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A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry

Author

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  • Chia-Nan Wang

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

  • Phi-Hung Nguyen

    (Department of Business Management, National Taipei University of Technology, Taipei 10608, Taiwan
    Faculty of Business, FPT University, Hanoi 100000, Vietnam)

  • Thi-Ly Nguyen

    (Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan)

  • Thi-Giang Nguyen

    (Faculty of Business, FPT University, Hanoi 100000, Vietnam)

  • Duc-Thinh Nguyen

    (Faculty of Business, FPT University, Hanoi 100000, Vietnam)

  • Thi-Hoai Tran

    (Faculty of Business, FPT University, Hanoi 100000, Vietnam)

  • Hong-Cham Le

    (Faculty of Business, FPT University, Hanoi 100000, Vietnam)

  • Huong-Thuy Phung

    (Faculty of Business, FPT University, Hanoi 100000, Vietnam)

Abstract

Logistics services aid import and export businesses located near ports in terms of ease and efficiency in the globalization era. Furthermore, economic growth and global import–export volumes immediately impact the port industry. This research aims to develop a two-stage Data Envelopment Analysis (DEA) model for measuring the performance efficiency of Vietnam’s top 18 seaports. The DEA resampling technique is used to forecast future performance, and the DEA Malmquist model analyzes efficiency improvement. First, the forecast data for the next three years, from 2021 to 2023, were obtained by resampling Lucas weight prediction with the highest accuracy. The results indicate that 12 out of all ports achieved an average progressive production efficiency over the entire study period of 2018–2023. Further, most ports have advanced slightly in technological efficiency, indicating that the determinants of increased productivity are the technical efficiency change indexes. This work contributes to the body of knowledge by being the first to apply the resampling technique in conjunction with the Malmquist model to forecast performance efficiency in the domain of the seaport sector. Furthermore, the managerial implications serve as a beneficial reference for operation managers, policymakers, and researchers when comparing the operational efficacy of seaports to diverse logistical scenarios.

Suggested Citation

  • Chia-Nan Wang & Phi-Hung Nguyen & Thi-Ly Nguyen & Thi-Giang Nguyen & Duc-Thinh Nguyen & Thi-Hoai Tran & Hong-Cham Le & Huong-Thuy Phung, 2022. "A Two-Stage DEA Approach to Measure Operational Efficiency in Vietnam’s Port Industry," Mathematics, MDPI, vol. 10(9), pages 1-21, April.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1385-:d:798159
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