Research on the Relationship Between Suzhou Port Logistics Efficiency and Local Economic Development Based on the DEA Model
DOI:
https://doi.org/10.54097/03s0ch94Keywords:
DEA model, Port of Suzhou, Efficiency evaluation, Economic developmentAbstract
In order to further study the relationship between the logistics efficiency of Suzhou port and the local economy, this study chooses Suzhou Port as the main research object. This paper collates the relevant data from 2013 to 2022, determines the corresponding input and output performance indicators, and uses the data envelopment analysis (DEA) model to evaluate the logistics efficiency of Suzhou Port. For those data that did not meet the DEA validity criteria, we performed further optimization and performed projection analysis. The analysis shows that during 2013-2022, the comprehensive efficiency of port logistics in Suzhou Port is constantly improving, but the efficiency value also fluctuates. Part of the reason lies in the mismatch between economic input and output, and the extra economic burden caused by the setting of excessive berth number and berth length of the wharf makes the logistics efficiency low. Based on the above factors and the relationship between Suzhou port and regional economy, some suggestions are given to enhance the logistics efficiency of Suzhou port.
Downloads
References
[1] Bendall, H. B., & Stent, A. F. (1979). On measuring cargo handling productivity. Maritime Policy & Management, 6(4), 253–263.
[2] Tonzon, J. L. (2001). The impact of port characteristics on seaport performance. Port Management, 165–178.
[3] Kuang, H. (2008). Research on the operational performance evaluation of port enterprises based on DEA (Doctoral dissertation). Dalian Maritime University.
[4] Han, B., et al. (2012). Operational performance evaluation of port listed companies based on DEA. Water Transport Management, 34(5), 18–21.
[5] Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.
[6] Li, L., Liu, J., & Li, C. (2011). [Untitled article]. Soft Science, 25(5), 74–80.
[7] Zhang, T., et al. (2013). Analysis of regional port investment and output in China based on panel DEA. China Navigation, 36(2), 112–116.
[8] Barros, C. P. (2012). Productivity assessment of African seaports. African Development Review, 24(1), 67–78.
[9] Liu, T., et al. (2015). Dynamic efficiency evaluation of key ports in the Bohai Rim region based on DEA-Malmquist. Logistics Technology, 34(6), 152–155.
[10] Schøyen, H., & Odeck, J. (2013). The technical efficiency of Norwegian container ports: A comparison to some Nordic and UK container ports using Data Envelopment Analysis (DEA). Maritime Economics & Logistics, 15(2), 197–221.
[11] Zhang, M., & Wang, H. (2016). Construction and empirical research of port logistics efficiency evaluation index system. Logistics Engineering and Management, 38(9), 45–48.
[12] Wanke, P., et al. (2017). Fuzzy GMSS and DEA-Malmquist for Chinese ports efficiency evaluation. Maritime Policy & Management, 44(6), 741–758.
[13] Si, X., et al. (2018). Efficiency evaluation and cluster analysis of major Chinese ports based on DEA. Maritime Management, 40(3), 12–16.
[14] Xiao, X., & Song, B. (2020). Efficiency evaluation of China's coastal ports and construction of the "port comprehensive development level" standard. Journal of Shanghai Maritime University, 41(2), 56–62.
[15] Gamassa, P. K. P., & Chen, Y. (2017). Comparison of port efficiency between Eastern and Western African ports using DEA Window Analysis. In 2017 International Conference on Service Systems and Service Management (pp. 1–6).
[16] Fan, Y., & Wang, J. (2020). Evaluation of maritime transport efficiency of the 21st century Maritime Silk Road transportation corridor — Based on the SBM model and DEA Window Analysis method. China Circulation Economy, 34(4), 32–42.
[17] Liu, C. (2010). Measuring the operational efficiency of Pacific ports: A three-stage DEA approach. International Journal of Shipping and Transport Logistics, 2(4), 372–389.
[18] Du, L., & Zhang, J. (2018). Research on the efficiency of major container ports on the Yangtze River mainline based on three-stage DEA. Logistics Technology, 37(10), 78–83.
[19] Wang, X., Liu, M., Lin, G., et al. (2021). Research on the efficiency of inland river container ports based on three-stage DEA. Mathematics in Practice and Theory, 51(16), 18–31.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 International Journal of World Economic Research
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
