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创新型城市试点政策与城市产学研知识流动———基于长三角城市群的空间DID 模型分析
引用本文:创新型城市试点政策与城市产学研知识流动———基于长三角城市群的空间DID 模型分析.创新型城市试点政策与城市产学研知识流动———基于长三角城市群的空间DID 模型分析[J].科学学研究,2021,39(9):1671-1682.
作者姓名:创新型城市试点政策与城市产学研知识流动———基于长三角城市群的空间DID  模型分析
作者单位:1. 哈尔滨工业大学;2. 哈尔滨理工大学;
摘    要:文章使用2004-2018年长三角城市群24个城市的面板数据,基于双元性视角采用超效率DEA模型分别测度了产学研知识研发效率和知识转化效率,并基于空间DID模型研究创新型城市试点政策对长三角城市群产学研知识流动效率的影响机制。结果显示:(1)长三角城市群的产学研知识研发效率均值整体高于知识转化效率均值;(2)创新型城市试点对城市产学研知识研发效率和知识转化效率的政策效应均表现为促进作用;(3)城市创新氛围在创新型城市试点政策对产学研知识研发效率和知识转化效率的影响机制中均发挥了部分中介效应;(4)使用动态网络DEA模型重新测度城市产学研知识流动效率并再次进行空间DID模型回归,其结果验证了主回归结果的稳健性。

收稿时间:2020-08-15

Innovative City Pilot Policy and the Knowledge Flow of Urban Industry-University-Research--- Spatial Difference-in-Difference Analysis Based on Yangtze River Delta Urban Agglomeration
Abstract:Based on the innovation value chain theory, this paper divides the efficiency of urban industry-university-research knowledge flow into knowledge research efficiency and knowledge transformation efficiency. The super-efficiency DEA model is used to measure the efficiency of industry-university-research knowledge research and knowledge transformation in the Yangtze River Delta urban agglomeration. On the basis of the spatial DID model to study the impact mechanism of innovative city pilot policy on the efficiency of urban industry-university-research knowledge flow and the mediating effect of urban innovation atmosphere, the dynamic network DEA model is used to re-measure the efficiency of urban industry-university-research knowledge flow, and the regression results are tested for robustness. The main conclusions of this paper are as follows: (1) Generally speaking, the average value of knowledge research efficiency of industry-university-research in the Yangtze River Delta urban agglomeration is higher than knowledge transformation efficiency, and there is spatial heterogeneity in both. And the distribution characteristics of the regions are different. (2) The policy effect of innovative city pilots on the efficiency of urban industry-university-research knowledge flow is promoted, and there is a positive spatial spillover effect between neighboring cities. (3) The innovative city pilot policy has a significant positive impact on the urban innovation atmosphere, and urban innovation atmosphere plays a partial mediating effect in the influence mechanism of innovative city pilot policy on the efficiency of urban industry-university-research knowledge research and the efficiency of knowledge transformation. (4) The results of industry-university-research knowledge research efficiency and knowledge transformation efficiency measured by the dynamic network DEA model are basically consistent with the above, and on this basis, the regression results of the spatial DID model also verify the robustness of the main regression results. Based on the research conclusions, this article proposes the following policy implications. First, the current Yangtze River Delta urban agglomeration should pay more attention to the transformation process of knowledge achievements when constructing and improving the industry-university-research cooperative innovation mechanism. At the same time, in the integration process of the Yangtze River Delta, the government should promote the overall innovation and development of three provinces and one city, especially to guide and drive the construction of an urban industry-university-research collaborative innovation mechanism in Anhui Province, promote the efficiency of its industry-university-research knowledge flow, and further improve the innovation system of Yangtze River Delta urban agglomerations. Second, in the process of implementing pilot policy for innovative cities, local governments should focus on the industry-university-research collaborative innovation, and establish an innovation mechanism involving multi-party of government- industry-university-research. In addition, the Yangtze River Delta urban agglomeration should also concentrate on promoting the development of regional linkages, and actively leverage the synergy of urban innovation. Third, local governments should promote the formation of a positive urban innovation atmosphere in the process of implementing innovative city pilot policy, starting from the three aspects of providing innovation policy support, promoting innovation platform construction, and improving innovation development capabilities. Through this way, the efficiency of urban industry-university-research knowledge flow can be improved.
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