发表机构
Scuola Superiore Sant’anna; Università di Torino; University College London（圣安娜高等研究院; 都灵大学; 伦敦大学学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究利用2006-2020年中国26个省级区域数据，通过网络计量方法发现区域间AI合著论文的知识溢出促进AI专利产出，但收益集中于私营企业主导研发的区域，加剧区域分化。
AI 中文摘要
知识溢出在很大程度上被研究为通过地理邻近性扩散的意外外部性，而有意构建的区域间网络则主要通过共同发明人关系而非合著论文所承载的科学层面来考察。本研究探讨区域间人工智能相关合著论文的溢出是否提升区域人工智能专利产出，以及区域研发的所有权结构是否影响其利用这些溢出的能力。采用网络计量经济学方法，基于2006年至2020年中国26个省级区域的数据，我们发现合著论文溢出促进人工智能专利产出，但收益几乎完全集中于私营企业主导研发的区域，从而加剧了区域分化。
英文摘要
Knowledge spillovers have largely been studied as unintended externalities diffusing through geographic proximity, while deliberate interregional networks have been examined mostly through co-inventor ties rather than the scientific layer carried by co-authored publications. This study asks whether spillovers from interregional AI-related co-publications increase regional AI patenting, and whether the ownership composition of regional R&D shapes the capacity to capitalize on them. Using a network-econometric approach across 26 Chinese provincial-level regions from 2006 to 2020, we find that co-publication spillovers foster AI patenting, but the returns concentrate almost entirely in regions where privately owned enterprises dominate R&D, reinforcing regional divergence.
