Influencing Factors of Knowledge Cooperation in Urban Agglomeration on Yangtze River Delta from the Perspective of Innovation Network

Abstract

Abstract Based on the perspective of innovation networks, an theoretical and empirical analysis of the influencing factors of the knowledge cooperation network of urban agglomeration on Yangtze River Delta (UA-YRD) in 2009-2013 and 2014-2018 was carried out using social network analysis. The analysis result shows that geographical distance, gap in the level of economic development, institutional proximity, gap in the level of scientific research output, and gap in the level of scientific research input are important factors affecting the knowledge cooperation network of UA-YRD, among which geographical distance, gap in the level of economic development and gap in the level of scientific research output have significant negative impacts on it, while institutional proximity and gap in the level of scientific research input have significant positive impacts on it. The analysis of this article will help to raise the level of knowledge cooperation in the Yangtze Delta, Improve the efficiency of collaborative innovation and improve the integrated development system and mechanism, which will also drive the development of the UA-YRD to a great extent.