【摘要】 以往研究更多集中于探究工业智能化产生的直接经济效益，却较少关注智能技术应用对产业集聚发展趋势的影响。基于此，本文采用2013—2022年的省份面板数据，从智能化基础条件、智能化技术创新和智能化生产应用三个维度测算了各省份的工业智能化水平，并考察了工业智能化对数字空间虚拟集聚和地理空间产业集聚水平的影响，探究不同集聚形态下产业集聚模式、企业运营效率和生产率的差异化特征。研究发现：工业智能化显著提高了数字空间的虚拟集聚水平，但是降低了地理空间的产业集聚程度；数字空间和地理空间下的产业集聚模式存在差异，工业智能化促进数字空间虚拟集聚趋向产业多元化，地理空间产业集聚则呈现专业化特征；工业智能化在提升数字空间和地理空间产业集聚区域的企业运营效率和劳动生产率方面发挥着重要作用，但在数字空间虚拟集聚程度较高的地区，其对全要素生产率的积极影响尤为显著。更多还原

【Abstract】 Previous studies have focused more on exploring the direct economic effects of industrial intelligence, but less on the impact of industrial intelligence on industrial agglomeration.Based on this, the paper uses provincial panel data from 2013 to 2022 to measure the level of industrial intelligence from the three dimensions of intelligent basic conditions, intelligent technological innovation and intelligent production application.We examine the impact of industrial intelligence on digital space virtual agglomeration and geospatial industrial agglomeration, and explore the differentiated characteristics of industrial agglomeration patterns, firm operational efficiency and productivity across different types of agglomeration.Main findings include that: Industrial intelligence significantly increases the level of digital space virtual agglomeration, but reduces geospatial industrial agglomeration.There are differences in the patterns of virtual agglomeration and geospatial industrial agglomeration.Industrial intelligence promotes the industrial diversification of virtual agglomeration, while geospatial industrial agglomeration tends to specialization.The industrial intelligence plays an important role in enhancing firm operational efficiency and productivity of digital space virtual agglomeration and geospatial industrial agglomerations, but it has a particularly significant positive impact on total factor productivity in areas with high degrees of virtual agglomeration in digital space.更多还原