IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i5p702-d353343.html
   My bibliography  Save this article

The Construction and Implication of Group Scale Efficiency Evaluation Model for Bulk Shipping Corporations

Author

Listed:
  • Bor-Hong Lin

    (Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung City 20224, Taiwan)

  • Hsuan-Shih Lee

    (Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung City 20224, Taiwan)

  • Cheng-Chi Chung

    (Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung City 20224, Taiwan)

Abstract

The shipping industry pursues high efficiency and low cost of chartering operations for bulk shipping market depression. Each type of ship’s operational efficiency in bulk shipping corporations is more important than the corporation’s overall efficiency. In order to evaluate the efficiency gap between various ship types’ efficiency and overall efficiency, the research first assessed the performance by a decision making unit (DMU), and evaluated voyage charter (V/C) performance by the time charter equivalent (TCE). It also measured the distance between group scale efficiency (GSE) and average group scale efficiency (AGSE) by the data envelopment analysis (DEA). DEA is able to compare the difference between the group efficiency and overall efficiency, the AGSE value, to explore the direction and extent of the overall efficiency improvement. In the research, the V/C service of Panamax, Supramax, and Handymax is considered as the DMU, to calculate the efficiency of different ship types separately. Then, it employs TCE to measure and the DEA method to compare AGSE. The larger the AGSE value, the better the efficiency. Based on the results, in order to improve the overall operating efficiency of bulk shipping corporations, AGSE should be more emphasized than TCE and GSE. The results can provide professional managers of bulk shipping corporations with the basis for a strategic decision of chartering operations.

