IDEAS home Printed from https://ideas.repec.org/a/bdy/modfin/v3y2025i2p96-119id272.html

The nexus of blue economy, green finance, and energy commodities: A quantile VAR approach

Author

Listed:
  • Salha Ben Salem

  • Ahmed Jeribi

Abstract

The post-COVID era highlights the need for sustainable, resilient economies. This study investigates the interconnectedness between green finance, blue economy indices, clean energy assets, and energy commodities using a TVP-VAR and quantile VAR model from October 2021 to January 2024. Results show high connectedness (90–100%), with clean energy indices (OCEN, GNR) as key transmitters and oil/gas as net receivers, especially during stress periods. Spillover asymmetries across quantiles confirm non-linear risk transmission. Findings inform investors and policymakers on aligning green finance with energy policy, enhancing risk management tools, and promoting global cooperation for a just transition. This framework supports forward-looking, sustainable financial and energy strategies.

Suggested Citation

  • Salha Ben Salem & Ahmed Jeribi, 2025. "The nexus of blue economy, green finance, and energy commodities: A quantile VAR approach," Modern Finance, Modern Finance Institute, vol. 3(2), pages 96-119.
  • Handle: RePEc:bdy:modfin:v:3:y:2025:i:2:p:96-119:id:272
    as

    Download full text from publisher

    File URL: https://mf-journal.com/article/view/272
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Poponi, Daniele & Basosi, Riccardo & Kurdgelashvili, Lado, 2021. "Subsidisation cost analysis of renewable energy deployment: A case study on the Italian feed-in tariff programme for photovoltaics," Energy Policy, Elsevier, vol. 154(C).
    2. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    3. Kyriazis, Nikolaos & Corbet, Shaen, 2024. "Evaluating the dynamic connectedness of financial assets and bank indices during black-swan events: A Quantile-VAR approach," Energy Economics, Elsevier, vol. 131(C).
    4. Dogan, Eyup & Madaleno, Mara & Taskin, Dilvin & Tzeremes, Panayiotis, 2022. "Investigating the spillovers and connectedness between green finance and renewable energy sources," Renewable Energy, Elsevier, vol. 197(C), pages 709-722.
    5. Cui, Jinxin & Goh, Mark & Li, Binlin & Zou, Huiwen, 2021. "Dynamic dependence and risk connectedness among oil and stock markets: New evidence from time-frequency domain perspectives," Energy, Elsevier, vol. 216(C).
    6. Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Gabauer, David & Dwumfour, Richard Adjei, 2022. "Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investments strategies," Global Finance Journal, Elsevier, vol. 51(C).
    7. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    8. Xu, Jiaqi & She, Shengxiang & Gao, Pengpeng & Sun, Yunpeng, 2023. "Role of green finance in resource efficiency and green economic growth," Resources Policy, Elsevier, vol. 81(C).
    9. Cepoi, Cosmin-Octavian & Anghel, Dan-Gabriel & Pop, Ionuţ Daniel, 2021. "Asymmetries and flight-to-safety effects in the price discovery process of cross-listed stocks," Economic Modelling, Elsevier, vol. 98(C), pages 302-318.
    10. Sharif, Arshian & Brahim, Mariem & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "Analysis of the spillover effects between green economy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    11. Li, Menghan & Hamawandy, Nawzad Majeed & Wahid, Fazle & Rjoub, Husam & Bao, Zongke, 2021. "Renewable energy resources investment and green finance: Evidence from China," Resources Policy, Elsevier, vol. 74(C).
    12. Markus Fraundorfer & Florian Rabitz, 2020. "The Brazilian renewable energy policy framework: instrument design and coherence," Climate Policy, Taylor & Francis Journals, vol. 20(5), pages 652-660, May.
    13. Purity Maina & Balázs Gyenge & Mária Fekete-Farkas & Anett Parádi-Dolgos, 2024. "Analyzing Trends in Green Financial Instrument Issuance for Climate Finance in Capital Markets," JRFM, MDPI, vol. 17(4), pages 1-24, April.
    14. Tang, Qihe & Tong, Zhiwei & Xun, Li, 2022. "Portfolio risk analysis of excess of loss reinsurance," Insurance: Mathematics and Economics, Elsevier, vol. 102(C), pages 91-110.
    15. Lorente, Daniel Balsalobre & Mohammed, Kamel Si & Cifuentes-Faura, Javier & Shahzad, Umer, 2023. "Dynamic connectedness among climate change index, green financial assets and renewable energy markets: Novel evidence from sustainable development perspective," Renewable Energy, Elsevier, vol. 204(C), pages 94-105.
    16. Jiang, Wei & Dong, Lingfei & Liu, Xinyi, 2023. "How does COVID-19 affect the spillover effects of green finance, carbon markets, and renewable/non-renewable energy markets? Evidence from China," Energy, Elsevier, vol. 281(C).
    17. Rabeh Khalfaoui & Sami Ben Jabeur & Buhari Dogan, 2022. "The spillover effects and connectedness among green commodities, Bitcoins, and US stock markets: Evidence from the quantile VAR network," Post-Print hal-03797573, HAL.
    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. Basher, Syed Abul & Sadorsky, Perry, 2024. "Do climate change risks affect the systemic risk between the stocks of clean energy, electric vehicles, and critical minerals? Analysis under changing market conditions," Energy Economics, Elsevier, vol. 138(C).
