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Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis

Author

Listed:
  • Bin Meng

    (Dalian Maritime University)

  • Shuiyang Chen

    (Dalian Maritime University)

  • Hercules Haralambides

    (Dalian Maritime University, Erasmus University Rotterdam, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Haibo Kuang

    (Dalian Maritime University)

  • Lidong Fan

    (Dalian Maritime University)

Abstract

Climate change has become mankind's main challenge. Greenhouse gas (GHG) emissions from shipping are not totally irresponsible for this representing, roughly, 3% of the global total; an amount equal to that of Germany's total GHG emissions. The Fourth Greenhouse Gas Study 2020 of the International Maritime Organization (IMO) predicts that the share of GHG emissions from shipping will increase further, as international trade recovers and continues to grow, alongside with the economic development of India, China, and Africa. China and the European Union have proposed to include shipping in their carbon emissions trading systems (ETS). As a result, the study of the relationship between the carbon finance market and the shipping industry, attempted here for the first time, is both important and timely, both for policymakers and shipowners. We use wavelet analysis and the spillover index methods to explore the dynamic dependence and information spillovers between the carbon finance market and shipping. We discover a long-term dependence and information linkages between the two markets, with the carbon finance market being the dominant one. Major events, such as the 2009 global financial crisis; Brexit in 2016; the 2018 China-US trade frictions; and COVID-19 are shown to strengthen the dependence of carbon finance and shipping. We find that the dependence is strongest between the EU carbon finance market and dry bulk shipping, while the link is weaker in the case of tanker shipping. Nonetheless, carbon finance and tanker shipping showed a relatively stronger dependence when OPEC refused to cut production in 2014, and when the China-US trade disputes led to the collapse of oil prices after 2018. We show that information spillovers between carbon finance and shipping are bidirectional and asymmetric, with the carbon finance market being the principal transmitter of information. Our results and their interpretation provide guidance to governments on whether (and how) to include shipping in emissions trading schemes, supporting at the same time the environmental sustainability decisions of shipping companies.

Suggested Citation

  • Bin Meng & Shuiyang Chen & Hercules Haralambides & Haibo Kuang & Lidong Fan, 2023. "Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-04046290, HAL.
    • Handle: RePEc:hal:cesptp:hal-04046290
    DOI: 10.1016/j.eneco.2023.106604
    Note: View the original document on HAL open archive server: https://hal.science/hal-04046290v1
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    References listed on IDEAS

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    Cited by:

    1. Bin Meng & Shuiyang Chen & Haibo Kuang & Hercules Haralambides & Xin Zhang, 2024. "Advances in risk management: optimum investment portfolios in tanker shipping," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(4), pages 572-591, December.
    2. Anastasia Christodoulou & Kevin Cullinane, 2024. "The prospects for, and implications of, emissions trading in shipping," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(1), pages 168-184, March.
    3. Zhang-Hangjian Chen & Xiang Gao & Apicha Insuwan, 2023. "Dynamic information spillover between Chinese carbon and stock markets under extreme weather shocks," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    4. Hercules Haralambides, 2023. "The state-of-play in maritime economics and logistics research (2017–2023)," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 429-451, September.
    5. Chen, Shuiyang & Kuang, Haibo & Bin Meng,, 2024. "The dependence structures between geopolitical risks and energy prices: New evidence from regional heterogeneity and quantile-on-quantile perspective," Energy, Elsevier, vol. 310(C).
    6. Shobande, Olatunji A. & Ogbeifun, Lawrence & Tiwari, Aviral Kumar, 2024. "Extricating the impacts of emissions trading system and energy transition on carbon intensity," Applied Energy, Elsevier, vol. 357(C).
    7. Theodoros Syriopoulos & Efthymios Roumpis & Michael Tsatsaronis, 2023. "Hedging Strategies in Carbon Emission Price Dynamics: Implications for Shipping Markets," Energies, MDPI, vol. 16(17), pages 1-27, September.
    8. Dong, Xiyong & Zhang, John F., 2024. "Heterogeneity of regional carbon emission markets in China: Evidence from multidimensional determinants," Energy Economics, Elsevier, vol. 138(C).
    9. Mohan Anantharaman & Abdullah Sardar & Rabiul Islam, 2025. "Decarbonization of Shipping and Progressing Towards Reducing Greenhouse Gas Emissions to Net Zero: A Bibliometric Analysis," Sustainability, MDPI, vol. 17(7), pages 1-24, March.
    10. Meng, Bin & Wei, Bangguo & Yang, Mo & Kuang, Haibo, 2023. "Measuring the time-frequency spillover effect among carbon markets and shipping energy markets: A global perspective," Energy Economics, Elsevier, vol. 128(C).

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