Hoang Long Van, Ngo Lan Thi Tuyet, Pham Ha Thi
Faculty of Management, Ho Chi Minh City University of Law, Ho Chi Minh, Vietnam.
Applied Economics Research Group, Dong Nai Technology University, Bien Hoa, Vietnam.
PLoS One. 2025 Mar 19;20(3):e0319423. doi: 10.1371/journal.pone.0319423. eCollection 2025.
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.
集装箱码头作业产生的大气污染物会对港口区域的环境产生不利影响,增加健康风险,包括当地居民患呼吸道和心血管疾病的风险。本文旨在利用基于松弛变量的测度(SBM)模型评估存在空气排放情况下集装箱码头(CT)的生物效率。为此,本文首先采用聚类分析来选择与数据包络分析(DEA)理论假设相符的同类CT,然后使用一种新方法来估算CT在港区作业产生的空气排放。接下来,利用SBM模型估算存在空气排放情况下CT的生物效率。最后,以巴地头顿港务局(PA)的CT作为实证研究来验证所提出的研究模型。所提出的研究框架可为海洋区域减少大气污染物的相关文献提供方法参考。