The effect of LNG bunkering on port competitiveness using multilevel data analysis

被引:0
|
作者
Yao, Akoh Fabien [1 ]
Sebe, Maxime [1 ]
Virto, Laura Recuero [2 ]
Nassiri, Abdelhak [3 ]
Dumez, Herve [1 ]
机构
[1] Ecole Polytech, Inst Polytech Paris, CNRS, UMR 9217,i3 CRG, 828 Blvd Marechaux, F-91120 Palaiseau, France
[2] Leonard Vinci Pole Univ, Res Ctr, F-92916 Paris, France
[3] Univ Bretagne Occidentale, UMR 6308 Amure, Amure, France
关键词
LNG; Port choice; Baltic Sea; Multilevel regression; Propensity score matching; PROPENSITY SCORE; CHOICE; FUEL; ADOPTION; VEHICLE; COST; TRANSITION; SELECTION; SERVICE; MODELS;
D O I
10.1016/j.trd.2024.104240
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Environmental practices can enable most businesses, including ports, to gain a competitive advantage. Given the chicken-and-egg dilemma for the adoption of alternative fuels in the shipping industry, this article assesses whether and to what extent ports have incentives to provide liquefied natural gas (LNG) bunkering infrastructure. More specifically, we test whether such facilities positively affect the competitiveness of the ports, which would be an additional incentive to drive the transition to alternative fuels. Using multilevel regressions and propensity score matching on LNG-fueled vessel movements in the Baltic Sea Region in 2019, we found no significant effect of LNG bunkering infrastructure on port competitiveness, measured by port choice probabilities expressed by vessels. Although our findings indicate that ports do not gain a competitive advantage in the short-term, we do not rule out potential gains in the long-term. Policy intervention is desirable in the short-term to maintain incentives for port investments.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] A gentle introduction to multilevel data analysis using R
    George, Michaelides
    Maria, Karanika-Murray
    PSYCHOLOGY & HEALTH, 2011, 26 : 351 - 351
  • [32] Hull form design for resistance minimization of small-scale LNG bunkering vessels using numerical simulation
    Pak, Kyung-Ryeong
    Song, Gi-Su
    Kim, Hee-Jung
    Son, Hye-Jong
    Park, Hyoung-Gil
    INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING, 2020, 12 : 856 - 867
  • [33] Exploring the performance and competitiveness of Vietnam port industry using DEA
    Kuo, Kuo-Cheng
    Lu, Wen-Min
    Le, Minh-Hieu
    ASIAN JOURNAL OF SHIPPING AND LOGISTICS, 2020, 36 (03): : 136 - 144
  • [34] A Comprehensive Review of the Establishment of Safety Zones and Quantitative Risk Analysis during Ship-to-Ship LNG Bunkering
    Duong, Phan Anh
    Ryu, Bo Rim
    Jung, Jinwon
    Kang, Hokeun
    ENERGIES, 2024, 17 (02)
  • [35] The Internationalisation of Banks: A Multilevel Analysis of Positive Effects in Regard to Competitiveness
    Kiforenko, Oksana
    PROBLEMY ZARZADZANIA-MANAGEMENT ISSUES, 2016, 14 (03): : 131 - 150
  • [36] Methodology for consequence analysis of LNG releases at deepwater port facilities
    Parihar, Arun
    Vergara, Charles
    Clutter, J. Keith
    SAFETY SCIENCE, 2011, 49 (05) : 686 - 694
  • [37] Concept design and cost benefit analysis of pile-guide mooring system for an offshore LNG bunkering terminal
    Lee, Seong-yeob
    Jo, Choonghee
    Pettersen, Bjonar
    Chung, Hyun
    Kim, San
    Chang, Daejun
    OCEAN ENGINEERING, 2018, 154 : 59 - 69
  • [38] COMPETITIVENESS OF BRAZILIAN TOURISTIC DESTINATIONS: A PROPOSAL USING DATA ENVELOPMENT ANALYSIS
    de Sevilha Gosling, Iury Teixeira
    Resende Barros, Francis Marcean
    Gosling, Marlusa de Sevilha
    TURISMO-ESTUDOS E PRATICAS, 2018, 7 (02): : 8 - 25
  • [39] TEMPERATURE REDUCTION ON LNG BUNKERING SHIP STRUCTURE UNDER ACCIDENTAL CRYOGENIC GAS RELEASE USING CFD SIMULATION
    Nubli, Haris
    Sohn, Jung Min
    Jung, Dongho
    PROCEEDINGS OF ASME 2022 41ST INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2022, VOL 2, 2022,
  • [40] Analysis of Tugboat Activities using AIS Data for the Tianjin Port
    Chen, Shukai
    Wang, Feng
    Wei, Xiaoyang
    Tan, Zhijia
    Wang, Hua
    TRANSPORTATION RESEARCH RECORD, 2020, 2674 (05) : 498 - 509