Research Article
Electricity Demand Projection Using a Path-Coefficient Analysis and BAG-SA Approach: A Case Study of China
Table 2
The direct and indirect contributions of different affecting factors to the electricity demand of China.
| Independent variable | Total effect | Direct effect | Total indirect effect | Indirect effect via | Indirect effect via | Indirect effect via | Indirect effect via | Indirect effect via |
| | 0.946 | 0.329 | 0.617 | — | 0.169 | 0.317 | 0.062 | 0.069 | | 0.935 | 0.173 | 0.762 | 0.321 | — | 0.307 | 0.063 | 0.071 | | 0.942 | 0.320 | 0.622 | 0.326 | 0.166 | — | 0.062 | 0.068 | | 0.579 | 0.142 | 0.437 | 0.338 | −0.168 | 0.337 | — | −0.070 | | −0.929 | −0.072 | −0.857 | −0.318 | −0.170 | −0.305 | −0.064 | — |
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