Suggested Citation

  • Bor-Hong Lin & Hsuan-Shih Lee & Cheng-Chi Chung, 2020. "The Construction and Implication of Group Scale Efficiency Evaluation Model for Bulk Shipping Corporations," Mathematics, MDPI, vol. 8(5), pages 1-13, May.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:5:p:702-:d:353343
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/5/702/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/8/5/702/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wu, Lingxiao & Pan, Kai & Wang, Shuaian & Yang, Dong, 2018. "Bulk ship scheduling in industrial shipping with stochastic backhaul canvassing demand," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 117-136.
    2. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    3. Lin, Dung-Ying & Liu, Hui-Yen, 2011. "Combined ship allocation, routing and freight assignment in tramp shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(4), pages 414-431, July.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    6. Iris, Çağatay & Pacino, Dario & Ropke, Stefan, 2017. "Improved formulations and an Adaptive Large Neighborhood Search heuristic for the integrated berth allocation and quay crane assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 123-147.
    7. Shaher Z Zahran & Jobair Bin Alam & Abdulrahem H Al-Zahrani & Yiannis Smirlis & Stratos Papadimitriou & Vangelis Tsioumas, 2017. "Analysis of port authority efficiency using data envelopment analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(3), pages 518-537, August.
    8. Gong, Xiaoxing & Wu, Xiaofan & Luo, Meifeng, 2019. "Company performance and environmental efficiency: A case study for shipping enterprises," Transport Policy, Elsevier, vol. 82(C), pages 96-106.
    9. Unsal, Ozgur & Oguz, Ceyda, 2019. "An exact algorithm for integrated planning of operations in dry bulk terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 103-121.
    10. Su-Han Woo & Po-Lin Lai & Ying-Hsiu Chen & Ching-Chiao Yang, 2019. "Meta-frontier function approach to operational efficiency for shipping companies," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(5), pages 529-544, July.
    11. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    12. Panayides, Photis M. & Lambertides, Neophytos & Savva, Christos S., 2011. "The relative efficiency of shipping companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 681-694, September.
    13. Saeedi, Hamid & Behdani, Behzad & Wiegmans, Bart & Zuidwijk, Rob, 2019. "Assessing the technical efficiency of intermodal freight transport chains using a modified network DEA approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 66-86.
    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. Mohammad Nourani & Qian Long Kweh & Wen-Min Lu & Ikhlaas Gurrib, 2022. "Operational and investment efficiency of investment trust companies: Do foreign firms outperform domestic firms?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
    2. Yu, Ming-Miin & Lin, Chung-I & Chen, Kuan-Chen & Chen, Li-Hsueh, 2021. "Measuring Taiwanese bank performance: A two-system dynamic network data envelopment analysis approach," Omega, Elsevier, vol. 98(C).
    3. H. Pierre Hsieh & Kuo‐Cheng Kuo & Minh‐Hieu Le & Wen‐Min Lu, 2021. "Exploring the cargo and eco‐efficiencies of international container shipping companies: A network‐based ranking approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 45-60, January.
    4. Khezrimotlagh, Dariush & Kaffash, Sepideh & Zhu, Joe, 2022. "U.S. airline mergers’ performance and productivity change," Journal of Air Transport Management, Elsevier, vol. 102(C).
    5. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    6. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    7. Yaliu Yang & Yuan Wang & Cui Wang & Yingyan Zhang & Cuixia Zhang, 2022. "Temporal and Spatial Evolution of the Science and Technology Innovative Efficiency of Regional Industrial Enterprises: A Data-Driven Perspective," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    8. Liang-Han Ma & Jin-Chi Hsieh & Ying Li & Yung-Ho Chiu, 2021. "Evaluating Efficiency Change in Taiwan’s Financial Industry," SAGE Open, , vol. 11(2), pages 21582440211, April.
    9. Chenjun Zhang & Rui Hua & Zhen Shi & Yung‐ho Chiu & Shijiong Qin & Xinrui Sun, 2021. "Study on water resources consumption and environmental pollution of China's provinces under different economic development levels," Natural Resources Forum, Blackwell Publishing, vol. 45(3), pages 305-325, August.
    10. Svetlana V. Ratner & Artem M. Shaposhnikov & Andrey V. Lychev, 2023. "Network DEA and Its Applications (2017–2022): A Systematic Literature Review," Mathematics, MDPI, vol. 11(9), pages 1-24, May.
    11. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    12. Santos, Sérgio P. & São José, José M.S., 2018. "Measuring and decomposing the gender pay gap: A new frontier approachAuthor-Name: Amado, Carla A.F," European Journal of Operational Research, Elsevier, vol. 271(1), pages 357-373.
    13. Joohwan Kim & Hwayoung Kim, 2021. "Evaluation of the Efficiency of Maritime Transport Using a Network Slacks-Based Measure (SBM) Approach: A Case Study on the Korean Coastal Ferry Market," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    14. Kai He & Nan Zhu & Wu Jiang & Chuanjin Zhu, 2022. "Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
    15. Ganji, S.S. & Tirkolaee, Erfan Babaee & Jahed, Rasul, 2024. "Evaluating the performance of intercity road freight transport: Double-frontier parallel network cross-efficiency model," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    16. Claudio Quintano & Paolo Mazzocchi & Antonella Rocca, 2020. "A competitive analysis of EU ports by fixing spatial and economic dimensions," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-19, December.
    17. Chen, Jiabin & Wen, Shaobo & Liu, Yuchen, 2022. "Research on the efficiency of the mining industry in China from the perspective of time and space," Resources Policy, Elsevier, vol. 75(C).
    18. Losa, Eduardo Tola & Arjomandi, Amir & Hervé Dakpo, K. & Bloomfield, Jason, 2020. "Efficiency comparison of airline groups in Annex 1 and non-Annex 1 countries: A dynamic network DEA approach," Transport Policy, Elsevier, vol. 99(C), pages 163-174.
    19. Qingxian An & Fanyong Meng & Beibei Xiong & Zongrun Wang & Xiaohong Chen, 2020. "Assessing the relative efficiency of Chinese high-tech industries: a dynamic network data envelopment analysis approach," Annals of Operations Research, Springer, vol. 290(1), pages 707-729, July.
    20. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.

    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:jmathe:v:8:y:2020:i:5:p:702-:d:353343. 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.