科技创新是实现工业动能转换和全要素生产率提升的重要因素。本文基于2003-2019年中国大陆30个省份的面板数据，采用系统GMM方法和中介效应模型实证检验科技服务业集聚对工业全要素生产率提升的影响及作用机制。研究结果表明：（1）科技服务业集聚显著促进工业全要素生产率提升，该结论在更换变量测度和模型估计方法后仍然稳健。（2）时间异质性检验表明，与2003-2013年相比，该促进作用在2014后显著增强，符合我国加快科技服务业发展的政策预期。（3）中介效应检验结果表明，科技服务业集聚通过驱动工业全链条创新、降低工业交易成本、促进工业结构优化升级三个渠道间接提升工业全要素生产率。本研究为推动创新链与产业链深度融合，实现科技创新引领工业高质量发展提供了理论参考与政策启示。

Scientific and technological innovation is an important factor in realizing industrial kinetic energy conversion and efficiency improvement. Based on the panel data of 30 provinces in mainland China from 2003 to 2019, this paper uses the system generalized method of moments and the mediating effect model to empirically test the impact and mechanism of science and technology service industry agglomeration on the improvement of industrial total factor productivity. The research results show that: (1) Science and technology service industry agglomeration significantly promotes the improvement of industrial total factor productivity, and this conclusion is still robust after changing the variable measurement and model estimation methods. (2) The temporal heterogeneity test shows that compared with 2003-2013, the promotion effect has been significantly enhanced after 2014, which is in line with the policy expectation of accelerating the development of science and technology service industry in China. (3) The results of the mediation effect test show that the agglomeration of science and technology service industry indirectly improves industrial total factor productivity through three channels: driving innovation in the entire industrial chain, reducing industrial transaction costs, and promoting the optimization and upgrading of industrial structure. This study provides theoretical reference and policy inspiration for promoting the deep integration of innovation chain and industrial chain and realizing high-quality industrial development led by technological innovation.

国家社会科学基金西部项目“新时代建设现代化经济体系的理论依据及指标体系构建研究”(18XKS009)