多尺度视角下技术转移网络对城市创新能力的影响

在多尺度视角下探讨技术转移网络对城市创新能力的影响及机制。结果表明：(1)中国城市技术转移强度空间分布不均衡，技术转移网络等级分布明显。(2)中国技术转移网络全行业网络集中度较高，不同尺度分网络差异显著。(3)不同尺度的技术转移均有助于提升城市创新能力，但存在尺度差异。城市尺度作用最强，国家尺度次之，省域尺度影响最小。说明地理邻近对创新有显著促进作用，同时，知识的复杂程度影响创新，获取知识的复杂程度越高，越有利于提升城市创新能力。

Impact of technology transfer network on urban innovation capability from a multi-scale perspective

With the prosperity of innovation-driven development, the ways to improve city innovation capability is of significant importance. Technology transfer is an important way of promoting knowledge spillovers, ensuring innovation performance and regional development. Technology transfer is not limited to the local level, multi-scale non-local technology transfer also plays an important role on innovation capability. Technology transfer is a process connected of both local and non-local connections. Therefore, this paper explores the impact and mechanisms of technology transfer network on urban innovation capability from a multi-scale perspective. In this paper, we conduct the analysis from three geographic scales, namely cities, provinces and countries. We use the number of licensed patents to indicate the innovation capacity of one city. We further construct a negative binomial regression model to empirically test the multi-scale impacts. The results show that 1) The spatial distribution of technology transfer intensity in China is unbalanced. The technology transfer network displays hierarchical distribution at both provincial and city scale. 2) At the national scale, the network centralization of the whole industry is relatively high. There are differences among different industries. At the provincial scale, different provinces display different network morphology and has various structural characteristics. 3) The regression results show that both local and non-local technology transfer can improve urban innovation capability With the scale increases, the promoting effect changes: the city scale has the strongest effect, followed by the national scale, while the provincial scale comes the last. It shows that geographic proximity has a significant promoting effect on innovation, considering local technology transfer is stronger than non-local one. The complexity of knowledge affects innovation. The higher the complexity of knowledge is, the more beneficial it is to the urban innovation capability. Our results are of great significance for clarifying the impact of multi-scale linkages on city innovation capability. And it's also beneficial for regional coordinated development and urban construction design, and for promoting and implementing China's innovation-driven development strategy.