An Integrated Entropy-COPRAS Framework for Ningbo-Zhoushan Port Logistics Development from the Perspective of Dual Circulation
Abstract
:1. Research Background
2. Literature Review
3. Evaluation Index System of Port Logistics Based on “Dual Circulation” Pattern
3.1. Principles of Selecting Index
3.2. Analysis of the Composition of the Index System
4. An Integrated Entropy-COPRAS Framework for the Port Logistics Development
4.1. The Weights of Index System
4.2. Evaluation Process of COPRAS Method
5. Evaluation and Analysis of Ningbo-Zhoushan Port Logistics Development Level
5.1. Evaluation Results of Ningbo-Zhoushan Port Logistics Level
5.2. Analysis of Evaluation Results of Each Subsystem Index
5.3. Analysis of Comprehensive Evaluation Results of Logistics Level
5.4. Comparative Analysis with Major Domestic Ports
6. Conclusions
6.1. Main Contributions
6.2. Main Research Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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First-Level Index | Second-Level Index | Unit | References |
---|---|---|---|
Port infrastructure construction (X1) | Total number of berths (C11) | Individual | Mo et al. [21] Feng et al. [13] |
Berths above 10,000 tons (C12) | Individual | ||
Logistics capability (X2) | Cargo throughput (C21) | Tons | Mo et al. [21] Qing et al. [27] |
Container throughput (C22) | Wanteu | ||
Economy of port city (X3) | State revenue (C31) | One hundred million yuan | Mo et al. [21] Wang et al. [22] Yang et al. [28] |
Added value of primary industry (C32) | One hundred million yuan | ||
Added value of secondary industry (C33) | One hundred million yuan | ||
Per capita GDP (C34) | Yuan Dynasty (1206–1368) | ||
Volume of goods transported (C35) | Ten thousand tons | ||
Railway freight volume (C36) | Ten thousand tons | ||
Production logistics capacity (X4) | Productive berth (C41) | individual | Mo et al. [21] Jiang et al. [23] |
Productive berths with a tonnage of over 10,000 tons (C42) | individual | ||
International logistics capability (X5) | Foreign trade throughput (C51) | Tons | Mo et al. [21] Jiang et al. [23] |
International transit volume (C52) | Wanteu | ||
Green logistics capability (X6) | Coal throughput (C61) | Ten thousand tons | Hu et al. [24] Hua et al. [12] |
Ore throughput (C62) | Ten thousand tons | ||
Container volume of sea-rail combined transport (C63) | Wanteu | ||
Smart logistics capability (X7) | R&D expenditure (C71) | Ten thousand yuan | Hua et al. [12] Meng et al. [26] Yang et al. [28] |
Number of winning projects of the Science and Technology Award of China Port Association (C72) | Item |
w1 | 0.001 | w8 | 0.026 | w15 | 0.024 |
---|---|---|---|---|---|
w2 | 0.010 | w9 | 0.053 | w16 | 0.072 |
w3 | 0.014 | w10 | 0.009 | w17 | 0.480 |
w4 | 0.022 | w11 | 0.001 | w18 | 0.055 |
w5 | 0.028 | w12 | 0.010 | w19 | 0.135 |
w6 | 0.005 | w13 | 0.010 | ||
w7 | 0.029 | w14 | 0.019 |
2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | |
---|---|---|---|---|---|---|---|
X1 | 0.769 | 0.804 | 0.834 | 0.875 | 0.910 | 0.970 | 1 |
X2 | 0.703 | 0.733 | 0.764 | 0.858 | 0.920 | 0.957 | 1 |
X3 | 0.634 | 0.669 | 0.717 | 0.818 | 0.906 | 0.971 | 1 |
X4 | 0.769 | 0.804 | 0.834 | 0.874 | 0.910 | 0.970 | 1 |
X5 | 0.732 | 0.766 | 0.793 | 0.883 | 0.939 | 0.977 | 1 |
X6 | 0.208 | 0.216 | 0.362 | 0.456 | 0.634 | 0.818 | 1 |
X7 | 1 | 0.591 | 0.836 | 0.612 | 0.549 | 0.726 | 0.663 |
Comprehensive Benefit Value | Comprehensive Cost Value | Comprehensive Evaluation Value | Utility Degree | Sort | |
---|---|---|---|---|---|
2014 | 0.084 | 0.014 | 0.097 | 44.01% | 6 |
2015 | 0.075 | 0.019 | 0.084 | 38.13% | 7 |
2016 | 0.098 | 0.009 | 0.118 | 53.39% | 5 |
2017 | 0.114 | 0.013 | 0.128 | 57.80% | 4 |
2018 | 0.143 | 0.014 | 0.156 | 70.64% | 3 |
2019 | 0.181 | 0.014 | 0.194 | 87.71% | 2 |
2020 | 0.209 | 0.014 | 0.221 | 100.00% | 1 |
Port | Comprehensive Benefit Value | Comprehensive Cost Value | Comprehensive Evaluation Value | Utility Degree | Sort |
---|---|---|---|---|---|
Y1 | 0.097 | 0.009 | 0.186 | 63.52% | 4 |
Y2 | 0.278 | 0.049 | 0.294 | 100.00% | 1 |
Y3 | 0.214 | 0.012 | 0.276 | 94.00% | 2 |
Y4 | 0.237 | 0.105 | 0.244 | 83.09% | 3 |
Year | Y1 | Y2 | Y3 | Y4 |
---|---|---|---|---|
2014 | 1.000 | 0.865 | 0.913 | 0.816 |
2015 | 1.000 | 0.774 | 0.798 | 0.607 |
2016 | 1.000 | 0.956 | 0.890 | 0.916 |
2017 | 0.708 | 0.958 | 1.000 | 0.883 |
2018 | 0.606 | 1.000 | 0.920 | 0.839 |
2019 | 0.537 | 1.000 | 0.848 | 0.854 |
2020 | 0.467 | 1.000 | 0.768 | 0.790 |
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Zeng, S.; Fang, Z.; He, Y.; Huang, L. An Integrated Entropy-COPRAS Framework for Ningbo-Zhoushan Port Logistics Development from the Perspective of Dual Circulation. Systems 2022, 10, 131. https://doi.org/10.3390/systems10050131
Zeng S, Fang Z, He Y, Huang L. An Integrated Entropy-COPRAS Framework for Ningbo-Zhoushan Port Logistics Development from the Perspective of Dual Circulation. Systems. 2022; 10(5):131. https://doi.org/10.3390/systems10050131
Chicago/Turabian StyleZeng, Shouzhen, Zitong Fang, Yuhang He, and Lina Huang. 2022. "An Integrated Entropy-COPRAS Framework for Ningbo-Zhoushan Port Logistics Development from the Perspective of Dual Circulation" Systems 10, no. 5: 131. https://doi.org/10.3390/systems10050131