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

Table 5

Principal components score coefficient matrix.

	Components
	1	2	3	4	5	6	7	8	9	10	11	12	13
AP	−0.111	0.705	−0.676	0.099	0.106	0.036	0.067	−0.039	−0.032	0.033	−0.047	0.029	0.024
AT	0.106	0.073	0.185	0.969	−0.084	−0.011	0.005	−0.033	0.042	0.017	0.000	0.001	−0.007
RF	0.012	−0.854	0.328	0.092	0.324	0.090	0.078	0.162	0.036	−0.018	−0.085	0.022	0.006
DI	0.196	−0.912	0.253	0.001	0.219	0.048	0.047	0.011	−0.009	0.077	0.079	−0.036	0.005
PR	−0.965	−0.180	−0.074	−0.049	−0.106	0.088	−0.027	0.000	0.085	0.001	−0.013	−0.022	0.026
AA	0.680	−0.480	−0.233	−0.097	−0.406	0.061	0.245	0.102	0.041	0.055	−0.016	−0.001	−0.005
PA	−0.981	−0.068	0.015	−0.063	−0.024	−0.146	−0.033	0.029	0.035	0.024	0.040	0.047	0.013
LW	−0.368	0.762	−0.483	0.022	0.177	0.041	0.090	0.070	0.040	0.026	0.013	−0.022	−0.022
PW	−0.557	0.715	−0.373	0.015	0.155	0.059	0.064	0.070	0.044	0.009	0.018	−0.024	−0.014
PWC	0.338	0.581	0.650	−0.205	0.088	−0.131	0.109	−0.165	0.130	0.036	−0.044	−0.009	−0.006
PIF	0.973	0.205	−0.032	−0.031	0.078	−0.030	−0.017	0.010	0.002	0.020	0.009	0.007	0.025
PGDP	0.981	0.168	−0.035	−0.015	0.080	−0.024	−0.005	−0.004	−0.011	0.014	0.002	0.011	0.023
RPA	−0.444	0.643	0.595	−0.077	−0.061	−0.047	0.025	0.074	−0.112	0.051	−0.033	0.013	−0.033
GCA	−0.425	0.707	0.530	0.024	−0.015	0.006	0.127	0.100	0.039	−0.056	0.079	0.030	0.013
CP	0.573	0.735	0.283	0.073	−0.064	−0.153	0.024	0.098	−0.060	0.003	−0.016	−0.046	0.043
SST	0.707	0.389	0.258	−0.017	0.013	0.519	0.067	−0.073	−0.041	−0.024	0.017	0.006	0.002
WSIA	0.986	−0.024	−0.114	0.042	0.054	−0.080	0.004	−0.014	−0.027	0.033	0.011	0.020	−0.015
HWSIA	0.982	0.079	−0.109	−0.019	0.065	−0.057	−0.038	0.024	0.030	0.062	0.038	0.031	−0.003
EIA	0.976	0.098	−0.141	−0.067	−0.062	−0.003	0.015	0.015	0.072	−0.059	0.005	0.015	−0.005
SA	0.817	0.436	0.101	−0.053	−0.061	0.108	−0.303	0.130	0.077	0.011	−0.013	−0.010	−0.013
WP	0.928	−0.164	−0.180	0.027	0.086	−0.224	0.102	0.010	−0.021	−0.095	0.011	−0.017	−0.019