Table 8 Results of principal component analysis and multiple regression analysis of carbon emissions in the service sector.
From: Carbon factor inventory and weight in rural communities: a case study of Linpan in western Sichuan
| Â | Â | B1 | B2 | B3 | B4 | B5 | B6 | B7 | B8 |
|---|---|---|---|---|---|---|---|---|---|
Principal component | 1 | 0.983 | 0.925 | 0.928 | 0.899 | −0.027 | −0.036 | −0.079 | −0.066 |
2 | −0.027 | −0.026 | −0.022 | −0.024 | 0.968 | 0.967 | −0.049 | −0.039 | |
3 | −0.066 | −0.063 | −0.053 | −0.059 | −0.039 | −0.052 | 0.923 | 0.925 | |
Initial eigenvalue | 1 | 3.521 | 3.313 | 3.324 | 3.22 | −0.097 | −0.129 | −0.283 | −0.236 |
2 | −0.053 | −0.051 | −0.044 | −0.048 | 1.917 | 1.915 | −0.097 | −0.077 | |
3 | −0.102 | −0.098 | −0.082 | −0.091 | −0.06 | −0.08 | 1.429 | 1.432 | |
Principal component standardization coefficient | 1 | 1.864 | |||||||
2 | 1.241 | ||||||||
3 | 1.218 | ||||||||
Standardized coefficients of final regression analysis | 6.373 | 5.993 | 6.042 | 5.832 | 2.125 | 2.038 | 1.092 | 1.208 | |
Standardized regression coefficient ranking | 1 | 3 | 2 | 4 | 5 | 6 | 8 | 7 | |
Mean value | 0.217 | 1.133 | 0.093 | 0.001 | 0.01 | 0.174 | 0.054 | 0.061 | |
Standard deviation | 0.738 | 4.078 | 0.358 | 0.005 | 0.056 | 0.886 | 0.116 | 0.143 | |
Final coefficient of multiple regression analysis | 8.64 | 1.47 | 16.857 | 1071.774 | 37.809 | 2.301 | 9.381 | 8.424 | |
Original variable regression coefficient ranking | 5 | 8 | 3 | 1 | 2 | 7 | 4 | 6 | |
