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开 本: 128开纸 张: 胶版纸包 装: 平装-胶订是否套装: 否国际标准书号ISBN: 9787030509574
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目 录
Contents
Preface
1 Introduction 1
1.1 Background of Research 1
1.2 Purpose and Method of Research 3
2 DEA Conceptual Exposition and Literature Review 7
2.1 Data Envelopment Analysis Conceptual Exposition 7
2.2 Economic Meanings of DEA Efficiency 11
2.3 Literature Review of DEA to Container Terminals 13
3 Evaluation Modeling for Container Terminal 19
3.1 Approach of Definition Variables 19
3.2 Implementation of Definition Variables 22
3.3 Definition of Output Variable 23
3.4 Definition of Input Variables 24
3.5 Standardization of Output and Input Variables 27
3.6 Flow Process of DEA Analyses 27
3.7 Research Procedure 30
4 Data Collection and Analysis 31
4.1 0utline of Chinese Container Ports 31
4.1.1 Description of Shanghai(上海) Port 33
4.1.2 Description of Hong Kong(香港) Port 34
4.1.3 Description of Shenzhen(深圳)Port 35
4.1.4 Description of Qingdao(青岛) Port 37
4.1.5 Description of Ningbo(宁波) Port 39
4.1.6 Description of Guangzhou(广州) Port 40
4.1.7 Description of Tianjin(天津) Port 41
4.2 0utline of Korean Container Ports 44
4.2.1 Description of Busan(釜山) Port 44
4.2.2 Description of Gwangyang(光阳) Port 51
4.2.3 Description of Incheon (仁川) Port 54
4.2.4 Description of Ulsan(蔚山) Port 55
4.2.5 Description of Masan(马山) Port 56
4.2.6 Description of Gunsan(群山) Port 57
4.2.7 Description of Pyeongtaek(平泽) Port 57
4.3 Collected Data Analysis 58
5 Efficiency Analysis and Implication 73
5.1 Efficiency Analysis of Container Terminals 73
5.2 Implication of Efficiency Analysis 82
5.2.1 Implication by Throughput 82
5.2.2 Implication by China and Korea 85
5.2.3 Implication by Input-Orientation and Output-Orientation 88
5.2.4 Suggestion by Research Results 88
6 Conclusion 93
Appendix A 97
Appendix B 103
Appendix C 111
References 119
The Index 125
List of Figures
Figure 1.1 Performance measures and organizational development.Source Drawn by Dyson (2000) 4
Figure 2.1 Comparison of efficiencies of container terminals (CCR modeDSource Drawn by Cullinane (2007) 8
Figure 2.2 Comparison of efficiencies of container terminals (BCC model)Source Drawn by Cullinane and Wang 10
Figure 2.3 DEA-super efficiency modelSource Author of the original source 11
Figure 2.4 Production functionSource Drawn by Samuelson and Nordhaus (2001) 12
Figure 3.1 A performance measuring systemSource Modified by Norman and Stoker (1991) 20
Figure 3.2 The scope of variables in container terminal.Source Author of the original source 24
Figure 3.3 Definition of input variablesSource Author of the original source 26
Figure 3.4 Flow process of DEA analysesSource Modified by Lin and Tseng (2007) 28
Figure 3.5 Research procedureSource Author of the original source 29
Figure 4.1 Yard area per berth of Chinese container terminals 59
Figure 4.2 Quay crane per berth of Chinese container terminals 60
Figure 4.3 Terminal crane per berth of Chinese container terminals 60
Figure 4.4 Yard tractor per berth of Chinese container terminals 61
Figure 4.5 Berth length per berth of Chinese container terminals 61
Figure 4.6 Water depth per berth of Chinese container terminals 62
Figure 4.7 Throughput per berth of Chinese container terminals 62
Figure 4.8 Yard area per berth of Korean container terminals 65
Figure 4.9 Quay crane per berth of Korean container terminals 66
Figure 4.10 Terminal crane per berth of Korean container terminals 66
Figure 4.11 Yard tractor per berth of Korean container terminals 67
Figure 4.12 Berth length per berth of Korean container terminals 67
Figure 4.13 Water depth per berth of Korean container terminals 68
Figure 4.14 Throughput per berth of Korean container terminals 68
Figure 4.15 Yard area per berth of 31 major container terminals 69
Figure 4.16 Quay crane per berth of 31 major container terminals 69
Figure 4.17 Terminal crane per berth of 31 major container terminals 70
Figure 4.18 Yard tractor per berth of 31 major container terminals 70
Figure 4.19 Berth length of 31 major container terminals 70
Figure 4.20 Water depth of 31 major container terminals 71
Figure 4.21 Throughput per berth of 31 major container terminals 71
Figure 5.1 CCR efficiency of major container terminals 76
Figure 5.2 BCC efficiency of major terminals on input-orientation 77
Figure 5.3 BCC efficiency of major terminals on output-orientation 77
Figure 5.4 CCR efficiency of major container ports 81
Figure 5.5 BCC efficiency of major container ports on input-orientation 81
Figure 5.6 BCC e衔ciency of major container ports on output-orientation 82
Figure 5.7 Status of return to scale on input-orientation 83
Figure 5.8 Status of return to scale on output-orientation 84
Figure 5.9 Status of emcient and inefficient container terminals 86
