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An assessment model of bio-efficiency for container terminals in the presence of air emissions

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  • Long Van Hoang
  • Lan Thi Tuyet Ngo
  • Ha Thi Pham

Abstract

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.

Suggested Citation

  • Long Van Hoang & Lan Thi Tuyet Ngo & Ha Thi Pham, 2025. "An assessment model of bio-efficiency for container terminals in the presence of air emissions," PLOS ONE, Public Library of Science, vol. 20(3), pages 1-16, March.
    • Handle: RePEc:plo:pone00:0319423
    DOI: 10.1371/journal.pone.0319423
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    References listed on IDEAS

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    1. Kavirathna, Chathumi Ayanthi & Kawasaki, Tomoya & Hanaoka, Shinya, 2019. "Intra-port coopetition under different combinations of terminal ownership," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 132-148.
    2. Pérez, Ivone & González, María Manuela & Trujillo, Lourdes, 2020. "Do specialisation and port size affect port efficiency? Evidence from cargo handling service in Spanish ports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 234-249.
    3. Lee, Taehwee & Yeo, Gi-Tae & Thai, Vinh V., 2014. "Environmental efficiency analysis of port cities: Slacks-based measure data envelopment analysis approach," Transport Policy, Elsevier, vol. 33(C), pages 82-88.
    4. Wen‐Kai K. Hsu & Show‐Hui S. Huang & Nguyen Tan Huynh & Kuan‐Han Huang, 2024. "An evaluation model of sustainable efficiency for container terminals," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(1), pages 1170-1187, February.
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