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<p>As industrial systems become increasingly specialized, industrial collaborative agglomeration (ICA), the co-location of manufacturing and producer services, has gained attention for its role in regional development. However, its impact on green technological innovation (GTI), particularly through spatial mechanisms, remains underexplored. This study investigates the “ICA-GTI” relationship from a spatial perspective, using data from Chinese cities (2005–2019). We theoretically discuss and then empirically assess the spatial effects of ICA on GTI by employing a Spatial Durbin Model (SDM), and further introduce a two-regime SDM to account for heterogeneity across cities. The results show: (1) There is a “U-shaped” relationship between ICA and GTI, namely initial inhibition followed by promotion as agglomeration deepens; (2) ICA generates significant spatial spillovers, with neighboring cities showing similar “U-shaped” responses; (3) Heterogeneity analysis reveals asymmetric spatial effects across regions, where more developed or highly agglomerated cities benefit more-revealing a “Matthew Effect” in green innovation diffusion. These findings highlight the importance of spatial heterogeneity and nonlinearity in understanding how ICA shapes regional innovation dynamics and offer novel insights for policymakers seeking to narrow innovation gaps across regions.</p>

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Industrial collaborative agglomeration and green innovation: spatial interactions and regional impacts

  • 期刊论文

  • 发表日期：

    2025年12月25日

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  • Jiaqi Qin,
  • Wenjing Luo,
  • Qian Cheng

摘要

As industrial systems become increasingly specialized, industrial collaborative agglomeration (ICA), the co-location of manufacturing and producer services, has gained attention for its role in regional development. However, its impact on green technological innovation (GTI), particularly through spatial mechanisms, remains underexplored. This study investigates the “ICA-GTI” relationship from a spatial perspective, using data from Chinese cities (2005–2019). We theoretically discuss and then empirically assess the spatial effects of ICA on GTI by employing a Spatial Durbin Model (SDM), and further introduce a two-regime SDM to account for heterogeneity across cities. The results show: (1) There is a “U-shaped” relationship between ICA and GTI, namely initial inhibition followed by promotion as agglomeration deepens; (2) ICA generates significant spatial spillovers, with neighboring cities showing similar “U-shaped” responses; (3) Heterogeneity analysis reveals asymmetric spatial effects across regions, where more developed or highly agglomerated cities benefit more-revealing a “Matthew Effect” in green innovation diffusion. These findings highlight the importance of spatial heterogeneity and nonlinearity in understanding how ICA shapes regional innovation dynamics and offer novel insights for policymakers seeking to narrow innovation gaps across regions.