Research Article

Driven Factors Analysis of China’s Irrigation Water Use Efficiency by Stepwise Regression and Principal Component Analysis

Table 6

The 13 principal components.

FAC_1FAC_2FAC_3FAC_4FAC_5FAC_6FAC_7FAC_8FAC_9FAC_10FAC_11FAC_12FAC_13FIO

−13.03.764.73−1.190.77−0.32−0.11−0.050.00−0.130.02−0.04−0.031.82
−14.111.59−1.631.790.39−0.27−0.060.11−0.03−0.160.01−0.02−0.031.55
−8.922.901.710.22−0.82−0.280.230.260.03−0.060.01−0.03−0.021.15
−7.74−0.95−0.60−1.74−0.400.35−0.040.13−0.06−0.110.020.00−0.030.63
−5.80−5.100.07−0.810.170.05−0.050.150.22−0.05−0.05−0.02−0.020.38
−5.54−1.01−2.780.55−0.600.11−0.22−0.220.11−0.020.02−0.02−0.020.14
−4.17−8.75−3.370.220.590.50−0.360.240.070.010.02−0.020.00−0.20
−0.38−6.830.430.42−0.25−0.30−0.440.05−0.040.02−0.060.010.000.02
−0.12−1.87−1.89−0.500.05−0.45−0.150.06−0.040.09−0.01−0.02−0.01−0.45
3.60−3.421.400.950.01−0.64−0.040.030.080.080.010.030.01−0.82
9.73−2.422.601.610.220.880.33−0.07−0.050.07−0.010.020.01−0.95
12.123.49−0.49−0.31−0.210.250.29−0.25−0.110.04−0.050.020.04−0.96
16.91−0.132.58−0.09−0.220.090.13−0.22−0.090.050.060.030.05−1.11
17.478.74−2.75−1.140.300.030.49−0.21−0.070.160.010.050.06−1.19