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

金凤君, 林美含, 张晓平, 李润奎

Dynamic correlation of energy-intensive industrial output and regional PM2.5 concentration in China from a provincial perspective

JIN Fengjun, LIN Meihan, ZHANG Xiaoping, LI Runkui

表6 方差分解结果

Tab. 6 Variance decomposition results

s PM Ther PM Cem PM Ste PM Coke 1 PM 1 0 PM 1 0 PM 1 0 PM 1 0 1 Ther 0.381 0.619 Cem 0.005 0.995 Ste 0.118 0.882 Coke 0.046 0.954 2 PM 0.848 0.152 PM 0.999 0.001 PM 0.948 0.052 PM 0.974 0.026 2 Ther 0.180 0.820 Cem 0.007 0.993 Ste 0.279 0.721 Coke 0.203 0.797 3 PM 0.842 0.158 PM 0.995 0.005 PM 0.810 0.190 PM 0.953 0.047 3 Ther 0.231 0.769 Cem 0.015 0.985 Ste 0.472 0.528 Coke 0.382 0.618 4 PM 0.844 0.156 PM 0.991 0.009 PM 0.715 0.285 PM 0.939 0.061 4 Ther 0.316 0.684 Cem 0.055 0.945 Ste 0.646 0.354 Coke 0.522 0.478 5 PM 0.835 0.165 PM 0.988 0.012 PM 0.677 0.323 PM 0.921 0.079 5 Ther 0.342 0.658 Cem 0.096 0.904 Ste 0.750 0.250 Coke 0.605 0.395 6 PM 0.835 0.165 PM 0.985 0.015 PM 0.691 0.309 PM 0.911 0.089 6 Ther 0.345 0.655 Cem 0.127 0.873 Ste 0.781 0.219 Coke 0.646 0.354 10 PM 0.835 0.165 PM 0.982 0.018 PM 0.679 0.321 PM 0.910 0.090 10 Ther 0.343 0.657 Cem 0.183 0.817 Ste 0.682 0.318 Coke 0.653 0.347 15 PM 0.835 0.165 PM 0.981 0.019 PM 0.678 0.322 PM 0.907 0.093 15 Ther 0.343 0.657 Cem 0.189 0.811 Ste 0.671 0.329 Coke 0.658 0.342 20 PM 0.835 0.165 PM 0.981 0.019 PM 0.668 0.332 PM 0.907 0.093 20 Ther 0.343 0.657 Cem 0.189 0.811 Ste 0.674 0.326 Coke 0.658 0.342 25 PM 0.835 0.165 PM 0.981 0.019 PM 0.661 0.339 PM 0.907 0.093 25 Ther 0.343 0.657 Cem 0.189 0.811 Ste 0.671 0.329 Coke 0.658 0.342 30 PM 0.835 0.165 PM 0.981 0.019 PM 0.658 0.342 PM 0.907 0.093 30 Ther 0.343 0.657 Cem 0.189 0.811 Ste 0.668 0.332 Coke 0.658 0.342