Research Article
Forecasting CO2 Emissions in China’s Construction Industry Based on the Weighted Adaboost-ENN Model and Scenario Analysis
Table 4
The correlation coefficient matrix between 14 influencing factors.
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| Coal | Coke | Gasoline | Kerosene | Diesel | Fuel oil | Natural gas | Electricity | | | | | | |
| Coal | 1.000 | | | | | | | | | | | | | | Coke | 0.748 | 1.000 | | | | | | | | | | | | | Gasoline | -0.835 | -0.809 | 1.000 | | | | | | | | | | | | Kerosene | 0.420 | 0.558 | -0.621 | 1.000 | | | | | | | | | | | Diesel | 0.504 | 0.648 | -0.845 | 0.490 | 1.000 | | | | | | | | | | Fuel oil | -0.562 | -0.448 | 0.485 | 0.023 | -0.612 | 1.000 | | | | | | | | | Natural gas | 0.194 | 0.653 | -0.484 | 0.439 | 0.494 | -0.074 | 1.000 | | | | | | | | Electricity | -0.794 | -0.901 | 0.757 | -0.573 | -0.629 | 0.576 | -0.383 | 1.000 | | | | | | | | 0.841 | 0.950 | -0.825 | 0.547 | 0.652 | -0.548 | 0.477 | -0.976 | 1.000 | | | | | | | 0.332 | -0.024 | -0.358 | -0.208 | 0.394 | -0.488 | -0.233 | -0.004 | 0.085 | 1.000 | | | | | | 0.762 | 0.822 | -0.722 | 0.258 | 0.631 | -0.676 | 0.313 | -0.843 | 0.884 | 0.374 | 1.000 | | | | | -0.667 | -0.687 | 0.736 | -0.636 | -0.668 | 0.452 | -0.257 | 0.833 | -0.806 | -0.122 | -0.582 | 1.000 | | | | -0.824 | -0.828 | 0.909 | -0.671 | -0.772 | 0.495 | -0.362 | 0.907 | -0.918 | -0.211 | -0.757 | 0.931 | 1.000 | | | -0.865 | -0.857 | 0.914 | -0.636 | -0.742 | 0.505 | -0.371 | 0.922 | -0.944 | -0.224 | -0.805 | 0.901 | 0.994 | 1.000 |
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Note: indicates energy structure. |