中国高碳制造业碳排放时空演变及其驱动因素
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王霞, 张丽君, 秦耀辰, 张晶飞
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Spatiotemporal changes of carbon emissions in high-carbon manufacturing industry in China and driving factors
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WANG Xia, ZHANG Lijun, QIN Yaochen, ZHANG Jingfei
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表3 Han-Phillips GMM估计与检验结果
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Table 3 Han-Phillips GMM estimation and test results
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因素 | 弹性系数 | p值 | 空间滞项 | 弹性系数 | p值 | lnCt-1 | 0.125* | 0.100 | W×lnC | 0.134* | 0.078 | lnP | 0.567*** | 0.000 | W×lnP | -0.449 | 0.458 | lnIS | -0.130* | 0.097 | W×lnIS | -0.114*** | 0.047 | lnT | -0.013 | 0.770 | W×lnT | -0.030* | 0.120 | lnRE | 0.260** | 0.031 | W×lnRE | 0.189* | 0.316 | lnTO | 0.108*** | 0.005 | W×lnTO | -0.029*** | 0.010 | lnFAI | 0.125*** | 0.002 | W×lnFAI | 0.035* | 0.114 | lnFDI R2=0.9987 | 0.058* | 0.105. | W×lnFDI | -0.441* | 0.126
| Root MSE(Sigma)=1.6251 Wald Test =272.6231*** p=0.0000 F-Test=18.1749*** p=0.0000 Log Likelihood Function=122.0125 |
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