IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v8y2024i1p2-d1311902.html
   My bibliography  Save this article

Contextual Comparative Analysis of Dar es Salaam and Mombasa Port Performance by Using a Hybrid DEA(CVA) Model

Author

Listed:
  • Majid Mohammed Kunambi

    (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

  • Hongxing Zheng

    (College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

Abstract

Background: This research conducts a contextual comparative analysis between Dar es Salaam and Mombasa ports, employing a hybrid data envelopment analysis (DEA) model that integrates the contextual value-added approach (CVA). The assessment incorporates various inputs (quay length, number of cranes, and storage area) and outputs (number of ship calls and cargo throughput) to compute efficiency scores, offering nuanced insights into the strengths, weaknesses, and areas for improvement of both ports. Methods : The hybrid DEA model with CVA is applied to calculate efficiency scores, considering the diverse inputs and outputs. This approach allows for a comprehensive evaluation of the relative performance of Dar es Salaam and Mombasa ports. The study also explores the influence of trade-related externalities on port efficiency, providing a holistic understanding of the factors shaping the ports’ operational effectiveness. Results: The efficiency scores depict distinctive performance trends between Dar es Salaam and Mombasa ports. Notably, Dar es Salaam exhibits maximum efficiency (efficiency value of 1) in 2018 and 2021, while Mombasa attains optimal performance (efficiency value of 1) in 2021. However, efficiency values fluctuate for both ports in other years, ranging between 0.895 and 0.985 for Mombasa and 0.924 and 0.960 for Dar es Salaam. Conclusions : This study highlights the dynamic efficiency levels of Dar es Salaam and Mombasa ports over multiple years and identifies critical factors influencing their performance. The findings contribute valuable insights to the field of port analysis, offering guidance to port management and policymakers in optimizing the efficiency and competitiveness of these vital maritime hubs.

Suggested Citation

  • Majid Mohammed Kunambi & Hongxing Zheng, 2024. "Contextual Comparative Analysis of Dar es Salaam and Mombasa Port Performance by Using a Hybrid DEA(CVA) Model," Logistics, MDPI, vol. 8(1), pages 1-20, January.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:1:p:2-:d:1311902
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/8/1/2/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/8/1/2/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pei Fun Lee & Weng Siew Lam & Weng Hoe Lam, 2023. "Performance Evaluation of the Efficiency of Logistics Companies with Data Envelopment Analysis Model," Mathematics, MDPI, vol. 11(3), pages 1-15, January.
    2. Mahmood Sabouhi & Mostafa Mardani, 2017. "Linear robust data envelopment analysis: CCR model with uncertain data," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 22(2), pages 262-280.
    3. Aneta Masternak-Janus & Magdalena Rybaczewska-Błażejowska, 2017. "Comprehensive Regional Eco-Efficiency Analysis Based on Data Envelopment Analysis: The Case of Polish Regions," Journal of Industrial Ecology, Yale University, vol. 21(1), pages 180-190, February.
    4. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    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. Matthew A. Kraft & John P. Papay & Olivia L. Chi, 2020. "Teacher Skill Development: Evidence from Performance Ratings by Principals," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 315-347, March.
    2. Paul Anand & Jere R. Behrman & Hai-Anh H. Dang & Sam Jones, 2018. "Inequality of opportunity in education: Accounting for the contributions of Sibs, schools and sorting across East Africa," Working Papers 480, ECINEQ, Society for the Study of Economic Inequality.
    3. Kasper Brandt, 2018. "Private beats public: A flexible value-added model with Tanzanian school switchers," WIDER Working Paper Series 81, World Institute for Development Economic Research (UNU-WIDER).
    4. Ingo E. Isphording & Ulf Zölitz, 2020. "The value of a peer," ECON - Working Papers 342, Department of Economics - University of Zurich.
    5. von Hippel, Paul T. & Bellows, Laura & Osborne, Cynthia & Lincove, Jane Arnold & Mills, Nick, 2016. "Teacher quality differences between teacher preparation programs: How big? How reliable? Which programs are different?," Economics of Education Review, Elsevier, vol. 53(C), pages 31-45.
    6. William B. Walstad & Jamie Wagner, 2016. "The disaggregation of value-added test scores to assess learning outcomes in economics courses," The Journal of Economic Education, Taylor & Francis Journals, vol. 47(2), pages 121-131, April.
    7. Morales, Camila, 2022. "Do refugee students affect the academic achievement of peers? Evidence from a large urban school district," Economics of Education Review, Elsevier, vol. 89(C).
    8. Martins, Pedro S., 2022. "The wage effects of employers' associations: A case study of the private schools sector," GLO Discussion Paper Series 1163, Global Labor Organization (GLO).
    9. Canales, Andrea & Maldonado, Luis, 2018. "Teacher quality and student achievement in Chile: Linking teachers' contribution and observable characteristics," International Journal of Educational Development, Elsevier, vol. 60(C), pages 33-50.
    10. Cory Koedel & Jiaxi Li & Matthew G. Springer & Li Tan, 2018. "Teacher Performance Ratings and Professional Improvement," Working Papers 1808, Department of Economics, University of Missouri.
    11. Goldhaber, Dan & Krieg, John & Theobald, Roddy, 2020. "Effective like me? Does having a more productive mentor improve the productivity of mentees?," Labour Economics, Elsevier, vol. 63(C).
    12. Milan Andrejić, 2023. "Modeling Retail Supply Chain Efficiency: Exploration and Comparative Analysis of Different Approaches," Mathematics, MDPI, vol. 11(7), pages 1-24, March.
    13. Kamali Shahdadi, Behrang, 2021. "The effects of student composition on teachers' effort and students' performance: Implications for tracking, school choice, and affirmative action," Games and Economic Behavior, Elsevier, vol. 130(C), pages 384-399.
    14. Dhushyanth Raju, 2017. "Public School Teacher Management in Sri Lanka," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 18(1), pages 39-63, March.
    15. Cassar, Lea & Fischer, Mira & Valero, Vanessa, 2022. "Keep calm and carry on: The short- vs. long-run effects of mindfulness meditation on (academic) performance," Discussion Papers, Research Unit: Market Behavior SP II 2022-203, WZB Berlin Social Science Center.
    16. Horrace, William C. & Rothbart, Michah W. & Yang, Yi, 2022. "Technical efficiency of public middle schools in New York City," Economics of Education Review, Elsevier, vol. 86(C).
    17. M. Caridad Araujo & Pedro Carneiro & Yyannú Cruz-Aguayo & Norbert Schady, 2016. "Teacher Quality and Learning Outcomes in Kindergarten," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1415-1453.
    18. Filmer,Deon P. & Nahata,Vatsal & Sabarwal,Shwetlena, 2021. "Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness," Policy Research Working Paper Series 9847, The World Bank.
    19. Esteban M. Aucejo & Patrick Coate & Jane Cooley Fruehwirth & Sean Kelly & Zachary Mozenter, 2018. "Teacher effectiveness and classroom composition," CEP Discussion Papers dp1574, Centre for Economic Performance, LSE.
    20. Paul Anand & Jere R. Behrman & Hai-Anh H. Dang & Sam Jones, 2019. "Does sorting matter for learning inequality?Evidence from East Africa," PIER Working Paper Archive 20-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    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:gam:jlogis:v:8:y:2024:i:1:p:2-:d:1311902. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.