中国制造业产业结构高级度的时空格局与影响因素
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李建新, 杨永春, 蒋小荣, 梁曼, 郭泉恩
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The spatial-temporal patterns and influencing factors of the industrial structure upgrade of China's manufacturing
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Jianxin LI, Yongchun YANG, Xiaorong JIANG, Man LIANG, Quanen GUO
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表4 空间滞后模型和空间误差模型的估计结果 |
Tab. 4 The estimation results of the spatial lag model and spatial error model |
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变量 | 1998年 | | 2003年 | | 2008年 | | 2013年 | SEM | SLM | SEM | SLM | SEM | SLM | SEM | SLM | 常数 | 1.019 | 0.555 | | 4.892*** | 4.892*** | | -1.447 | -1.150 | | -13.668*** | -15.770*** | lnWAGE | 0.563*** | 0.620 | | 0.013 | 0.016 | | 0.741*** | 0.726*** | | 1.280*** | 1.495*** | lnINOVA | 0.467*** | 0.525 | | 0.011** | 0.011** | | 0.003 | 0.004 | | 0.001 | 0.002 | lnCONSU | -0.087 | -0.082 | | -0.028 | -0.026 | | -0.045 | -0.059 | | 0.203* | 0.159 | lnMANU | 0.149*** | 0.125 | | 0.194*** | 0.196*** | | 0.068 | 0.065 | | 0.018 | 0.017 | lnFDI | -0.077*** | -0.084 | | -0.046** | -0.051** | | -0.017 | -0.014 | | -0.033 | -0.029 | URBAN | -0.128 | -0.064 | | -0.120 | -0.122 | | 0.054 | 0.098 | | 0.038 | 0.086 | ZONE | -0.083 | -0.098 | | 0.095 | 0.105 | | 0.183* | 0.212** | | 0.317** | 0.347** | R2 | 0.266 | 0.220 | | 0.257 | 0.216 | | 0.270 | 0.251 | | 0.338 | 0.292 | Log L | -154.293 | -158.891 | | -172.980 | -177.027 | | -164.376 | -166.305 | | -155.165 | -159.233 | AIC | 324.586 | 335.782 | | 370.555 | 372.055 | | 344.753 | 350.610 | | 326.330 | 336.465 | LM-Error | 10.113*** | | | 8.102*** | | | 3.422* | | | 13.290*** | | Robust LM-Error | 9.231*** | | | 7.598*** | | | 3.721* | | | 9.047*** | | LM-Lag | | 0.978 | | | 0.507 | | | 0.020 | | | 4.425** | Robust LM-Lag | | 0.096 | | | 0.002 | | | 0.319 | | | 0.182 | 空间误差项l | 0.260*** | | | 0.246*** | | | 0.174** | | | 0.313*** | | 空间滞后项r | | 0.018 | | | 0.014 | | | -0.003 | | | 0.121** |
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