IDEAS home Printed from https://ideas.repec.org/a/eee/juipol/v90y2024ics0957178724001024.html
   My bibliography  Save this article

Evaluating Vietnam's container terminal efficiency considering carbon neutrality

Author

Listed:
  • Hsu, Wen-Kai
  • Huang, Show-Hui S.
  • Ngoc Le, Thu Ngo
  • Huynh, Nguyen Tan

Abstract

This paper aims to assess container terminal (CT) efficiency with the effect of carbon neutrality. Among mechanisms to achieve carbon neutrality in CTs' operations, emission taxes are deemed the most preferred tool to internalize the external costs associated with greenhouse gas emissions by placing a financial burden on polluters. This paper first uses cluster analysis to determine the homogeneous decision-making units (DMUs), i.e., container terminals. A novel approach is proposed to determine the level of emission taxes that DMUs should be levied based on how much CO2 they discharge. Since emission taxes are an undesirable output from the operations of CT operators (CTOs), the Slacks-based Measure Data Envelopment Analysis (SBM-DEA) model is thus employed to incorporate the emission taxes into the research model and to determine the optimal emission taxes for CTOs. Finally, the CTOs in Vietnam (hereafter the VN-CTOs case) are empirically surveyed to verify the proposed model. The proposed research framework can contribute a methodological reference toward the relevant literature in achieving carbon neutrality. Further, the empirical results can provide practical information for the Vietnamese CTOs to improve their CT efficiency.

