How Innovation Policies and Intergovernmental Relations Affect Cross-Regional Collaborative Innovation —A Case Study of the Artificial Intelligence Sector in the Yangtze River Delta Region

创新政策与府际关系如何影响跨区域合作创新———以长三角人工智能领域为例

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.