Applying EBM Model and Grey Forecasting to Assess Efficiency of Third-Party Logistics Providers

Table 13

Pearson’s correlation coefficient (2016–2022).

	Year	AS	CA	CL	CP	RE	GP
AS	2016	1	0.9849	0.9834	0.9916	0.9841	0.9947
CA		0.9849	1	0.9962	0.9671	0.9913	0.9736
CL		0.9834	0.9962	1	0.9608	0.9948	0.9709
CP		0.9916	0.9671	0.9608	1	0.9651	0.9821
RE		0.9841	0.9913	0.9948	0.9651	1	0.9758
GP		0.9947	0.9736	0.9709	0.9821	0.9758	1
AS	2017	1	0.9813	0.9766	0.9955	0.9829	0.9931
CA		0.9813	1	0.9956	0.9633	0.9923	0.9652
CL		0.9766	0.9956	1	0.9538	0.9909	0.9565
CP		0.9955	0.9633	0.9538	1	0.9676	0.9915
RE		0.9829	0.9923	0.9909	0.9676	1	0.9702
GP		0.9931	0.9652	0.9565	0.9915	0.9702	1
AS	2018	1	0.9856	0.9806	0.9954	0.9843	0.993
CA		0.9856	1	0.9957	0.9685	0.9935	0.9732
CL		0.9806	0.9957	1	0.9585	0.9927	0.9643
CP		0.9954	0.9685	0.9585	1	0.9689	0.9911
RE		0.9843	0.9935	0.9927	0.9689	1	0.9727
GP		0.993	0.9732	0.9643	0.9911	0.9727	1
AS	2019	1	0.9868	0.981	0.9952	0.9848	0.991
CA		0.9868	1	0.9949	0.9699	0.9943	0.9736
CL		0.981	0.9949	1	0.9583	0.9924	0.9635
CP		0.9952	0.9699	0.9583	1	0.9692	0.9904
RE		0.9848	0.9943	0.9924	0.9692	1	0.971
GP		0.991	0.9736	0.9635	0.9904	0.971	1
AS	2020	1	0.9877	0.9814	0.9949	0.9851	0.9873
CA		0.9877	1	0.9938	0.9712	0.9949	0.9715
CL		0.9814	0.9938	1	0.9582	0.9918	0.9605
CP		0.9949	0.9712	0.9582	1	0.9688	0.988
RE		0.9851	0.9949	0.9918	0.9688	1	0.9664
GP		0.9873	0.9715	0.9605	0.988	0.9664	1
AS	2021	1	0.9884	0.9818	0.9945	0.9849	0.9795
CA		0.9884	1	0.9922	0.9723	0.9951	0.965
CL		0.9818	0.9922	1	0.9581	0.9905	0.9534
CP		0.9945	0.9723	0.9581	1	0.9677	0.9823
RE		0.9849	0.9951	0.9905	0.9677	1	0.9566
GP		0.9795	0.965	0.9534	0.9823	0.9566	1
AS	2022	1	0.9888	0.982	0.9939	0.9841	0.963
CA		0.9888	1	0.9901	0.973	0.9949	0.9491
CL		0.982	0.9901	1	0.9579	0.9884	0.9371
CP		0.9939	0.973	0.9579	1	0.9652	0.9693
RE		0.9841	0.9949	0.9884	0.9652	1	0.9362
GP		0.963	0.9491	0.9371	0.9693	0.9362	1