IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i21p7837-d950553.html
   My bibliography  Save this article

Antarctic Shipborne Tourism: Carbon Emission and Mitigation Path

Author

Listed:
  • Guomin Li

    (School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China)

  • Wei Li

    (School of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China)

  • Yinke Dou

    (Polar Clean Energy Laboratory, College Electric and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China)

  • Yigang Wei

    (School of Economics and Management, Beihang University, Beijing 100190, China
    Key Laboratory of Complex System Analysis, Management and Decision (Beihang University), Ministry of Education, Beijing 100191, China)

Abstract

The rapidly increasing concentrations of carbon dioxide lead to a threat of global climate change. As one of the major sources of carbon emissions in the Antarctic region, shipborne tourism in the Antarctic is expanding rapidly. Consequently, the carbon emissions of shipborne tourism in Antarctica are rapidly increasing. However, there is not enough attention being paid to this issue. In this paper, a calculation model was established to calculate the carbon emissions of cruise ships from the 2003/04 season to the 2016/17 season. The evolution of the carbon emissions from Antarctic cruise ships was described. An aggregate energy efficiency index was developed to evaluate the energy efficiency performance of Antarctic vessels. The key drivers were analyzed to find the paths of carbon reduction. The results show that: (1) The emissions per passenger-trip did not show a downward trend. The total carbon emissions increased continuously with the increasing number of tourists. The total carbon emissions in the 2016/17 season was double that in the 2003/04 season. (2) The aggregate energy efficiency index of Antarctic tour vessels has not reached an advanced level yet. It is the main reason for the high value of emissions per passenger-trip. (3) Due to the oversupply of Antarctica tour ships, there is a low rate of occupancy, which accounts for the decline in aggregate energy efficiency from the 2014/15 season to the 2016/17 season. This study suggests that the administrators of Antarctica should strengthen supervision of the tourism market, control the rapid growth in the number of cruise ships, improve the aggregate energy efficiency of cruise ships and form an efficient and green Antarctic tourism management system.

