创新要素流动对城市群协同创新的影响——基于长三角城市群与长江中游城市群的实证

利用2006-2017年长三角城市群和长江中游城市群共41个地级市面板数据，首先，运用拓展DEA法对两大城市群协同创新水平进行测度，然后，采用空间计量模型实证考察创新要素流动对城市群协同创新的影响，进一步以互联网发展水平为门限变量，构建门限模型，探析互联网发展对创新要素在城市群流动的协同创新效应是否存在门限效应。研究发现：创新要素流动对城市群协同创新影响的总效应显著为正，空间正向溢出效应显著，且存在群际差异；在两大城市群内，创新要素流动对城市群协同创新影响呈现非线性，创新人员流动对城市群协同创新影响呈“倒U型”特征，创新资本流动对城市群协同创新影响呈“U型”关系，相应拐点在不同城市群呈现异质性。

Research on the Impact of Innovation Factor Flow on Synergetic Innovation of Urban Agglomeration

Based on the panel data of 41 cities in the Yangtze River Delta urban agglomeration and the middle reaches of the Yangtze River from 2006 to 2017, this paper first measures the level of synergetic innovation of the two urban agglomerations by using the extended DEA method, and then establishes a spatial econometric model to empirically examine the impact of the flow of innovation factors on the synergetic innovation of urban agglomerations. Further, taking the level of Internet development as the threshold variable, this paper constructs a threshold model to explores whether the level of Internet development has a threshold effect on the synergetic innovation effect of innovation factor flow in urban agglomeration. The results show that the total effect of innovation factor flow on synergetic innovation of urban agglomerations is significantly positive, the positive spatial spillover effect is obvious, and there are differences between groups; in the two urban agglomerations, the impact of innovation factor flow on synergetic innovation of urban agglomerations is non-linear, and the impact of innovative personnel flow on synergetic innovation of urban agglomerations is “inverted u-shaped”.The impact of innovative capital flow on synergistic innovation of urban agglomerations is “u-shaped”, and the inflection points are heterogeneous in different urban agglomerations.