使用混合 DEA(CVA)模型对达累斯萨拉姆港和蒙巴萨港的绩效进行背景比较分析

Logistics Pub Date : 2024-01-02 DOI:10.3390/logistics8010002
Majid Mohammed Kunambi, Hongxing Zheng
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摘要

背景:本研究对达累斯萨拉姆港和蒙巴萨港进行了背景比较分析,采用了一种混合数据包络分析 (DEA) 模型,该模型结合了背景增值法 (CVA)。评估结合了各种输入(码头长度、起重机数量和仓储面积)和输出(船舶停靠次数和货物吞吐量)来计算效率得分,从而对两个港口的优势、劣势和需要改进的地方提供了细致入微的见解。方法:考虑到不同的投入和产出,采用混合 DEA 模型和 CVA 计算效率得分。这种方法可以全面评估达累斯萨拉姆港和蒙巴萨港的相对绩效。研究还探讨了与贸易相关的外部因素对港口效率的影响,从而全面了解影响港口运营效率的因素。研究结果达累斯萨拉姆港和蒙巴萨港的效率得分呈现出不同的绩效趋势。值得注意的是,达累斯萨拉姆在 2018 年和 2021 年表现出最高效率(效率值为 1),而蒙巴萨在 2021 年达到最佳绩效(效率值为 1)。然而,这两个港口的效率值在其他年份有所波动,蒙巴萨港的效率值介于 0.895 和 0.985 之间,达累斯萨拉姆港的效率值介于 0.924 和 0.960 之间。结论本研究强调了达累斯萨拉姆港和蒙巴萨港多年来的动态效率水平,并确定了影响其绩效的关键因素。研究结果为港口分析领域提供了宝贵的见解,为港口管理和决策者优化这些重要海运枢纽的效率和竞争力提供了指导。
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Contextual Comparative Analysis of Dar es Salaam and Mombasa Port Performance by Using a Hybrid DEA(CVA) Model
Background: This research conducts a contextual comparative analysis between Dar es Salaam and Mombasa ports, employing a hybrid data envelopment analysis (DEA) model that integrates the contextual value-added approach (CVA). The assessment incorporates various inputs (quay length, number of cranes, and storage area) and outputs (number of ship calls and cargo throughput) to compute efficiency scores, offering nuanced insights into the strengths, weaknesses, and areas for improvement of both ports. Methods: The hybrid DEA model with CVA is applied to calculate efficiency scores, considering the diverse inputs and outputs. This approach allows for a comprehensive evaluation of the relative performance of Dar es Salaam and Mombasa ports. The study also explores the influence of trade-related externalities on port efficiency, providing a holistic understanding of the factors shaping the ports’ operational effectiveness. Results: The efficiency scores depict distinctive performance trends between Dar es Salaam and Mombasa ports. Notably, Dar es Salaam exhibits maximum efficiency (efficiency value of 1) in 2018 and 2021, while Mombasa attains optimal performance (efficiency value of 1) in 2021. However, efficiency values fluctuate for both ports in other years, ranging between 0.895 and 0.985 for Mombasa and 0.924 and 0.960 for Dar es Salaam. Conclusions: This study highlights the dynamic efficiency levels of Dar es Salaam and Mombasa ports over multiple years and identifies critical factors influencing their performance. The findings contribute valuable insights to the field of port analysis, offering guidance to port management and policymakers in optimizing the efficiency and competitiveness of these vital maritime hubs.
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