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Using a Directional Distance Function to Measure the Environmental Efficiency of International Liner Shipping Companies and Assess Regulatory Impact

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  • Yi-Hui Liao

    (Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung 202301, Taiwan)

  • Hsuan-Shih Lee

    (Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung 202301, Taiwan
    Department of Information Management, Ming Chuan University, Taipei 111005, Taiwan)

Abstract

Maritime transport relies on a large amounts of fossil fuels. It provides cargo-carrying services but simultaneously emits enormous amounts of by-products such as CO 2 , which cause climate change. The IMO has adopted mandatory measures to reduce the shipping industry’s greenhouse gas emissions by at least 70% by 2050, relative to 2008. In this paper, we select 11 liner shipping companies as decision-making units (DMUs) that account for more than 80% of the world’s shipping capacity. Utilizing the directional distance function, we estimate their environmental efficiency in 2019, 2020, and 2021. The directional vector serves to expand desired outputs and contract undesirable outputs. The larger the distance, the farther the evaluated unit is from the production frontier, and the less environmentally efficient it is assessed. This study compares the impact of environmental regulations on liner shipping based on two methods of dealing with undesirable outputs. Since the results indicate the low overall environmental efficiency of liner shipping, firms should strengthen their decarbonization efforts to achieve environmental efficiency goals. Moreover, the results also demonstrate that environmental regulations significantly impact liner shipping companies and that they need to reduce by-product outputs to comply with regulations.

Suggested Citation

  • Yi-Hui Liao & Hsuan-Shih Lee, 2023. "Using a Directional Distance Function to Measure the Environmental Efficiency of International Liner Shipping Companies and Assess Regulatory Impact," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3821-:d:1074209
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    References listed on IDEAS

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    1. Zhuge, Dan & Wang, Shuaian & Wang, David Z.W., 2021. "A joint liner ship path, speed and deployment problem under emission reduction measures," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 155-173.
    2. Shi, Yubing, 2016. "Reducing greenhouse gas emissions from international shipping: Is it time to consider market-based measures?," Marine Policy, Elsevier, vol. 64(C), pages 123-134.
    3. Hee-Seok Bang & Hyo-Won Kang & Jeffrey Martin & Su-Han Woo, 2012. "The impact of operational and strategic management on liner shipping efficiency: a two-stage DEA approach," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(7), pages 653-672, December.
    4. Jong-Kyun Woo & Daniel Seong-Hyeok Moon, 2014. "The effects of slow steaming on the environmental performance in liner shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(2), pages 176-191, March.
    5. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    6. J. Augusto Felício & Ricardo Rodrigues & Vitor Caldeirinha, 2021. "Green Shipping Effect on Sustainable Economy and Environmental Performance," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    7. Kumar Mandal, Sabuj & Madheswaran, S., 2010. "Environmental efficiency of the Indian cement industry: An interstate analysis," Energy Policy, Elsevier, vol. 38(2), pages 1108-1118, February.
    8. K Fagerholt & G Laporte & I Norstad, 2010. "Reducing fuel emissions by optimizing speed on shipping routes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 523-529, March.
    9. 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.
    10. 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.
    11. Picazo-Tadeo, Andres J. & Reig-Martinez, Ernest & Hernandez-Sancho, Francesc, 2005. "Directional distance functions and environmental regulation," Resource and Energy Economics, Elsevier, vol. 27(2), pages 131-142, June.
    12. Watanabe, Michio & Tanaka, Katsuya, 2007. "Efficiency analysis of Chinese industry: A directional distance function approach," Energy Policy, Elsevier, vol. 35(12), pages 6323-6331, December.
    13. Oggioni, G. & Riccardi, R. & Toninelli, R., 2011. "Eco-efficiency of the world cement industry: A data envelopment analysis," Energy Policy, Elsevier, vol. 39(5), pages 2842-2854, May.
    14. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    15. Qi, Xiangtong & Song, Dong-Ping, 2012. "Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 863-880.
    16. Styliani Livaniou & Georgios A. Papadopoulos, 2022. "Liquefied Natural Gas (LNG) as a Transitional Choice Replacing Marine Conventional Fuels (Heavy Fuel Oil/Marine Diesel Oil), towards the Era of Decarbonisation," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    17. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    18. 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.
    19. Vinicius Andrade dos Santos & Patrícia Pereira da Silva & Luís Manuel Ventura Serrano, 2022. "The Maritime Sector and Its Problematic Decarbonization: A Systematic Review of the Contribution of Alternative Fuels," Energies, MDPI, vol. 15(10), pages 1-30, May.
    20. Shih-Liang Chao, 2017. "Integrating multi-stage data envelopment analysis and a fuzzy analytical hierarchical process to evaluate the efficiency of major global liner shipping companies," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(4), pages 496-511, May.
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