中国高耗能产品生产与区域PM2.5浓度的动态关联效应——基于省级尺度的分析
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金凤君, 林美含, 张晓平, 李润奎
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Dynamic correlation of energy-intensive industrial output and regional PM2.5 concentration in China from a provincial perspective
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JIN Fengjun, LIN Meihan, ZHANG Xiaoping, LI Runkui
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表5 PVAR模型各变量之间的因果检验结果
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Tab. 5 Causality test results between variables in PVAR model
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原假设 | 滞后阶数 | 1 | 2 | 3 | 4 | Ther不是PM的Granger原因 | 0.972 | 2.457** | 5.674*** | 4.834*** | Cem不是PM的Granger原因 | 2.825*** | 3.383*** | 3.790*** | 5.364*** | Ste不是PM的Granger原因 | 1.255 | 1.229 | 0.366 | 9.292*** | Coke不是PM的Granger原因 | 0.526 | 1.903* | 4.434*** | 6.508*** | PM不是Ther的Granger原因 | 1.837* | 3.392*** | 4.161*** | 10.530*** | PM不是Cem的Granger原因 | 2.110** | 1.989* | 7.187*** | 10.423*** | PM不是Ste的Granger原因 | 1.665* | 1.777* | 2.688*** | 6.727*** | PM不是Coke的Granger原因 | 5.133*** | 6.086*** | 7.321*** | 8.155*** |
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