港口内集装箱码头生态效益评估模型

IF 2.2 3区 工程技术 Q2 ECONOMICS Economics of Transportation Pub Date : 2024-06-08 DOI:10.1016/j.ecotra.2024.100359
Wen-Kai K. Hsu , Nguyen Tan Huynh , Thanh Le Quoc , Hui-Lung Yu
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引用次数: 0

摘要

集装箱码头(CT)作业排放的二氧化碳(CO2)等温室气体对港口的生态环境造成了不利影响。然而,减少港口地区空气污染的解决方案却存在争议。为了对相关文献有所贡献,本文旨在评估港口内集装箱码头(CT)的生态效益,其中考虑了不需要的产出。在此过程中,采用了基于松弛的衡量方法(SBM)--DEA 模型来评估集装箱码头的效率,同时采用模式移动方法来估算集装箱码头运营商释放的二氧化碳量。结果发现(1)万汉公司是效率最高的 CT 运营商,2017-2019 年的平均效率为 0.993;(2)不需要的产出(即 CO2)会影响 CT 运营商的效率得分;(3)低效率 DMU 可以通过采用松弛变量来改善其运营绩效。
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An assessment model of eco-efficiency for container terminals within a port

Greenhouse gas emissions, such as carbon dioxide (CO2) from container terminal (CT) operations, generate an adverse impact on the ecological environment in ports. Yet, solutions to abate air pollution in port areas is controversial. To contribute to the relevant literature, this article aims to assess eco-efficiency for container terminals (CTs) inside a port when the unwanted output is taken into consideration. In doing so, the Slacks-Based Measure (SBM)-DEA model was adopted to evaluate the efficiency of CTs while the modality movement approach was deployed to estimate the amount of CO2 released by CT operators. It is found that: (1) Wan-Han is the most efficient CT operator, with an average efficiency of 0.993 during 2017–2019; (2) the unwanted output (i.e., CO2) affects CT operators' efficiency score; (3) inefficient DMUs can improve their operating performance by adopting slack variables.

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来源期刊
CiteScore
5.50
自引率
7.10%
发文量
19
审稿时长
69 days
期刊最新文献
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