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

Table 12

Pearson’s correlation coefficient (2013–2015).

	Year	AS	CA	CL	CP	RE	GP
AS	2013	1	0.9813	0.9475	0.996	0.9767	0.9926
CA		0.9813	1	0.98	0.9734	0.9866	0.9584
CL		0.9475	0.98	1	0.9252	0.9792	0.9101
CP		0.996	0.9734	0.9252	1	0.9642	0.9913
RE		0.9767	0.9866	0.9792	0.9642	1	0.9586
GP		0.9926	0.9584	0.9101	0.9913	0.9586	1
AS	2014	1	0.9699	0.9705	0.9918	0.9818	0.9929
CA		0.9699	1	0.9933	0.9593	0.9864	0.9444
CL		0.9705	0.9933	1	0.9511	0.9895	0.9446
CP		0.9918	0.9593	0.9511	1	0.9658	0.9801
RE		0.9818	0.9864	0.9895	0.9658	1	0.9673
GP		0.9929	0.9444	0.9446	0.9801	0.9673	1
AS	2015	1	0.9856	0.9827	0.9954	0.9796	0.9954
CA		0.9856	1	0.9969	0.9712	0.9893	0.9748
CL		0.9827	0.9969	1	0.966	0.9917	0.9694
CP		0.9954	0.9712	0.966	1	0.9655	0.9893
RE		0.9796	0.9893	0.9917	0.9655	1	0.9706
GP		0.9954	0.9748	0.9694	0.9893	0.9706	1