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

Table 9

Data transformation.

	FAC_1	FAC_2	FAC_3	FAC_4	Regression coefficients
	0.287	−0.144	−0.432	0.509
AP	−0.111	0.705	−0.676	0.099	0.209
AT	0.106	0.073	0.185	0.969	0.433
RF	0.012	−0.854	0.328	0.092	0.032
DI	0.196	−0.912	0.253	0.001	0.079
PR	−0.965	−0.180	−0.074	−0.049	−0.244
AA	0.680	−0.480	−0.233	−0.097	0.316
PA	−0.981	−0.068	0.015	−0.063	−0.310
LW	−0.368	0.762	−0.483	0.022	0.005
PW	−0.557	0.715	−0.373	0.015	−0.094
PWC	0.338	0.581	0.650	−0.205	−0.372
PIF	0.973	0.205	−0.032	−0.031	0.248
PGDP	0.981	0.168	−0.035	−0.015	0.265
RPA	−0.444	0.643	0.595	−0.077	−0.516
GCA	−0.425	0.707	0.530	0.024	−0.441
CP	0.573	0.735	0.283	0.073	−0.026
SST	0.707	0.389	0.258	−0.017	0.027
WSIA	0.986	−0.024	−0.114	0.042	0.357
HWSIA	0.982	0.079	−0.109	−0.019	0.308
EIA	0.976	0.098	−0.141	−0.067	0.293
SA	0.817	0.436	0.101	−0.053	0.101
WP	0.928	−0.164	−0.180	0.027	0.381