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The purpose of this paper is to evaluate the sustainable efficiency of container terminals (CTs). By the definition of United Nations Conference on Trade and Development (UNCTAD), business sustainable development includes three domains: Economics, Environment, and Society. Accordingly, based on the definition and the practical features of CT operations, this paper assesses sustainable efficiency for CTs from three perspectives: container throughput, CO2 emissions, and occupational safety. In this paper, a modality movement and a fuzzy grey relational analysis (GRA) approach are first proposed to estimate CO2 emissions and occupational safety index for CT operators, respectively. A hybrid slacks‐based measure (SBM)‐DEA model is then developed to assess the sustainable efficiency of CT operators. Finally, the CT operators in the Port of Kaohsiung are empirically investigated to validate the research model. Based on the results, theoretical and practical implications for the management of CT operators and port authorities are discussed. [ABSTRACT FROM AUTHOR]

Existing studies in favor of comparing operating efficiency for different container ports often do not result in compelling results for port organizational policies, partly because the external environments those compared ports face are divergent. Instead, this study aims at examining the operating efficiency of container terminals (CTs) in a port by deploying a Data Envelopment Analysis (DEA) model. For validating the proposed model, the CT operators in the Kaohsiung port in Taiwan were empirically investigated. The findings may provide practical information for CT operators to improve their operating efficiency and achieve high-quality development. Besides, the research model might contribute an analytical reference for the practical applications of the DEA model in related port management. Especially, this research provides a methodological framework for terminal operators to assess CTs' operating efficiency inside a port. [ABSTRACT FROM AUTHOR]