中国城市知识合作网络结构演化的影响机制
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戴靓, 曹湛, 马海涛, 纪宇凡
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The influencing mechanisms of evolving structures of China's intercity knowledge collaboration networks
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DAI Liang, CAO Zhan, MA Haitao, JI Yufan
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表4 加权指数随机图模型拟合结果
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Tab. 4 Simulation results of exponential random graph models
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变量类型 | 自变量 | 模型1 | 模型2 | 模型3 | 模型4 | 模型5 | 模型6 | 模型7 | 模型8 | 模型9 | 模型10 | 模型11 | 模型12 | 网络结构变量 | 网络构型 | Edges | -1.660*** | -1.656*** | -1.544*** | -1.384*** | -1.836*** | -1.007*** | -1.070*** | -1.053*** | -1.073*** | -1.059*** | -1.067*** | -1.078*** | | | | (0.021) | (0.032) | (0.003) | (0.057) | (0.013) | (0.054) | (0.060) | (0.057) | (0.069) | (0.072) | (0.061) | (0.062) | | | K-star | 0.478*** | 0.475*** | 0.519*** | 0.560*** | 0.527*** | 0.585*** | 0.594*** | 0.628*** | 0.622*** | 0.634*** | 0.631*** | 0.626*** | | | | (0.011) | (0.014) | (0.002) | (0.020) | (0.003) | (0.019) | (0.023) | (0.021) | (0.028) | (0.024) | (0.024) | (0.021) | 城市属性变量 | 行政等级 | capital | | 0.017 | | | | | | | | | | | (节点协变量) | | | | (0.064) | | | | | | | | | | | | 知识规模 | R&D | | | 0.000*** | | | | | | | | | | | | | | | (0.000) | | | | | | | | | | | | university | | | | 0.050*** | 0.048*** | 0.046*** | 0.047** | 0.047** | 0.047** | 0.048*** | 0.048*** | 0.047*** | | | | | | | (0.002) | (0.001) | (0.002) | (0.002) | (0.002) | (0.003) | (0.003) | (0.003) | (0.002) | | | PGDP | | | | | 0.000*** | | | | | | | | | | | | | | | (0.000) | | | | | | | | | 知识邻近 | HHI | | | | | | -2.256*** | -2.229*** | -2.785*** | -2.501*** | -2.581*** | -2.635*** | -2.629*** | | | | | | | | | (0.347) | (0.369) | (0.303) | (0.302) | (0.256) | (0.285) | (0.378) | | 文化邻近 | dialect | | | | | | | 0.245*** | 0.146** | 0.145** | 0.135** | 0.140** | 0.135** | | | | | | | | | | (0.041) | (0.047) | (0.044) | (0.050) | (0.046) | (0.044) | | 制度邻近 | province | | | | | | | | 1.817*** | 1.490*** | 1.525*** | 1.482*** | 1.514*** | | | | | | | | | | | (0.088) | (0.153) | (0.140) | (0.164) | (0.157) | | | region | | | | | | | | | 0.380** | 0.314** | 0.375** | 0.359** | | | | | | | | | | | | (0.140) | (0.102) | (0.129) | (0.124) | 城际关系变量 | 地理邻近 | distance | | | | | | | | | | -0.067 | | | (边协变量) | | | | | | | | | | | | (0.055) | | | | | HSR | | | | | | | | | | | 0.048** | | | | | | | | | | | | | | | (0.043) | | | 社会邻近 | path | | | | | | | | | | | | 1.133*** | | 路径依赖 | | | | | | | | | | | | | (0.030) | Akaike Inf. Crit. (AIC) | -20627 | -20747 | -20649 | -20808 | -20774 | -21204 | -21183 | -21407 | -21472 | -21660 | -21461 | -22547 | Bayesian Inf. Crit. (BIC) | -20611 | -20724 | -20625 | -20785 | -20743 | -21173 | -21145 | -21360 | -21417 | -21598 | -21399 | -22485 |
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