inherent in the CCUS technology chain. It is essential to enhance substantive collaboration based on geographical adjacency while addressing collaboration barriers arising from structural hole effects and technological monopolies.