Figure 5.10 E伍ciency average value between China and Korea 87
Figure 5.11 Comparison C
Preface
1 Introduction 1
1.1 Background of Research 1
1.2 Purpose and Method of Research 3
2 DEA Conceptual Exposition and Literature Review 7
2.1 Data Envelopment Analysis Conceptual Exposition 7
2.2 Economic Meanings of DEA Efficiency 11
2.3 Literature Review of DEA to Container Terminals 13
3 Evaluation Modeling for Container Terminal 19
3.1 Approach of Definition Variables 19
3.2 Implementation of Definition Variables 22
3.3 Definition of Output Variable 23
3.4 Definition of Input Variables 24
3.5 Standardization of Output and Input Variables 27
3.6 Flow Process of DEA Analyses 27
3.7 Research Procedure 30
4 Data Collection and Analysis 31
4.1 0utline of Chinese Container Ports 31
4.1.1 Description of Shanghai(上海) Port 33
4.1.2 Description of Hong Kong(香港) Port 34
4.1.3 Description of Shenzhen(深圳)Port 35
4.1.4 Description of Qingdao(青岛) Port 37
4.1.5 Description of Ningbo(宁波) Port 39
4.1.6 Description of Guangzhou(广州) Port 40
4.1.7 Description of Tianjin(天津) Port 41
4.2 0utline of Korean Container Ports 44
4.2.1 Description of Busan(釜山) Port 44
4.2.2 Description of Gwangyang(光阳) Port 51
4.2.3 Description of Incheon (仁川) Port 54
4.2.4 Description of Ulsan(蔚山) Port 55
4.2.5 Description of Masan(马山) Port 56
4.2.6 Description of Gunsan(群山) Port 57
4.2.7 Description of Pyeongtaek(平泽) Port 57
4.3 Collected Data Analysis 58
5 Efficiency Analysis and Implication 73
5.1 Efficiency Analysis of Container Terminals 73
5.2 Implication of Efficiency Analysis 82
5.2.1 Implication by Throughput 82
5.2.2 Implication by China and Korea 85
5.2.3 Implication by Input-Orientation and Output-Orientation 88
5.2.4 Suggestion by Research Results 88
6 Conclusion 93
Appendix A 97
Appendix B 103
Appendix C 111
References 119
The Index 125
List of Figures
Figure 1.1 Performance measures and organizational development.Source Drawn by Dyson (2000) 4
Figure 2.1 Comparison of efficiencies of container terminals (CCR modeDSource Drawn by Cullinane (2007) 8
Figure 2.2 Comparison of efficiencies of container terminals (BCC model)Source Drawn by Cullinane and Wang 10
Figure 2.3 DEA-super efficiency modelSource Author of the original source 11
Figure 2.4 Production functionSource Drawn by Samuelson and Nordhaus (2001) 12
Figure 3.1 A performance measuring systemSource Modified by Norman and Stoker (1991) 20
Figure 3.2 The scope of variables in container terminal.Source Author of the original source 24
Figure 3.3 Definition of input variablesSource Author of the original source 26
Figure 3.4 Flow process of DEA analysesSource Modified by Lin and Tseng (2007) 28
Figure 3.5 Research procedureSource Author of the original source 29
Figure 4.1 Yard area per berth of Chinese container terminals 59
Figure 4.2 Quay crane per berth of Chinese container terminals 60
Figure 4.3 Terminal crane per berth of Chinese container terminals 60
Figure 4.4 Yard tractor per berth of Chinese container terminals 61
Figure 4.5 Berth length per berth of Chinese container terminals 61
Figure 4.6 Water depth per berth of Chinese container terminals 62
Figure 4.7 Throughput per berth of Chinese container terminals 62
Figure 4.8 Yard area per berth of Korean container terminals 65
Figure 4.9 Quay crane per berth of Korean container terminals 66
Figure 4.10 Terminal crane per berth of Korean container terminals 66
Figure 4.11 Yard tractor per berth of Korean container terminals 67
Figure 4.12 Berth length per berth of Korean container terminals 67
Figure 4.13 Water depth per berth of Korean container terminals 68
Figure 4.14 Throughput per berth of Korean container terminals 68
Figure 4.15 Yard area per berth of 31 major container terminals 69
Figure 4.16 Quay crane per berth of 31 major container terminals 69
Figure 4.17 Terminal crane per berth of 31 major container terminals 70
Figure 4.18 Yard tractor per berth of 31 major container terminals 70
Figure 4.19 Berth length of 31 major container terminals 70
Figure 4.20 Water depth of 31 major container terminals 71
Figure 4.21 Throughput per berth of 31 major container terminals 71
Figure 5.1 CCR efficiency of major container terminals 76
Figure 5.2 BCC efficiency of major terminals on input-orientation 77
Figure 5.3 BCC efficiency of major terminals on output-orientation 77
Figure 5.4 CCR efficiency of major container ports 81
Figure 5.5 BCC efficiency of major container ports on input-orientation 81
Figure 5.6 BCC e衔ciency of major container ports on output-orientation 82
Figure 5.7 Status of return to scale on input-orientation 83
Figure 5.8 Status of return to scale on output-orientation 84
Figure 5.9 Status of emcient and inefficient container terminals 86
Figure 5.10 E伍ciency average value between China and Korea 87
Figure 5.11 Comparison C
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