IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021i2-part1p1070-1080.html
   My bibliography  Save this article

The Cost of Hosting a Ferry Port: Assessing Baltic Ferry Ports’ Negative Impact on Urban Areas and their Strategies to Mitigate it

Author

Listed:
  • Ilona
  • Urbanyi-Popiolek
  • Magdalena
  • Klopott

Abstract

Purpose: The purpose of the article is to assess the negative impact of the leading Baltic ferry ports on the urban areas where ferry services are provided, as well as the strategies adopted to mitigate this impact. Design/Methodology/Approach: Several research methods were applied: literature review, data exploration method, desk research and comparative analysis. As this is a pilot study, the comparison is limited to: (a) the ferry ports with the largest turnover of wheeled cargo units; (b) selected criteria i.e., location, access infrastructure, investments in modern eco-friendly solutions. Findings: (1) almost all leading ferry ports within the BSR have developed solutions aimed at reducing the negative impact of their cargo operations on the port city and environment; (2) some ferry ports have actively responded to the IMO's call to cooperate with shipowners subsumed in Resolution MEPC.323(74). Practical Implications: This study allows to highlight the best practices to minimize the negative impact of ferry ports on urban areas, as well as indicate examples of effective cooperation with ferry operators in the BSR, which can be a model for other ferry ports. Originality/Value: So far, no research has been conducted on the activities undertaken by the ferry terminals to eliminate the externalities of their activities, which causes a research gap in this area.

Suggested Citation

  • Ilona & Urbanyi-Popiolek & Magdalena & Klopott, 2021. "The Cost of Hosting a Ferry Port: Assessing Baltic Ferry Ports’ Negative Impact on Urban Areas and their Strategies to Mitigate it," European Research Studies Journal, European Research Studies Journal, vol. 0(2 - Part ), pages 1070-1080.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:2-part1:p:1070-1080
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2493/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deng, Ping & Lu, Shiqing & Xiao, Hanbin, 2013. "Evaluation of the relevance measure between ports and regional economy using structural equation modeling," Transport Policy, Elsevier, vol. 27(C), pages 123-133.
    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. Bottasso, Anna & Conti, Maurizio & Ferrari, Claudio & Tei, Alessio, 2014. "Ports and regional development: A spatial analysis on a panel of European regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 44-55.
    2. Ziyan Zheng & Fangdao Qiu & Xinlin Zhang, 2020. "Heterogeneity of correlation between the locational condition and industrial transformation of regenerative resource‐based cities in China," Growth and Change, Wiley Blackwell, vol. 51(2), pages 771-791, June.
    3. W. Matekenya & R. Ncwadi, 2022. "The impact of maritime transport financing on total trade in South Africa," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-17, December.
    4. Yang, Yang & Liu, Qing & Chang, Chia-Hsun, 2023. "China-Europe freight transportation under the first wave of COVID-19 pandemic and government restriction measures," Research in Transportation Economics, Elsevier, vol. 97(C).
    5. Courage Mlambo, 2021. "The Impact of Port Performance on Trade: The Case of Selected African States," Economies, MDPI, vol. 9(4), pages 1-18, September.
    6. Wang, Yixuan & Wang, Nuo, 2019. "The role of the port industry in China's national economy: An input–output analysis," Transport Policy, Elsevier, vol. 78(C), pages 1-7.
    7. Na Li & Tianxing Ma & Xiaochun Deng, 2024. "Analysis of the coupling degree between regional logistics efficiency and economic development coordination," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-21, January.
    8. Seo, Young-Joon & Park, Jin Suk, 2016. "The estimation of minimum efficient scale of the port industry," Transport Policy, Elsevier, vol. 49(C), pages 168-175.
    9. repec:ers:journl:v:xxiv:y:2021:i:2:p:1070-1080 is not listed on IDEAS
    10. Göçer, Aysu & Özpeynirci, Özgür & Semiz, Meltem, 2022. "Logistics performance index-driven policy development: An application to Turkey," Transport Policy, Elsevier, vol. 124(C), pages 20-32.
    11. Park, Jin Suk & Seo, Young-Joon, 2016. "The impact of seaports on the regional economies in South Korea: Panel evidence from the augmented Solow model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 107-119.
    12. Naila Nureen & Da Liu & Muhammad Irfan & Maida Malik & Usama Awan, 2023. "Nexuses among Green Supply Chain Management, Green Human Capital, Managerial Environmental Knowledge, and Firm Performance: Evidence from a Developing Country," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    13. Dineswary Nadarajan & Saber Abdelall Mohamed Ahmed & Noor Fadiya Mohd Noor, 2023. "Seaport Network Efficiency Measurement Using Triangular and Trapezoidal Fuzzy Data Envelopment Analyses with Liner Shipping Connectivity Index Output," Mathematics, MDPI, vol. 11(6), pages 1-27, March.
    14. Lili Song & Jianing Mi, 2016. "Port infrastructure and regional economic growth in China: a Granger causality analysis," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(4), pages 456-468, May.
    15. Jiang, Xiushan & He, Xiang & Zhang, Lei & Qin, Huanhuan & Shao, Fengru, 2017. "Multimodal transportation infrastructure investment and regional economic development: A structural equation modeling empirical analysis in China from 1986 to 2011," Transport Policy, Elsevier, vol. 54(C), pages 43-52.
    16. Xiao, Zengqi & Lam, Jasmine Siu Lee, 2020. "The impact of institutional conditions on willingness to take contractual risk in port public-private partnerships of developing countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 12-26.
    17. Koliousis, Ioannis G. & Papadimitriou, Stratos & Riza, Elena & Stavroulakis, Peter J. & Tsioumas, Vangelis, 2019. "Strategic correlations for maritime clusters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 43-57.
    18. Sheykhfard, Abbas & Azmoodeh, Mohammad & Das, Subasish & Kutela, Boniphace, 2025. "Analyzing purchase intentions of used electric vehicles through consumer experiences: A structural equation modeling approach," Transport Policy, Elsevier, vol. 160(C), pages 125-137.
    19. Ziaul Haque Munim & Hans-Joachim Schramm, 2018. "The impacts of port infrastructure and logistics performance on economic growth: the mediating role of seaborne trade," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-19, December.
    20. Zhao, Deng & Zhen-fu, Li & Yu-tao, Zhou & Xiao, Chen & Shan-shan, Liang, 2020. "Measurement and spatial spillover effects of port comprehensive strength: Empirical evidence from China," Transport Policy, Elsevier, vol. 99(C), pages 288-298.
    21. Song, Lili & van Geenhuizen, Marina, 2014. "Port infrastructure investment and regional economic growth in China: Panel evidence in port regions and provinces," Transport Policy, Elsevier, vol. 36(C), pages 173-183.

    More about this item

    Keywords

    Baltic Sea Region; ferry shipping; GHG emissions; ferry ports.;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • L99 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Other
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    Statistics

    Access and download statistics

    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:ers:journl:v:xxiv:y:2021:i:2-part1:p:1070-1080. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.