IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v154y2021ics0301421521001579.html
   My bibliography  Save this article

Driving factors of changes in international maritime energy consumption: Microdata evidence 2014–2017

Author

Listed:
  • Goh, Tian
  • Zhong, Sheng
  • Ang, B.W.
  • Su, Bin
  • Ng, Szu Hui
  • Chai, Kah-Hin

Abstract

Emissions have been a critical concern for the shipping sector, calling for climate mitigation measures to be implemented in this field urgently. It is therefore useful to understand the factors that influence the relevant empirical trends so that policies can be better tailored to address the climate challenges. Given the high reliance on fossil fuels, this paper has focused on the energy consumption from international shipping, by examining 6 factors across product types and shipping routes. This is based on comprehensive microdata of almost all vessels in the world over 2014–2017. The study finds that improvements in energy intensity is consistent across product types and shipping routes, reinforcing the importance of energy efficiency as a key climate mitigation measure. However, shifts in freight transport activity across different regions have offset gains in energy efficiency and was the most dominant factor contributing to an increase in energy consumption. Monitoring of the transport structure effect is critical for progress tracking and the potential of this effect to alter energy consumption should also be factored into emission projections.

Suggested Citation

  • Goh, Tian & Zhong, Sheng & Ang, B.W. & Su, Bin & Ng, Szu Hui & Chai, Kah-Hin, 2021. "Driving factors of changes in international maritime energy consumption: Microdata evidence 2014–2017," Energy Policy, Elsevier, vol. 154(C).
  • Handle: RePEc:eee:enepol:v:154:y:2021:i:c:s0301421521001579
    DOI: 10.1016/j.enpol.2021.112288
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421521001579
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2021.112288?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Jianing Zheng & Hao Hu & Lei Dai, 2013. "How would EEDI influence Chinese shipbuilding industry?," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(5), pages 495-510, September.
    3. Cristea, Anca & Hummels, David & Puzzello, Laura & Avetisyan, Misak, 2013. "Trade and the greenhouse gas emissions from international freight transport," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 153-173.
    4. Wang, Wenwen & Li, Man & Zhang, Ming, 2017. "Study on the changes of the decoupling indicator between energy-related CO2 emission and GDP in China," Energy, Elsevier, vol. 128(C), pages 11-18.
    5. Kamakaté, Fatumata & Schipper, Lee, 2009. "Trends in truck freight energy use and carbon emissions in selected OECD countries from 1973 to 2005," Energy Policy, Elsevier, vol. 37(10), pages 3743-3751, October.
    6. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    7. Yan Song & Ming Zhang, 2017. "Using a new decoupling indicator (ZM decoupling indicator) to study the relationship between the economic growth and energy consumption in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 1013-1022, September.
    8. Luo, Xiao & Dong, Liang & Dou, Yi & Li, Yan & Liu, Kai & Ren, Jingzheng & Liang, Hanwei & Mai, Xianmin, 2017. "Factor decomposition analysis and causal mechanism investigation on urban transport CO2 emissions: Comparative study on Shanghai and Tokyo," Energy Policy, Elsevier, vol. 107(C), pages 658-668.
    9. Lindstad, Haakon & Asbjørnslett, Bjørn E. & Strømman, Anders H., 2011. "Reductions in greenhouse gas emissions and cost by shipping at lower speeds," Energy Policy, Elsevier, vol. 39(6), pages 3456-3464, June.
    10. Vincent F. Valentine & Hassiba Benamara & Jan Hoffmann, 2013. "Maritime transport and international seaborne trade," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(3), pages 226-242, May.
    11. Qiang Meng & Shuaian Wang & Henrik Andersson & Kristian Thun, 2014. "Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions," Transportation Science, INFORMS, vol. 48(2), pages 265-280, May.
