基于SBM-DEA和不良DEA的珠三角前三城市主要集装箱码头效率评价

IF 3.3 Q2 TRANSPORTATION Asian Journal of Shipping and Logistics Pub Date : 2022-06-01 DOI:10.1016/j.ajsl.2022.03.001
Siwei Liu, Sung-Hoon Park, Young-Seo Choi, Gi-Tae Yeo
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引用次数: 11

摘要

作为珠三角地区最大的三个中心枢纽城市,香港、广州和深圳在区域增长中发挥了至关重要的作用。然而,这些港口面临着许多挑战,例如港口处理能力,环境问题以及由于大量货物而导致的复杂运输系统的扩展。因此,本研究采用基于懒散的测度-数据包络分析(smm - dea)和dea -不期望模型对这三个城市2018 - 2019年主要集装箱码头的效率进行了评估。从近两年码头的决策单元值来看,盐田码头和南9号集装箱码头效率最高,其次是6号和7号集装箱码头。此外,广州主要集装箱码头的效率不如深圳和香港的码头令人满意。研究结果为珠三角地区未来港口投资和区域发展政策提供了可靠的参考。
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Efficiency evaluation of major container terminals in the top three cities of the Pearl River Delta using SBM-DEA and undesirable DEA

As the three largest central hub cities in the Pearl River Delta (PRD) region, Hong Kong, Guangzhou, and Shenzhen have played critical roles in regional growth. Nevertheless, these ports face many challenges, such as port handling capacity, environmental problems, and the expansion of the complex transportation system owing to the large volume of goods. Therefore, this study used the slacks-based measure–data envelopment analysis (SBM-DEA) and DEA-undesirable models to evaluate the efficiency of the major container terminals in these three cities between 2018 and 2019. Based on the decision-making unit values of the terminals for the past two years, Yantian and Container Terminal 9 (South) were the most efficient, followed by container terminals 6 and 7. Moreover, the efficiency of the major container terminals in Guangzhou was less satisfactory than that of terminals in Shenzhen and Hong Kong. The results provide a reliable reference for future port investment, and regional development policy in the PRD region.

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来源期刊
CiteScore
7.80
自引率
6.50%
发文量
23
审稿时长
92 days
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