Abstract: Cross-regional collaborative innovation is an important way to promote the emergence of new quality productivity, and governments at all levels guide enterprises to cross-regional collaborative innovation by formulating innovation policies. Therefore, it is of great significance to explore the influence mechanism of policy and intergovernmental relations on cross-regional collaborative innovation. The article constructs a cross-regional collaborative innovation impact analysis model based on the characteristics of innovation policies and inter-governmental relations and their differences, and conducts an empirical study on the artificial intelligence industry in the Yangtze River Delta region with the help of the TERGMs model. The study shows that: (1) the level of policy characteristics: the greater the innovation policy strength, the smaller the policy volatility, and the greater the financial support are favorable to cross-regional collaborative innovation; (2) the level of inter-governmental relations: the stronger the policy response is, the more favorable it is to cross-regional collaborative innovation; and (3) the level of policy differences: the greater the difference in the strength of innovation policies, the smaller the difference in the policy volatility, the greater the correlation of the policy content, and the greater the difference in the policy response is more favorable to cross-regional collaborative innovation. The conclusions of the study can provide a theoretical basis for the government to optimize the innovation policy to guide cross-regional collaborative innovation.

摘要： 跨区域合作创新是促进新质生产力涌现的重要途径，各级政府通过制定创新政策引导企业跨区域合作创新。因而探究跨区域合作创新的政策与府际关系影响机制有着重要意义。文章基于创新政策与府际关系特征及其差异性构建跨区域合作影响分析模型，借助TERGMs模型对长三角地区人工智能产业进行实证研究。研究表明：(1)政策特征层面：创新政策力度越大、政策波动度越小，财政支持力度越大越有利于跨区域合作创新；(2)府际关系层面：政策响应越强，越有利于跨区域合作创新；（3）政策差异层面：创新政策力度差异越大、政策波动差异越小、政策内容关联越大、政策响应差异越大越有利于跨区域合作创新。研究结论可以为政府优化引导跨区域合作创新的创新政策提供理论依据。