基于2011～2021年中国A股上市公司样本，将智能制造试点政策视为一项准自然实验，实证检验智能制造对企业数据技术创新的影响及作用机制。研究发现：智能制造政策显著推动了企业数据技术创新。机制分析发现，智能制造通过提升企业信息化能力、提高数据要素投入以及促进知识溢出效应进而驱动了企业数据技术创新。异质性分析显示，智能制造对高市场化地区企业、技术更迭速度快行业企业、制造业企业及大规模企业的数据技术创新的促进作用更为显著。经济后果分析表明，智能制造政策不仅提升了企业创新产出数量，还显著改善了创新质量。

Based on the sample of Chinese A-share listed firms from 2011 to 2021, this study treats the intelligent manufacturing pilot policy as a quasi-natural experiment to empirically examine the impact of intelligent manufacturing on firms’ data technology innovation and its underlying mechanisms. The findings show that the intelligent manufacturing policy has a significantly positive effect on firms’ data technology innovation. Mechanism analysis reveals that this effect operates primarily through enhancing firms’ informatization capabilities, increasing data factor investment, and facilitating knowledge spillovers. Heterogeneity analysis reveals that intelligent manufacturing has a more significant promoting effect on data technology innovation in firms in highly marketized regions, firms in industries with rapid technological iteration, manufacturing firms, and large-scale firms. Furthermore, the economic consequences analysis suggests that the intelligent manufacturing policy not only increases the quantity of firms’ innovation output but also significantly improves its quality.