Table 3 Average technical, allocative...

Table 3

Average technical, allocative and revenue efficiency for the period 2000–2020

	Name	Technical	Revenue	Allocative
	Name	Efficiency	Efficiency	Efficiency
1	Melbourne	0.36	0.25	0.69
2	Sidney	1	0.28	0.28
3	Metro Vancouver	1	0.42	0.42
4	Guangzhou Harbor	1	0.8	0.8
5	Qingdao	1	1	1
6	Shenzhen	1	0.69	0.69
7	Tianjin	1	0.76	0.76
8	Dalian	0.71	0.52	0.74
9	Xiamen	0.4	0.31	0.77
10	Ningbo-Zhoushan	0.81	0.68	0.84
11	Lianyungung	0.69	0.21	0.31
12	Yingkou	1	0.49	0.49
13	Shanghai	1	1	1
14	Busan, South Korea	0.58	0.32	0.55
15	Kwangyang	0.87	0.5	0.58
16	Long Beach, USA	0.41	0.19	0.47
17	Los Angeles, USA	0.35	0.2	0.57
18	Okland- Sn Francisco Bay Area	1	0.37	0.37
19	Tacoma	1	0.6	0.6
20	Seattle	1	0.33	0.33
21	Manila	0.86	0.25	0.29
22	Hong Kong, China	1	0.68	0.68
23	Tanjung Priok, Jakarta	1	0.67	0.67
24	Tanjung Perak, Surabaya	1	0.547	0.547
25	Keihin ports*, Japan	0.56	0.36	0.65
26	Hanshin* ports, Japan	0.46	0.28	0.61
27	Nagoya	0.56	0.27	0.48
28	Port Kelang	0.6	0.26	0.43
29	Tanjung Pelepas	1	0.13	0.13
30	Manzanillo	0.69	0.42	0.6
31	Lázaro Cárdenas	0.36	0.17	0.47
32	Callao	0.93	0.22	0.23
33	Singapore	1	1	1
34	Laem Chabang	0.44	0.19	0.43
35	Bankgok	1	1	1
36	Kaohsiung	0.34	0.28	0.84
37	Keelung	1	0.63	0.63
38	Ho Chi Minh	1	0.587	0.587

	Name	Technical	Revenue	Allocative
	Name	Efficiency	Efficiency	Efficiency
1	Melbourne	0.36	0.25	0.69
2	Sidney	1	0.28	0.28
3	Metro Vancouver	1	0.42	0.42
4	Guangzhou Harbor	1	0.8	0.8
5	Qingdao	1	1	1
6	Shenzhen	1	0.69	0.69
7	Tianjin	1	0.76	0.76
8	Dalian	0.71	0.52	0.74
9	Xiamen	0.4	0.31	0.77
10	Ningbo-Zhoushan	0.81	0.68	0.84
11	Lianyungung	0.69	0.21	0.31
12	Yingkou	1	0.49	0.49
13	Shanghai	1	1	1
14	Busan, South Korea	0.58	0.32	0.55
15	Kwangyang	0.87	0.5	0.58
16	Long Beach, USA	0.41	0.19	0.47
17	Los Angeles, USA	0.35	0.2	0.57
18	Okland- Sn Francisco Bay Area	1	0.37	0.37
19	Tacoma	1	0.6	0.6
20	Seattle	1	0.33	0.33
21	Manila	0.86	0.25	0.29
22	Hong Kong, China	1	0.68	0.68
23	Tanjung Priok, Jakarta	1	0.67	0.67
24	Tanjung Perak, Surabaya	1	0.547	0.547
25	Keihin ports*, Japan	0.56	0.36	0.65
26	Hanshin* ports, Japan	0.46	0.28	0.61
27	Nagoya	0.56	0.27	0.48
28	Port Kelang	0.6	0.26	0.43
29	Tanjung Pelepas	1	0.13	0.13
30	Manzanillo	0.69	0.42	0.6
31	Lázaro Cárdenas	0.36	0.17	0.47
32	Callao	0.93	0.22	0.23
33	Singapore	1	1	1
34	Laem Chabang	0.44	0.19	0.43
35	Bankgok	1	1	1
36	Kaohsiung	0.34	0.28	0.84
37	Keelung	1	0.63	0.63
38	Ho Chi Minh	1	0.587	0.587

Source(s): Author’s own elaboration based on the DEA methodology

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