将能源和环境作为投入要素纳入传统的产出密度模型,就工业集聚对城市绿色创新效率的影响机制进行理论阐释。在此基础上,以2003-2018年粤港澳大湾区9个城市的数据为样本,采用考虑非期望产出的超效率SBM模型对城市绿色创新效率进行测算,并运用空间杜宾模型和面板门槛模型实证检验工业集聚对城市绿色创新效率的影响。结果表明：粤港澳大湾区9个城市的绿色创新效率整体呈波动上升趋势,但城市间差异显著；城市绿色创新效率存在显著的正向空间溢出效应,工业集聚对绿色创新效率的影响呈倒“U”型；工业集聚对粤港澳大湾区城市绿色创新效率的影响显著存在环境规制、工业企业规模和政府支持力度的门槛效应。基于此,提出促进粤港澳大湾区城市绿色创新效率全面提升的政策建议。

This paper introduces energy and environment as input factors into the traditional production density model, and theoretically explains the influence mechanism of industrial agglomeration on the cities" green innovation efficiency. Based on the data of 9 cities in the Guangdong-Hong Kong-Macao Greater Bay Area from 2003 to 2018, we use the super-efficiency SBM model considering undesired output to measure the cities" green innovation efficiency and use the spatial Dubin model and the panel threshold model to empirically test the impact of industrial agglomeration on the green innovation efficiency of cities. The research shows that: the overall green innovation efficiency of 9 cities in the Guangdong-Hong Kong-Macao Greater Bay Area shows a fluctuating upward trend, but there are significant differences between cities. The cities" green innovation efficiency has a significant positive spatial spillover effect. The impact of industrial agglomeration on the efficiency of green innovation is an inverted U-shaped, and the impact of industrial agglomeration on the efficiency of green innovation in the Guangdong-Hong Kong-Macao Greater Bay Area has significant threshold effects on environmental regulations, industrial enterprise scale and government support. Finally, this paper puts forward policy recommendations to promote the overall improvement of green innovation efficiency of cities in the Guangdong-Hong Kong-Macao Greater Bay Area.

F124.3；F204；G301

国家社会科学基金项目“中美贸易关系新形势下我国先进制造业升级路径研究”（19BJY098）。