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Shadow banking and climate change, the “hidden leaf” of green credit risk policy

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  • Roussel, Corentin

Abstract

The paper studies the influence of shadow banking on the efficiency of two important green prudential proposals for credit risk of traditional banks : the Green Supporting Factor (GSF) and the Brown Penalizing Factor (BPF). Through an environmental general equilibrium model, the paper shows that, without shadow banks in the model, the use of the BPF or GSF generates a negative relationship between banking stability and environmental benefits. By introducing shadow banks, the use of BPF allows to maintain banking stability and to generate environmental benefits at the same time. These results emphasize the need to take into account shadow banking sector in a consistent assessment of green credit risk regulation proposals.

Suggested Citation

  • Roussel, Corentin, 2024. "Shadow banking and climate change, the “hidden leaf” of green credit risk policy," Economics Letters, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:ecolet:v:243:y:2024:i:c:s0165176524003835
    DOI: 10.1016/j.econlet.2024.111899
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    References listed on IDEAS

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    1. Gebauer, Stefan & Mazelis, Falk, 2023. "Macroprudential regulation and leakage to the shadow banking sector," European Economic Review, Elsevier, vol. 154(C).
    2. Corentin Roussel, 2024. "Should new prudential regulation discriminate green credit risk ? A macrofinancial study for the Output Floor case," Working Papers of BETA 2024-07, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. D’Orazio, Paola & Popoyan, Lilit, 2019. "Fostering green investments and tackling climate-related financial risks: Which role for macroprudential policies?," Ecological Economics, Elsevier, vol. 160(C), pages 25-37.
    4. Lubello, Federico & Rouabah, Abdelaziz, 2024. "Securitization, shadow banking system and macroprudential regulation: A DSGE approach," Economic Modelling, Elsevier, vol. 131(C).
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    Cited by:

    1. Roussel, Corentin, 2025. "Assessment of the output floor in an agent-based credit network model," Economic Modelling, Elsevier, vol. 149(C).
    2. Tiwari, Aviral Kumar & Trinh, Hai Hong & Vo, Diem Thi Hong & Sharma, Gagan Deep, 2025. "How do economies decarbonize growth under finance-energy inequality? Global evidence," Energy Economics, Elsevier, vol. 142(C).
    3. Weidong Huo & Bingwen Wang, 2025. "Green Credit Policies and the Devaluation of Pollution-Intensive Enterprises: A Quasi-Natural Experiment," Sustainability, MDPI, vol. 17(5), pages 1-21, March.
    4. Deku, Solomon Y. & Morris, Diego, 2025. "Climate change and the rise of shadow banking: A global analysis," International Review of Financial Analysis, Elsevier, vol. 104(PA).

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    More about this item

    Keywords

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    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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