Research Article

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

Table 3

Data of remaining 21 variables and IWUC after standardization.

APATRFDIPRAAPALWPWPWCPIFPGDPRPAGCACPSSTWSIAHWSIAEIASAWPIWUC

1997−0.66−0.960.170.020.85−2.321.240.120.521.76−0.95−1.002.081.790.09−0.04−1.40−1.24−1.51−0.57−1.640.00
19982.181.43−1.55−2.290.83−2.321.052.492.57−0.22−0.89−0.961.351.690.63−0.41−1.23−1.10−1.11−0.10−1.342.28
1999−0.200.39−0.55−0.690.890.250.890.250.470.21−0.85−0.911.351.400.51−0.41−1.04−0.96−0.78−0.43−1.080.00
2000−0.08−1.78−0.28−0.280.870.250.740.060.23−0.65−0.82−0.820.370.18−0.870.02−0.85−0.80−0.53−0.55−0.880.00
2001−0.67−0.841.160.670.870.250.60−0.26−0.12−0.14−0.73−0.72−0.48−0.26−1.15−0.77−0.65−0.64−0.37−0.79−0.230.00
20020.670.46−1.05−0.460.870.250.470.270.29−0.82−0.64−0.62−0.84−0.72−1.02−0.46−0.43−0.47−0.33−0.66−0.580.00
20030.05−0.401.441.430.690.250.35−0.03−0.03−2.20−0.53−0.47−1.82−1.53−1.80−0.83−0.21−0.29−0.46−1.080.101.14
2004−1.010.350.940.780.260.250.24−1.31−1.20−0.91−0.27−0.24−0.48−1.14−0.65−0.990.02−0.09−0.280.08−0.081.14
20050.23−0.66−0.170.25−0.160.250.120.190.05−0.48−0.02−0.01−0.36−0.77−0.21−1.040.270.11−0.07−0.590.60−1.14
2006−0.721.020.720.73−0.590.250.02−0.85−0.890.380.240.29−0.230.010.20−0.830.540.350.20−0.640.98−1.14
2007−0.741.731.271.14−0.950.64−1.30−0.88−0.960.380.690.76−0.11−0.060.311.810.800.660.500.430.42−1.14
20080.53−0.14−0.72−0.63−1.190.67−1.39−0.04−0.290.731.181.22−0.23−0.251.121.281.040.901.240.791.15−1.14
2009−1.280.350.060.49−1.480.67−1.48−1.29−1.390.901.491.46−0.23−0.101.181.331.371.491.542.051.200.00
20101.68−0.96−1.44−1.16−1.760.67−1.561.290.751.072.112.03−0.36−0.231.651.331.762.101.962.051.380.00