Economic evaluation of the environmental impact of shipping from the perspective of CO2 emissions

Journal of Shipping and Trade

Table 2 T-test Table, Segmentation by Region and Scenario, International and Global Shipping – BAU Vs. METS

2007–2030	International Shipping BAU Vs. METS					Global Shipping BAU Vs. METS
Scenarios GR-RR-P	R-Squared (METS)	t Stat	P(T < =t) one-tail	t Critical two-tail	P(T < =t) two-tail	R-Squared (METS)	t Stat	P(T < =t) one-tail	t Critical two-tail	P(T < =t) two-tail
High-High-High	0.3708	1.7167	0.0649	2.3646	0.1297	0.4124	−2.2226	0.0340	2.4469	0.0680
High-Best-Best	0.0000	−1.8412	0.0625	2.5706	0.1250	0.0134	−1.8938	0.0535	2.4469	0.1071
High-Low-High	0.8409	−0.9469	0.1876	2.3646	0.3752	0.8118	−0.9755	0.1809	2.3646	0.3618
High-Low-Low	0.8409	−0.9469	0.1876	2.3646	0.3752	0.8118	−0.9755	0.1809	2.3646	0.3618
Best-High-High	0.4982	−2.3220	0.0296	2.4469	0.0593	0.5169	−2.3800	0.0274	2.4469	0.0548
Best-Best-Best	0.1012	−1.1476	0.1389	2.2281	0.2779	0.1478	−2.0490	0.0432	2.4469	0.0864
Best-Low-High	0.7683	−1.0341	0.1678	2.3646	0.3355	0.7127	−1.0656	0.1610	2.3646	0.3220
Best-Low-Low	0.7683	−0.9658	0.1785	2.2281	0.3569	0.7127	−1.0656	0.1610	2.3646	0.3220
Low-High-High	0.6572	−0.6001	0.2809	2.2281	0.5618	0.6765	−2.7620	0.0110	2.2622	0.0220
Low-Best-Best	0.4701	−0.8955	0.1958	2.2281	0.3916	0.5219	−2.4779	0.0212	2.3646	0.0423
Low-Low-High	0.3557	−1.3016	0.1171	2.3646	0.2343	0.2131	−1.3787	0.1052	2.3646	0.2104
Low-Low-Low	0.3557	−1.3016	0.1171	2.3646	0.2343	0.2131	−1.3787	0.1052	2.3646	0.2104

Bold scenarios indicate there is a high correlation in result analysis, which allows us to conduct a proper estimation on the impact of implementing METS model in these various scenarios