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<p>Amidst global efforts to achieve sustainable industrial development, understanding the dynamics of green collaborative innovation networks (GCINs) is critical for advancing the green transformation of high-end equipment manufacturing industry (HEMI). This study investigates the structural evolution and formation mechanisms of GCINs in the Bohai Rim’s high-end equipment manufacturing sector from 2006 to 2020 using social network analysis (SNA), motif analysis, and temporal exponential random graph models (TERGMs) applied to green technology joint patent data. The findings reveal that: (1) GCINs in the region are expanding in scale, with enterprises playing a dominant role, but strong and stable ties among innovation entities are still lacking; (2) intermediate and fully connected structural motifs have become increasingly significant, indicating enhanced local connectivity; (3) the networks exhibit a clear time dependence and demonstrate strong self-stability; and (4) exogenous factors such as environmental regulation, organizational diversity, geographical proximity, and technological similarity significantly influence the formation of cooperative ties. These findings offer practical guidance for improving regional innovation policy, particularly in enhancing multi-agent cooperation, supporting spatial integration, and expanding heterogeneous innovation linkages, to support the sustainable growth of the HEMI.</p>

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Evolution of green collaborative innovation networks and their formation mechanisms: evidence from high-end equipment manufacturing industry in Bohai Rim Region, China

  • 期刊论文

  • 发表日期：

    2025年5月22日

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  • Zuankuo Liu,
  • Kaixuan Di,
  • Runhan Xu

摘要

Amidst global efforts to achieve sustainable industrial development, understanding the dynamics of green collaborative innovation networks (GCINs) is critical for advancing the green transformation of high-end equipment manufacturing industry (HEMI). This study investigates the structural evolution and formation mechanisms of GCINs in the Bohai Rim’s high-end equipment manufacturing sector from 2006 to 2020 using social network analysis (SNA), motif analysis, and temporal exponential random graph models (TERGMs) applied to green technology joint patent data. The findings reveal that: (1) GCINs in the region are expanding in scale, with enterprises playing a dominant role, but strong and stable ties among innovation entities are still lacking; (2) intermediate and fully connected structural motifs have become increasingly significant, indicating enhanced local connectivity; (3) the networks exhibit a clear time dependence and demonstrate strong self-stability; and (4) exogenous factors such as environmental regulation, organizational diversity, geographical proximity, and technological similarity significantly influence the formation of cooperative ties. These findings offer practical guidance for improving regional innovation policy, particularly in enhancing multi-agent cooperation, supporting spatial integration, and expanding heterogeneous innovation linkages, to support the sustainable growth of the HEMI.