    2. Pham, Son D. & Nguyen, Thao T.T. & Do, Hung X., 2024. "Impact of climate policy uncertainty on return spillover among green assets and portfolio implications," Energy Economics, Elsevier, vol. 134(C).
    3. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2023. "The impact of the COVID-19 pandemic and Russia-Ukraine war on multiscale spillovers in green finance markets: Evidence from lower and higher order moments," International Review of Financial Analysis, Elsevier, vol. 89(C).
    4. Polat, Onur & Ozcan, Burcu & Ertuğrul, Hasan Murat & Atılgan, Emre & Özün, Alper, 2024. "Fintech: A Conduit for sustainability and renewable energy? Evidence from R2 connectedness analysis," Resources Policy, Elsevier, vol. 94(C).
    5. Wang, Jikai & Qiao, Gaoxiu, 2025. "Extreme events and quantile time-frequency volatility connectedness across crude oil, green bonds and low-carbon equity markets," Research in International Business and Finance, Elsevier, vol. 77(PA).
    6. Liang, Chao & Goodell, John W. & Li, Xiafei, 2024. "Impacts of carbon market and climate policy uncertainties on financial and economic stability: Evidence from connectedness network analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
    7. Hanif, Waqas & El Khoury, Rim & Arfaoui, Nadia & Hammoudeh, Shawkat, 2025. "Are interconnectedness and spillover alike across green sectors during the COVID-19 and the Russia–Ukraine conflict?," Energy Economics, Elsevier, vol. 144(C).
    8. Hossain, Mohammad Razib & Ben Jabeur, Sami & Si Mohammed, Kamel & Shahzad, Umer, 2024. "Time-varying relatedness and structural changes among green growth, clean energy innovation, and carbon market amid exogenous shocks: A quantile VAR approach," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    9. Tiantian Liu & Yulian Zhang & Wenting Zhang & Shigeyuki Hamori, 2024. "Quantile Connectedness of Uncertainty Indices, Carbon Emissions, Energy, and Green Assets: Insights from Extreme Market Conditions," Energies, MDPI, vol. 17(22), pages 1-24, November.
    10. Duan, Kun & Shan, Shuwen & Huang, Yingying & Urquhart, Andrew, 2025. "How do housing markets comove with the financial system? Evidence from dynamic risk spillovers," Research in International Business and Finance, Elsevier, vol. 77(PB).
    11. Tripathi, Abhinava & Jha, Ravi Raushan & Vadhava, Charu, 2025. "A critique of the inappropriate interpretation of the quantile connectedness approach by Ando et al. (2022)," Energy Economics, Elsevier, vol. 143(C).
    12. Abid, Ilyes & BenMabrouk, Houda & Guesmi, Khaled & Mansour, Abir, 2025. "The clout of happiness and uncertainty in the environmental transition: Insights from CO2 and clean energy dynamic spillovers," Research in International Business and Finance, Elsevier, vol. 74(C).
    13. Cocca, Teodoro & Gabauer, David & Pomberger, Stefan, 2024. "Clean energy market connectedness and investment strategies: New evidence from DCC-GARCH R2 decomposed connectedness measures," Energy Economics, Elsevier, vol. 136(C).
    14. Wu, Ruirui & Li, Bin & Qin, Zhongfeng, 2024. "Spillovers and dependency between green finance and traditional energy markets under different market conditions," Energy Policy, Elsevier, vol. 192(C).
    15. Aysan, Ahmet Faruk & Batten, Jonathan & Gozgor, Giray & Khalfaoui, Rabeh & Nanaeva, Zhamal, 2024. "Metaverse and financial markets: A quantile-time-frequency connectedness analysis," Research in International Business and Finance, Elsevier, vol. 72(PB).
    16. Gabauer, David & Chatziantoniou, Ioannis & Stenfors, Alexis, 2023. "Model-free connectedness measures," Finance Research Letters, Elsevier, vol. 54(C).
    17. Lei, Heng & Xue, Minggao & Ye, Jing, 2024. "The nexus between ReFi, carbon, fossil energy, and clean energy assets: Quantile time–frequency connectedness and portfolio implications," Energy Economics, Elsevier, vol. 132(C).
    18. Billah, Mabruk & Alam, Md Rafayet & Hoque, Mohammad Enamul, 2024. "Global uncertainty and the spillover of tail risk between green and Islamic markets: A time-frequency domain approach with portfolio implications," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1416-1433.
    19. Doğan, Buhari & Trabelsi, Nader & Tiwari, Aviral Kumar & Ghosh, Sudeshna, 2023. "Dynamic dependence and causality between crude oil, green bonds, commodities, geopolitical risks, and policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 36-62.
    20. Lu, Xunfa & Huang, Nan & Mo, Jianlei & Ye, Zhitao, 2023. "Dynamics of the return and volatility connectedness among green finance markets during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 125(C).

    More about this item

    Keywords

    ;
    ;
    ;

    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:bdy:modfin:v:3:y:2025:i:2:p:96-119:id:272. 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: Adam Zaremba (email available below). General contact details of provider: https://mf-journal.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.