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The impact of blue and green lending on credit portfolios: a commercial banking perspective

Author

Listed:
  • Nawazish Mirza

    (Excelia Group | La Rochelle Business School)

  • Muhammad Umar
  • Rashid Sbia

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Mangafic Jasmina

    (UNIVERSITY OF SARAJEVO - UNIVERZITET U SARAJEVU)

Abstract

Purpose The blue and green firms are notable contributors to sustainable development. Similar to other businesses in circular economies, blue and green firms also face financing constraints. This paper aims to assess whether blue and green lending help in optimizing the interest rate spreads and the likelihood of default. Design/methodology/approach This analysis is based on an unbalanced panel of banks from 20 eurozone countries for eleven years between 2012 and 2022. The key indicators of banking include interest rate spread and a market-based probability of default. The paper assesses how these indicators are influenced by exposure to green and blue firms after controlling for several exogenous factors. Findings The results show a positive relationship between green and blue lending and spread, while there is a negative link with the probability of default. This confirms that the blue and green exposure positively supports the credit portfolio both in terms of profitability and risk management. Originality/value The banking system is among the key contributors to corporate finance and to enable continuous access to sustainable finance, the banking firms must be incentivized. While many studies analyze the impact of green lending, to the best of the authors' knowledge, this study is among the very few that extend this analysis to blue economy firms

Suggested Citation

  • Nawazish Mirza & Muhammad Umar & Rashid Sbia & Mangafic Jasmina, 2024. "The impact of blue and green lending on credit portfolios: a commercial banking perspective," Post-Print hal-04678730, HAL.
    • Handle: RePEc:hal:journl:hal-04678730
    DOI: 10.1108/RAF-11-2023-0389
    Note: View the original document on HAL open archive server: https://hal.science/hal-04678730v1
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    References listed on IDEAS

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    1. Umar, Muhammad & Ji, Xiangfeng & Mirza, Nawazish & Rahat, Birjees, 2021. "The impact of resource curse on banking efficiency: Evidence from twelve oil producing countries," Resources Policy, Elsevier, vol. 72(C).
    2. Umar, Muhammad & Mirza, Nawazish & Rizvi, Syed Kumail Abbas & Naqvi, Bushra, 2022. "ESG scores and target price accuracy: Evidence from sell-side recommendations in BRICS," International Review of Financial Analysis, Elsevier, vol. 84(C).
    3. Zhu, Bo & Liang, Chao & Mirza, Nawazish & Umar, Muhammad, 2023. "What drives gearing in early-stage firms? Evidence from blue economy startups," Journal of Business Research, Elsevier, vol. 161(C).
    4. Mirza, Nawazish & Afzal, Ayesha & Umar, Muhammad & Skare, Marinko, 2023. "The impact of green lending on banking performance: Evidence from SME credit portfolios in the BRIC," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 843-850.
    5. Jamila Abaidi Hasnaoui & Amir Hasnaoui, 2022. "How does human capital efficiency impact credit risk?: the case of commercial banks in the GCC," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 23(5), pages 639-651, September.
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    7. Chen, Zhonglu & Umar, Muhammad & Su, Chi-Wei & Mirza, Nawazish, 2023. "Renewable energy, credit portfolios and intermediation spread: Evidence from the banking sector in BRICS," Renewable Energy, Elsevier, vol. 208(C), pages 561-566.
    8. Johannes Kabderian Dreyer & Mateus Moreira & William T. Smith & Vivek Sharma, 2023. "Do environmental, social and governance practices affect portfolio returns? Evidence from the US stock market from 2002 to 2020," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 22(1), pages 37-61, January.
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    11. Li, Jing-Ping & Mirza, Nawazish & Rahat, Birjees & Xiong, Deping, 2020. "Machine learning and credit ratings prediction in the age of fourth industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
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    1. Sun, Tingting & Mirza, Nawazish & Umar, Muhammad & Ktaish, Farah, 2024. "When interest rates rise, ESG is still relevant – The case of banking firms," Finance Research Letters, Elsevier, vol. 69(PB).

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