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http://dx.doi.org/10.15722/jds.19.7.202107.29

An Analysis on the Logistics Efficiency of Shanghai Port for Global Supply Chain  

SHENG, Yi-Peng (Department of International Business, Chungbuk National University)
KIM, Yong-Jeong (Graduate School of Business, Sogang University)
Publication Information
Journal of Distribution Science / v.19, no.7, 2021 , pp. 29-39 More about this Journal
Abstract
Purpose: As China experienced a crisis due to Covid-19, the global supply chain collapsed and affected the world. Therefore, it is time for a change in port operational efficiency, increasing in importance with changes in the global supply chain. This study analyzed Shanghai Port's efficiency, the world's largest port and representative hub port in Northeast Asia, by looking at the relationship between facility factors and cargo throughput to present hub port development's timely implications. Research design, data and methodology: This study applied the Charnes, Cooper, and Rhodes (CCR) and Banker, Chames, and Cooper (BCC) models of the data development analysis (DEA) to construct an analysis from the input-oriented and output-oriented perspectives. Results: As a result, Yidong Container Terminal can be considered the most optimized in facilities and operation processes. Yidong and Shengdong Container Terminal should maintain current operating levels, while Pudong Container Terminal should review facility investments. Also, Zhendong, Huong, Mingdong, and Guandong Container Terminal should be reviewed to increase cargo throughput or to adjust current input variables in the current state. Conclusions: Therefore, the utilization of the container terminal input variables should be reviewed, and the factors of inefficiency should be improved. Moreover, the strategic focus of container terminal operations should be on increasing annual cargo throughput.
Keywords
Container Terminal; DEA; Efficiency; Logistics; Port;
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1 Fitzsimmons, J. A., & Fitzsimmons, M. J. (1994). Service Management for Competitive Advantage. NY: McGrow-Hill College.
2 Kim, J. H. (2017). Studies on port development strategy in Shanghai, China. Journal of Distribution Science, 15(1), 7-14. https://www.koreascience.or.kr   DOI
3 Kim, J. H. (2016). Public private partnerships in Chinese port as infrastructure. Journal of Distribution Science, 14(7), 45-52. https://www.koreascience.or.kr   DOI
4 Wang, C. N., Nguyen, N. A. T., Fu, H. P., Hsu, H. P., & Dang, T. T. (2021). Efficiency assessment of seaport terminal operators using DEA Malmquist and Epsilon-Based Measure models. Axioms, 10(2), 48. https://doi.org/10.3390/axioms10020048   DOI
5 Wu, Y. C. J., & Goh, M. (2010). Container port efficiency in emerging and more advanced markets, Transportation Research Part E, 46(6), 1030-1042. https://doi.org/10.1016/   DOI
6 Farrell, M. J. (1957). The measurement of productive efficiency. Journal of Royal Statistical Society, 120(3), 253-290. https://doi.org/10.2307/2343100   DOI
7 Ablanedo-Rosas, J. H., Gao, H., Zheng, X., Alidaee, B., & Wang, H. (2010). A study of the relative efficiency of Chinese ports: a financial ratio-based data envelopment analysis approach. Expert Systems, 27(5), 349-362. https://doi.org/10.1111/j   DOI
8 BBC NEWS (2021). Egypt's Suez Canal blocked by huge container ship. March 24thEdition. https://www.bbc.com
9 Boussofinance, A., Dyson, R. G., & Thanassoulis, E. (1991). Applied data envelopment analysis. European Journal of Operations Research, 52(1), 1-15. doi.org/10.1016/0377   DOI
10 Kuo, K. C., Lu, W. M., & Le, M. H. (2020). Exploring the performance and competitiveness of Vietnam port industry using DEA. The Asian Journal of Shipping and Logistics, 36(3), 136-144. https://doi.org/10.10   DOI
11 Kim, H. S., & Park, J. R. (2013). An analysis of the operational efficiency of the major airports worldwide using DEA and M almquist productivity indices. Journal of Distribution Science, 11(8), 5-14. https://www.koreascience.or.kr   DOI
12 Charnes, A., Clark, C. T., Cooper, W. W., & Golany, B. (1984). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. air force. Annals of Operations Research, 2(1), 95-112. https://doi.org/10.1007/BF01874734   DOI
13 Chen, S. H., Dowall, D. E., & Song, D. W. (2010). Evaluating impacts of institutional reforms on port efficiency changes: Ownership, corporate structure, and total factor productivity changes of world container ports. Transportation Research Part E, 46(4), 546-561. https://doi.org/10.1016   DOI
14 Chudasama, K. M. (2010). Shipbuilding Infrastructure: An efficiency analysis of Indian shipyards. IUP Journal of Infrastructure, 8(3), 7-22.
15 Charnes, A., Cooper, W. W., & Rhodes, E. L. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/   DOI
16 Cullinane, K., & Wang, T. (2010). The efficiency analysis of container port production using DEA panel data approaches. OR Spectrum, 32(3), 717-738. https://doi.org/10.1007/   DOI
17 Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1031-1142. https://doi.org/10.1287/mnsc.30.9.1078   DOI
18 Zarbi, S., Shin, S. H., & Shin, Y. J. (2019). An analysis by Window DEA on the influence of international sanction to the efficiency of Iranian container ports. The Asian Journal of Shipping and Logistics. 35(4), 163-171. https://doi.org/10   DOI
19 Ahmed, A. S., & Mohamed, A. E. (2019). Assessing the Middle East top container ports relative technical efficiency. Pomorski zbornik, 56(1), 59-72. https://hrcak.srce.hr/224135