    12. Hualong Yang & Xuefei Ma, 2019. "Uncovering CO 2 Emissions Patterns from China-Oriented International Maritime Transport: Decomposition and Decoupling Analysis," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    13. Xu, Mengqiao & Li, Zhenfu & Shi, Yanlei & Zhang, Xiaoling & Jiang, Shufei, 2015. "Evolution of regional inequality in the global shipping network," Journal of Transport Geography, Elsevier, vol. 44(C), pages 1-12.
    14. Ang, B.W. & Wang, H., 2015. "Index decomposition analysis with multidimensional and multilevel energy data," Energy Economics, Elsevier, vol. 51(C), pages 67-76.
    15. Sorrell, Steve & Lehtonen, Markku & Stapleton, Lee & Pujol, Javier & Toby Champion,, 2012. "Decoupling of road freight energy use from economic growth in the United Kingdom," Energy Policy, Elsevier, vol. 41(C), pages 84-97.
    16. Andrés, Lidia & Padilla, Emilio, 2015. "Energy intensity in road freight transport of heavy goods vehicles in Spain," Energy Policy, Elsevier, vol. 85(C), pages 309-321.
    17. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    18. Song, Yan & Zhang, Ming & Shan, Cheng, 2019. "Research on the decoupling trend and mitigation potential of CO2 emissions from China's transport sector," Energy, Elsevier, vol. 183(C), pages 837-843.
    19. Liu, Nan & Ma, Zujun & Kang, Jidong & Su, Bin, 2019. "A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015," Energy Policy, Elsevier, vol. 129(C), pages 410-421.
    20. Zhong, Sheng, 2021. "Assessing the drivers of changes in aggregate fuel economy in Massachusetts: The role of vehicle reallocation," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    21. Chang, Ching-Chih, 2012. "Marine energy consumption, national economic activity, and greenhouse gas emissions from international shipping," Energy Policy, Elsevier, vol. 41(C), pages 843-848.
    22. Craglia, Matteo & Cullen, Jonathan, 2019. "Do technical improvements lead to real efficiency gains? Disaggregating changes in transport energy intensity," Energy Policy, Elsevier, vol. 134(C).
    23. Young Yoon & Minyoung Yang & Jinsoo Kim, 2018. "An Analysis of CO 2 Emissions from International Transport and the Driving Forces of Emissions Change," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    24. Wang, Wenwen & Liu, Xiao & Zhang, Ming & Song, Xuefeng, 2014. "Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China's energy consumption," Energy, Elsevier, vol. 67(C), pages 617-622.
    25. Eom, Jiyong & Schipper, Lee & Thompson, Lou, 2012. "We keep on truckin': Trends in freight energy use and carbon emissions in 11 IEA countries," Energy Policy, Elsevier, vol. 45(C), pages 327-341.
    26. Sorrell, Steve & Lehtonen, Markku & Stapleton, Lee & Pujol, Javier & Champion, Toby, 2009. "Decomposing road freight energy use in the United Kingdom," Energy Policy, Elsevier, vol. 37(8), pages 3115-3129, August.
    27. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    28. Guo, Bin & Geng, Yong & Franke, Bernd & Hao, Han & Liu, Yaxuan & Chiu, Anthony, 2014. "Uncovering China’s transport CO2 emission patterns at the regional level," Energy Policy, Elsevier, vol. 74(C), pages 134-146.
    29. Mike Fusillo, 2004. "Is Liner Shipping Supply Fixed?," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 6(3), pages 220-235, September.
    30. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    31. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    32. Song, Yan & Sun, Junjie & Zhang, Ming & Su, Bin, 2020. "Using the Tapio-Z decoupling model to evaluate the decoupling status of China's CO2 emissions at provincial level and its dynamic trend," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 120-129.
    33. Sheng, Yu & Shi, Xunpeng & Su, Bin, 2018. "Re-analyzing the economic impact of a global bunker emissions charge," Energy Economics, Elsevier, vol. 74(C), pages 107-119.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sou, Weng Sut & Goh, Tian & Lee, Xin Ni & Ng, Szu Hui & Chai, Kah-Hin, 2022. "Reducing the carbon intensity of international shipping – The impact of energy efficiency measures," Energy Policy, Elsevier, vol. 170(C).
    2. Wang, Yaxian & Zhao, Zhenli & Wang, Wenju & Streimikiene, Dalia & Balezentis, Tomas, 2023. "Interplay of multiple factors behind decarbonisation of thermal electricity generation: A novel decomposition model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

