长三角创新产学合作与企业创新绩效:尺度与效应北大核心CSCDCSSCI

产学合作网络是长三角创新共同体建设的重要方面,而当前经济地理学相关研究集中在“本地/全球”二元尺度讨论上,缺乏多尺度产学合作效应的比较分析。基于IncoPat专利数据,本文从尺度和效应视角探讨了长三角创新产学合作与企业创新绩效的关系,得到以下结论:①长三角创新产学合作的空间格局呈现以省会城市为中心的星芒状结构,核心城市占据的网络优势地位能够助力其在网络中获取创新资源,并且高校资源的不均衡分布特征进一步巩固了省会城市的优势地位,使得长三角创新产学合作格局具有明显的路径依赖特征。②本省与长三角区域尺度创新产学合作对企业创新绩效的影响要显著高于其他尺度。从区域尺度客观看待高校在空间创新进程中的作用尤为重要。③长三角创新产学合作的平均距离与企业创新绩效间呈现显著的倒“U”型关系,并且工科院校产学合作的作用和极值点均要大于综合院校和其他院校。由此,本文提出以下建议:一方面应该加快推进以区域尺度创新产学合作为重点的产学合作体系建设;另一方面应当强化薄弱地区产学合作的多尺度耦合网络建设,着力提升薄弱地区的网络地位。

Innovation industry-university cooperation and enterprise innovation performance in the Yangtze River Delta:Scale and effect

Industry-university cooperation network is an important aspect of the construction of the innovation community in the Yangtze River Delta (YRD). However, the current economic geography research focuses on the local scale and global scale. More omparative research on the effect of multi-scale industry-university cooperation needs to be carried out by economic geographers. Based on the IncoPat patent data from 2001-2017, this paper discusses the relationship between innovation industry-university cooperation and enterprise innovation performance from the perspective of scale and effect. Spatial pattern analysis and panel OLS analysis are the main methods used in this paper. The conclusions of this paper are as follows: (1) The spatial pattern of innovation industry-university cooperation in the Yangtze River Delta presents a star-shaped structure with provincial capital cities as the center. The dominant position of core cities in the network can help themselves to obtain innovation resources in the network. And the unbalanced distribution of university resources further consolidates the dominant position of provincial capital cities, which makes the pattern of innovation industry-university cooperation in the YRD have obvious characteristics of path dependence. (2) The impact of innovation industry-university cooperation on enterprise innovation performance in provincial and regional scales is significantly higher than that in other scales. On the one hand, the optimal scale of innovation industry-university cooperation has gradually evolved from the provincial scale to the regional scale during the integration of the YRD. On the other hand, the regional service characteristics of universities lead to the regional attribute of innovation industry-university cooperation. Therefore, the local or global scale has little explanatory power for the law of industry-university cooperation in China. It is particularly important to objectively view the role of universities in the process of spatial innovation from the regional scale. (3) There is a significant inverted "U" relationship between the average distance of innovation industry-university cooperation and enterprise innovation performance in the YRD. And the role and extreme point of innovation industry-university cooperation in engineering colleges are the largest among all types of colleges. Therefore, we need to pay attention to the differences brought about by the types of universities. This paper puts forward the following suggestions. We should speed up the construction of industry-university cooperation system focusing on regional scale. In addition, we should strengthen the construction of multi-scale coupling network of industry university cooperation in weak areas, and strive to enhance the network status of weak areas.