Suggested Citation

  • Hsu, Wen-Kai & Huang, Show-Hui S. & Ngoc Le, Thu Ngo & Huynh, Nguyen Tan, 2024. "Evaluating Vietnam's container terminal efficiency considering carbon neutrality," Utilities Policy, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:juipol:v:90:y:2024:i:c:s0957178724001024
    DOI: 10.1016/j.jup.2024.101809
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0957178724001024
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jup.2024.101809?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Young-Tae Chang, 2013. "Environmental efficiency of ports: a Data Envelopment Analysis approach," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(5), pages 467-478, September.
    2. Michael Carlos Best & Anne Brockmeyer & Henrik Jacobsen Kleven & Johannes Spinnewijn & Mazhar Waseem, 2015. "Production versus Revenue Efficiency with Limited Tax Capacity: Theory and Evidence from Pakistan," Journal of Political Economy, University of Chicago Press, vol. 123(6), pages 1311-1355.
    3. Tone, Kaoru & Toloo, Mehdi & Izadikhah, Mohammad, 2020. "A modified slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 287(2), pages 560-571.
    4. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    5. Víctor Chang & Beatriz Tovar, 2022. "Correction to: Efficiency drivers for the South Pacific West coast port terminals: a two-stage non-convex metafrontier dea approach," Operational Research, Springer, vol. 22(3), pages 2703-2705, July.
    6. Na, Joon-Ho & Choi, A-Young & Ji, Jianhua & Zhang, Dali, 2017. "Environmental efficiency analysis of Chinese container ports with CO2 emissions: An inseparable input-output SBM model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 13-24.
    7. Sun, Jiasen & Yuan, Yang & Yang, Rui & Ji, Xiang & Wu, Jie, 2017. "Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis," Transport Policy, Elsevier, vol. 60(C), pages 75-86.
    8. Thang Quyet Nguyen & Lan Thi Tuyet Ngo & Nguyen Tan Huynh & Thanh Le Quoc & Long Van Hoang, 2022. "Assessing port service quality: an application of the extension fuzzy AHP and importance-performance analysis," Post-Print hal-04103854, HAL.
    9. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    10. Allen Blackman & Zhengyan Li & Antung A. Liu, 2018. "Efficacy of Command-and-Control and Market-Based Environmental Regulation in Developing Countries," Annual Review of Resource Economics, Annual Reviews, vol. 10(1), pages 381-404, October.
    11. 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.
    12. Chao, Shih-Liang & Yu, Ming-Miin & Hsieh, Wei-Fan, 2018. "Evaluating the efficiency of major container shipping companies: A framework of dynamic network DEA with shared inputs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 44-57.
    13. Víctor Chang & Beatriz Tovar, 2022. "Efficiency drivers for the South Pacific West coast port terminals: a two-stage non-convex metafrontier dea approach," Operational Research, Springer, vol. 22(3), pages 2667-2701, July.
    14. Facchini, F. & Digiesi, S. & Mossa, G., 2020. "Optimal dry port configuration for container terminals: A non-linear model for sustainable decision making," International Journal of Production Economics, Elsevier, vol. 219(C), pages 164-178.
    15. Luo, Meifeng & Chen, Fuying & Zhang, Jiantong, 2022. "Relationships among port competition, cooperation and competitiveness: A literature review," Transport Policy, Elsevier, vol. 118(C), pages 1-9.
    16. Mushtaq Taleb & Ruzelan Khalid & Ali Emrouznejad & Razamin Ramli, 2023. "Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6627-6656, July.
    17. Thang Quyet Nguyen & Lan Thi Tuyet Ngo & Nguyen Tan Huynh & Thanh Le Quoc & Long Van Hoang, 2022. "Assessing port service quality: An application of the extension fuzzy AHP and importance-performance analysis," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-24, February.
    18. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    19. 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.
    20. Kammoun, Rabeb & Abdennadher, Chokri, 2022. "Seaport efficiency and competitiveness in European seaports," Transport Policy, Elsevier, vol. 121(C), pages 113-124.
    21. Cheng, Ya & Sinha, Avik & Ghosh, Vinit & Sengupta, Tuhin & Luo, Huawei, 2021. "Carbon Tax and Energy Innovation at Crossroads of Carbon Neutrality: Designing a Sustainable Decarbonization Policy," MPRA Paper 108185, University Library of Munich, Germany, revised 2021.
    22. Rohan Best & Paul J. Burke & Frank Jotzo, 2020. "Carbon Pricing Efficacy: Cross-Country Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(1), pages 69-94, September.
    23. Tsao, Yu-Chung & Thanh, Vo-Van, 2019. "A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport-dry port network design under an uncertain environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 13-39.
    24. A. Charnes & W. W. Cooper, 1962. "Programming with linear fractional functionals," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(3‐4), pages 181-186, September.
    25. Adolfo Carballo-Penela & Ingrid Mateo-Mantecón & Juan Luis Dom�nech & Pablo Coto-Millán, 2012. "From the motorways of the sea to the green corridors' carbon footprint: the case of a port in Spain," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 55(6), pages 765-782, September.
    26. Nghiem, Nhung, 2014. "Optimal rotation age for carbon sequestration and biodiversity conservation in Vietnam," Forest Policy and Economics, Elsevier, vol. 38(C), pages 56-64.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hsu, Wen-Kai K. & Huynh, Nguyen Tan & Quoc, Thanh Le & Yu, Hui-Lung, 2024. "An assessment model of eco-efficiency for container terminals within a port," Economics of Transportation, Elsevier, vol. 39(C).
    2. Evelin Krmac & Mozhgan Mansouri Kaleibar, 2023. "A comprehensive review of data envelopment analysis (DEA) methodology in port efficiency evaluation," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(4), pages 817-881, December.
    3. Zhang, Jing & Yang, Dong & Luo, Meifeng, 2024. "Port efficiency types and perspectives: A literature review," Transport Policy, Elsevier, vol. 156(C), pages 13-24.
    4. Mushtaq Taleb & Ruzelan Khalid & Ali Emrouznejad & Razamin Ramli, 2023. "Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6627-6656, July.
    5. Min Wang & Meng Ji & Xiaofen Wu & Kexin Deng & Xiaodong Jing, 2023. "Analysis on Evaluation and Spatial-Temporal Evolution of Port Cluster Eco-Efficiency: Case Study from the Yangtze River Delta in China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    6. Chiang Kao & Shiang-Tai Liu, 2022. "Stochastic efficiencies of network production systems with correlated stochastic data: the case of Taiwanese commercial banks," Annals of Operations Research, Springer, vol. 315(2), pages 1151-1174, August.
    7. Kao, Chiang & Liu, Shiang-Tai, 2022. "Group decision making in data envelopment analysis: A robot selection application," European Journal of Operational Research, Elsevier, vol. 297(2), pages 592-599.
    8. Yang Lin & Longzhong Yan & Ying-Ming Wang, 2019. "Performance Evaluation and Investment Analysis for Container Port Sustainable Development in China: An Inverse DEA Approach," Sustainability, MDPI, vol. 11(17), pages 1-13, August.
    9. Ji, Zhiyong & Wu, Xianhua & Chen, Xueli & Zhou, Wenzhuo & Song, Malin, 2023. "Finding green performance targets globally closest to management goals for ports experiencing similar circumstances," Resources Policy, Elsevier, vol. 85(PB).
    10. Chuanxu Wang & Xiaohan Dou & Hercules Haralambides, 2022. "Port centrality and the Composite Connectivity Index: Introducing a new concept in assessing the attractiveness of hub ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(1), pages 67-91, March.
    11. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    12. Taleb, Mushtaq & Khalid, Ruzelan & Ramli, Razamin & Ghasemi, Mohammad Reza & Ignatius, Joshua, 2022. "An integrated bi-objective data envelopment analysis model for measuring returns to scale," European Journal of Operational Research, Elsevier, vol. 296(3), pages 967-979.
    13. Boccali, Filippo & Mariani, Marcello M. & Visani, Franco & Mora-Cruz, Alexandra, 2022. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    14. Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
    15. Kao, Chiang, 2022. "A maximum slacks-based measure of efficiency for closed series production systems," Omega, Elsevier, vol. 106(C).
    16. Kao, Chiang, 2022. "Closest targets in the slacks-based measure of efficiency for production units with multi-period data," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1042-1054.
    17. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "Sigma-Mu efficiency analysis: A methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 278(3), pages 942-960.
    18. Snežana Tadić & Mladen Krstić & Violeta Roso & Nikolina Brnjac, 2020. "Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    19. Haider, Salman & Danish, Mohd Shadab & Sharma, Ruchi, 2019. "Assessing energy efficiency of Indian paper industry and influencing factors: A slack-based firm-level analysis," Energy Economics, Elsevier, vol. 81(C), pages 454-464.
    20. Amir Moradi-Motlagh & Ali Emrouznejad, 2022. "The origins and development of statistical approaches in non-parametric frontier models: a survey of the first two decades of scholarly literature (1998–2020)," Annals of Operations Research, Springer, vol. 318(1), pages 713-741, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:juipol:v:90:y:2024:i:c:s0957178724001024. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.sciencedirect.com/journal/utilities-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.