    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. Sou, Weng Sut & Goh, Tian & Lee, Xin Ni & Ng, Szu Hui & Chai, Kah-Hin, 2022. "Reducing the carbon intensity of international shipping – The impact of energy efficiency measures," Energy Policy, Elsevier, vol. 170(C).
    2. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    3. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    4. M'raihi, Rafaa & Mraihi, Talel & Harizi, Riadh & Taoufik Bouzidi, Mohamed, 2015. "Carbon emissions growth and road freight: Analysis of the influencing factors in Tunisia," Transport Policy, Elsevier, vol. 42(C), pages 121-129.
    5. Lin, Boqiang & Raza, Muhammad Yousaf, 2021. "Analysis of electricity consumption in Pakistan using index decomposition and decoupling approach," Energy, Elsevier, vol. 214(C).
    6. Yang, Xue & Xu, He & Su, Bin, 2022. "Factor decomposition for global and national aggregate energy intensity change during 2000–2014," Energy, Elsevier, vol. 254(PB).
    7. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    8. Song, Yan & Zhang, Ming & Shan, Cheng, 2019. "Research on the decoupling trend and mitigation potential of CO2 emissions from China's transport sector," Energy, Elsevier, vol. 183(C), pages 837-843.
    9. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Meng, Bo, 2021. "Attribution of changes in an intensity index," Energy, Elsevier, vol. 216(C).
    10. Andrés, Lidia & Padilla, Emilio, 2015. "Energy intensity in road freight transport of heavy goods vehicles in Spain," Energy Policy, Elsevier, vol. 85(C), pages 309-321.
    11. Lima, Fátima & Nunes, Manuel Lopes & Cunha, Jorge & Lucena, André F.P., 2016. "A cross-country assessment of energy-related CO2 emissions: An extended Kaya Index Decomposition Approach," Energy, Elsevier, vol. 115(P2), pages 1361-1374.
    12. Wang, Bo & Sun, Yefei & Chen, Qingxiang & Wang, Zhaohua, 2018. "Determinants analysis of carbon dioxide emissions in passenger and freight transportation sectors in China," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 127-132.
    13. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    14. Shiraki, Hiroto & Matsumoto, Ken'ichi & Shigetomi, Yosuke & Ehara, Tomoki & Ochi, Yuki & Ogawa, Yuki, 2020. "Factors affecting CO2 emissions from private automobiles in Japan: The impact of vehicle occupancy," Applied Energy, Elsevier, vol. 259(C).
    15. Lizhan Cao & Hui Wang, 2022. "The Slowdown in China’s Energy Consumption Growth in the “New Normal” Stage: From Both National and Regional Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    16. Sun, Xiaoqi & Liu, Xiaojia, 2020. "Decomposition analysis of debt’s impact on China’s energy consumption," Energy Policy, Elsevier, vol. 146(C).
    17. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    18. Raza, Muhammad Yousaf & Lin, Boqiang, 2023. "Future outlook and influencing factors analysis of natural gas consumption in Bangladesh: An economic and policy perspectives," Energy Policy, Elsevier, vol. 173(C).
    19. Wang, Juan & Hu, Mingming & Rodrigues, João F.D., 2018. "The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis," Applied Energy, Elsevier, vol. 228(C), pages 2195-2206.
    20. Junghwan Lee & Jinsoo Kim, 2021. "A Decomposition Analysis of the Korean Manufacturing Sector: Monetary vs. Physical Outputs," Sustainability, MDPI, vol. 13(11), pages 1-13, May.

    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:eee:enepol:v:154:y:2021:i:c:s0301421521001579. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.