Suggested Citation

  • Guomin Li & Wei Li & Yinke Dou & Yigang Wei, 2022. "Antarctic Shipborne Tourism: Carbon Emission and Mitigation Path," Energies, MDPI, vol. 15(21), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7837-:d:950553
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/21/7837/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/21/7837/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniela Cajiao & Javier Benayas & Pablo Tejedo & Yu-Fai Leung, 2021. "Adaptive Management of Sustainable Tourism in Antarctica: A Rhetoric or Working Progress?," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    2. Joanna Kizielewicz, 2022. "Monitoring Energy Efficiency and Environmental Ship Index by Cruise Seaports in Northern Europe," Energies, MDPI, vol. 15(12), pages 1-16, June.
    3. Joanna Kizielewicz, 2021. "Eco-Trends in Energy Solutions on Cruise Ships," Energies, MDPI, vol. 14(13), pages 1-13, June.
    4. Eunice O. Olaniyi & Gunnar Prause & Vera Gerasimova & Tommi Inkinen, 2022. "Clean Cruise Shipping: Experience from the BSR," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    5. Shixiong Fang & Xinyi Chen & Kanjian Zhang & Haikun Wei & Jian Ge, 2020. "The Antarctic Astronomical Observations Intelligent Support Equipment “Dome A” Site-Testing Observatory: Electric Power Generation and Control Systems," Energies, MDPI, vol. 13(17), pages 1-17, August.
    6. Zygmunt Kruczek & Zygmunt Kruczek & Michał Kruczek & Adam R. Szromek, 2018. "Possibilities of Using the Tourism Area Life Cycle Model to Understand and Provide Sustainable Solution for Tourism Development in the Antarctic Region," Sustainability, MDPI, vol. 10(1), pages 1-16, January.
    7. Anna Dóra Sæþórsdóttir & C. Michael Hall & Margrét Wendt, 2020. "Overtourism in Iceland: Fantasy or Reality?," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    8. Morten Simonsen & Hans Jakob Walnum & Stefan Gössling, 2018. "Model for Estimation of Fuel Consumption of Cruise Ships," Energies, MDPI, vol. 11(5), pages 1-29, April.
    9. Yan, Ran & Wang, Shuaian & Psaraftis, Harilaos N., 2021. "Data analytics for fuel consumption management in maritime transportation: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    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. Xinyu Li & Yi Zuo & Junhao Jiang, 2022. "Application of Regression Analysis Using Broad Learning System for Time-Series Forecast of Ship Fuel Consumption," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    2. Nguyen, Son & Fu, Xiuju & Ogawa, Daichi & Zheng, Qin, 2023. "An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    3. Tomasz Cepowski & Paweł Chorab, 2021. "The Use of Artificial Neural Networks to Determine the Engine Power and Fuel Consumption of Modern Bulk Carriers, Tankers and Container Ships," Energies, MDPI, vol. 14(16), pages 1-26, August.
    4. Xu, Haonan & Liu, Jiaguo & Xu, Xiaofeng & Chen, Jihong & Yue, Xiaohang, 2024. "The impact of AI technology adoption on operational decision-making in competitive heterogeneous ports☆," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    5. Adam R. Szromek & Mateusz Naramski, 2019. "A Business Model in Spa Tourism Enterprises: Case Study from Poland," Sustainability, MDPI, vol. 11(10), pages 1-22, May.
    6. Xiaoping Gu & Carter A. Hunt & Michael L. Lengieza & Lijun Niu & Huiwen Wu & Yue Wang & Xiang Jia, 2020. "Evaluating Residents’ Perceptions of Nature-Based Tourism with a Factor-Cluster Approach," Sustainability, MDPI, vol. 13(1), pages 1-19, December.
    7. Adam R. Szromek & Zygmunt Kruczek & Bartłomiej Walas, 2019. "The Attitude of Tourist Destination Residents towards the Effects of Overtourism—Kraków Case Study," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    8. Daniela Cajiao & Javier Benayas & Pablo Tejedo & Yu-Fai Leung, 2021. "Adaptive Management of Sustainable Tourism in Antarctica: A Rhetoric or Working Progress?," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    9. Luciano Torres Tricárico & Paulo dos Santos Pires & Marinês da Conceição Walkowski, 2019. "Spaces for Collaborative Arrangements as Social Sustainability in Rural Accommodation in Brazil: Pouso dos Paula," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
    10. Zakaria Elkhwesky, 2022. "A systematic and major review of proactive environmental strategies in hospitality and tourism: Looking back for moving forward," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3274-3301, November.
    11. Chua, Celine & Li, Xue & Tan, Kim Hock & Yuen, Kum Fai, 2024. "Building sustainable performance in the maritime industry via digital resources and innovation," Transport Policy, Elsevier, vol. 149(C), pages 282-299.
    12. Jonek-Kowalska, Izabela, 2019. "Consolidation as a risk management method in the lifecycle of a mining company: A novel methodological approach and evidence from the coal industry in Poland," Resources Policy, Elsevier, vol. 60(C), pages 169-177.
    13. Adam R. Szromek, 2019. "An Analytical Model of Tourist Destination Development and Characteristics of the Development Stages: Example of the Island of Bornholm," Sustainability, MDPI, vol. 11(24), pages 1-16, December.
    14. Yan, Ran & Wang, Shuaian & Psaraftis, Harilaos N., 2021. "Data analytics for fuel consumption management in maritime transportation: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    15. Michael E. Stamatakis & Maria G. Ioannides, 2021. "State Transitions Logical Design for Hybrid Energy Generation with Renewable Energy Sources in LNG Ship," Energies, MDPI, vol. 14(22), pages 1-26, November.
    16. Ruan, Zhang & Huang, Lianzhong & Wang, Kai & Ma, Ranqi & Wang, Zhongyi & Zhang, Rui & Zhao, Haoyang & Wang, Cong, 2024. "A novel prediction method of fuel consumption for wing-diesel hybrid vessels based on feature construction," Energy, Elsevier, vol. 286(C).
    17. Børge Heggen Johansen & Dina Margrethe Aspen & Magnus Sparrevik & Vilmar Æsøy, 2021. "Applying System-Oriented Sustainability Scoring for Cruise Traffic Port Operators: A Case Study of Geiranger, Norway," Sustainability, MDPI, vol. 13(11), pages 1-15, May.
    18. Salvador Garcia-Ayllon, 2018. "Urban Transformations as an Indicator of Unsustainability in the P2P Mass Tourism Phenomenon: The Airbnb Case in Spain through Three Case Studies," Sustainability, MDPI, vol. 10(8), pages 1-21, August.
    19. Li, Yiming & Sun, Zhuo & Hong, Soondo, 2024. "An exact algorithm for multiple-equipment integrated scheduling in an automated container terminal using a double-cycling strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    20. Wang, Huiwen & Yi, Wen & Zhen, Lu, 2024. "Optimal policy for scheduling automated guided vehicles in large-scale intelligent transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).

    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:jeners:v:15:y:2022:i:21:p:7837-:d:950553. 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.