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Who Finances the Carbon Transition? Financial Structure, Institutional Quality, and Emissions in OECD Economies

Author

Listed:
  • Angelo Leogrande

    (LUM - Università LUM Giuseppe Degennaro = University Giuseppe Degennaro)

  • Fabio Anobile

  • Alberto Costantiello

    (LUM - Università LUM Giuseppe Degennaro = University Giuseppe Degennaro)

  • Carlo Drago

    (UNICUSANO - University Niccolò Cusano = Università Niccoló Cusano)

  • Massimo Arnone

    (Unict - Università degli studi di Catania = University of Catania)

Abstract

This study aims to examine the interrelated effects of finance structure, institutional quality, and macro-demographics on CO₂ emissions per capita in OECD countries from 2004 to 2021. Building on the conventional linear and aggregate nature of the finance-environment relationship, this study suggests an improved methodology based on a hybrid framework combining panel estimation, machine learning-based clustering, and nonlinear modeling. The empirical findings support a positive relationship between bank-based intermediation structure, represented by private credit and credit quality, and CO₂ emissions per capita, which could be explained by a scale effect. At the same time, a negative relationship is found between non-performing loans and CO₂ emissions per capita. In addition, a negative relationship is found between the assets of pension funds and mutual funds and CO₂ emissions per capita. This suggests a critical role played by long-horizon investors in offsetting the carbon footprint of economic activity. Government effectiveness is found to have a positive relationship with CO₂ emissions per capita. This could reflect development stage considerations rather than institutional failure. Finally, a weak positive relationship is found between population density and CO₂ emissions per capita. This supports scale efficiencies. The K-means clustering methodology reveals a strong structural heterogeneity in the finance-environment relationship. This supports the view that there are unique structural regimes in which similar CO₂ emissions per capita outcomes are influenced by a variety of interrelated finance structure and institutional quality drivers. In addition, the Random Forest methodology outperforms other machine learning techniques. This suggests a strong nonlinear nature in the finance-environment relationship. Finally, the empirical findings support a relatively stronger emphasis placed on structural finance structure and institutional quality variables rather than short-run macroeconomic variables in explaining variations in CO₂ emissions per capita.

Suggested Citation

  • Angelo Leogrande & Fabio Anobile & Alberto Costantiello & Carlo Drago & Massimo Arnone, 2026. "Who Finances the Carbon Transition? Financial Structure, Institutional Quality, and Emissions in OECD Economies," Working Papers hal-05526715, HAL.
  • Handle: RePEc:hal:wpaper:hal-05526715
    Note: View the original document on HAL open archive server: https://hal.science/hal-05526715v1
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    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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