A comprehensive evaluation index system was developed for assessing the intelligent innovation capabilities of enterprises, integrating data from A-share listed companies and artificial intelligence policies spanning 2010 to 2022.Employing a multi-period difference-in-differences(DID) approach, the effects and mechanisms were investigated through which artificial intelligence policies enhanced enterprise intelligent innovation capabilities. The findings indicate that these policies facilitate improvements in such capabilities by optimizing resource allocation and signaling positively via three primary channels, which are alleviating financing constraints, augmenting research and development investments, and fostering talent aggregation. Notably, the impact is more pronounced among firms located in eastern regions as well as those classified as SRDI, manufacturing, or information technology enterprises. The conclusions drawn from this research offer significant insights for industrial policy formulation and strategies aimed at bolstering enterprise-level intelligent innovation.

artificial intelligence  /  enterprise intelligent innovation  /  industrial policy  /  staggered DID  /  mechanism test