Sensitivity analysis for the BR-VT case.

Atmospheric pollutants from container terminal operations have adverse effects on the environment in port regions, leading to increased health risks, including respiratory and cardiovascular diseases among local residents. This paper aims to assess bio-efficiency for container terminals (CTs) in the presence of air emissions utilizing a slacks-based measure (SBM) model. In doing so, the paper first adopts cluster analysis to elect homogeneous CTs that aligns with the assumption of DEA theory, then uses a new method to estimate air emissions generated by CTs’ operations at harbor zones. Next, the SBM model is used to estimate the bio-efficiency of CTs in the presence of air emissions. Finally, CTs in the Ba Ria-Vung Tau port authorities (PAs) are employed as an empirical study to verify the proposed research model. The proposed research framework can contribute a methodological reference towards the relevant literature on abating atmospheric pollutants in maritime regions.

集装箱码头（Container Terminal，CT）作业产生的大气污染物会对港区环境造成不利影响，进而提升当地居民的健康风险，包括引发呼吸系统与心血管系统疾病。本文旨在借助基于松弛的测度（Slacks-Based Measure，SBM）模型，评估存在大气排放约束时集装箱码头的生物效率（bio-efficiency）。为此，本文首先采用聚类分析（Cluster Analysis）筛选出符合数据包络分析（Data Envelopment Analysis，DEA）理论假设的同质集装箱码头，随后提出一种新方法估算港区内集装箱码头作业产生的大气排放量。在此基础上，本文运用SBM模型估算存在大气排放约束时集装箱码头的生物效率。最后，本文以巴地头顿（Ba Ria-Vung Tau）港务局（Port Authorities，PA）管辖下的集装箱码头为实证研究对象，对所提出的研究模型进行验证。本文所提出的研究框架可为海事领域减排大气污染物的相关研究提供方法论参考。