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

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

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
  1. 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