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Cooperative credit banks and sustainability: Towards a social credit scoring

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  • Zedda, Stefano
  • Modina, Michele
  • Gallucci, Carmen

Abstract

Cooperative Credit Banks (CCBs) play a significant role in fostering social sustainability through lending decisions. In particular, CCBs are interested in supporting socially conscious cooperatives, provided that the credit scoring process classifies them as "credit-worthy". However, existing literature overlooks how cooperatives' balance sheet equilibriums, driven by their social mission rather than profit maximization, impact credit scoring. To bridge this gap, this paper examines the influence of cooperatives’ unique balance sheet equilibriums on credit scoring. Specifically, it investigates the potential risk of sub-optimal creditworthiness assessment when CCBs use a "one-size-fits-all" model for cooperatives and non-cooperatives alike. The findings demonstrate that "tailor-made" credit scoring models for cooperatives and non-cooperatives outperform a generic one, enhancing credit classification specificity and sensitivity. These models allow for more effective credit allocation, resulting in improved economic outcomes.

Suggested Citation

  • Zedda, Stefano & Modina, Michele & Gallucci, Carmen, 2024. "Cooperative credit banks and sustainability: Towards a social credit scoring," Research in International Business and Finance, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:riibaf:v:68:y:2024:i:c:s0275531923003124
    DOI: 10.1016/j.ribaf.2023.102186
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    as
    1. David C. Wheelock & Paul W. Wilson, 2011. "Are Credit Unions Too Small?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1343-1359, November.
    2. Giulio Bottazzi & Marco Grazzi & Angelo Secchi & Federico Tamagni, 2011. "Financial and economic determinants of firm default," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 373-406, August.
    3. repec:bla:annpce:v:85:y:2014:i:4:p:683-684 is not listed on IDEAS
    4. Gunnarsson, Björn Rafn & vanden Broucke, Seppe & Baesens, Bart & Óskarsdóttir, María & Lemahieu, Wilfried, 2021. "Deep learning for credit scoring: Do or don’t?," European Journal of Operational Research, Elsevier, vol. 295(1), pages 292-305.
    5. Flavio DELBONO & Carlo REGGIANI, 2013. "Cooperative Firms And The Crisis: Evidence From Some Italian Mixed Oligopolies," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 84(4), pages 383-397, December.
    6. Altman, Edward I., 1980. "Commercial Bank Lending: Process, Credit Scoring, and Costs of Errors in Lending," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(4), pages 813-832, November.
    7. Foglia, A. & Laviola, S. & Marullo Reedtz, P., 1998. "Multiple banking relationships and the fragility of corporate borrowers," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1441-1456, October.
    8. Rosaria Ferlito & Rosario Faraci, 2022. "Business model innovation for sustainability: a new framework," Innovation & Management Review, Emerald Group Publishing Limited, vol. 19(3), pages 222-236, March.
    9. Berger, Allen N & Udell, Gregory F, 1995. "Relationship Lending and Lines of Credit in Small Firm Finance," The Journal of Business, University of Chicago Press, vol. 68(3), pages 351-381, July.
    10. Altman, Edward I. & Marco, Giancarlo & Varetto, Franco, 1994. "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 505-529, May.
    11. Yuan, Kunpeng & Chi, Guotai & Zhou, Ying & Yin, Hailei, 2022. "A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description," Research in International Business and Finance, Elsevier, vol. 59(C).
    12. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    13. Juhyun Jung & Kathleen Herbohn & Peter Clarkson, 2018. "Carbon Risk, Carbon Risk Awareness and the Cost of Debt Financing," Journal of Business Ethics, Springer, vol. 150(4), pages 1151-1171, July.
    14. Edward I. Altman & Gabriele Sabato, 2013. "MODELING CREDIT RISK FOR SMEs: EVIDENCE FROM THE US MARKET," World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 9, pages 251-279, World Scientific Publishing Co. Pte. Ltd..
    15. Wang, Dan & Chen, Zhi & Florescu, Ionuţ & Wen, Bingyang, 2023. "A sparsity algorithm for finding optimal counterfactual explanations: Application to corporate credit rating," Research in International Business and Finance, Elsevier, vol. 64(C).
    16. Begoña Gutiérrez-Nieto & Carlos Serrano-Cinca & Juan Camón-Cala, 2016. "A Credit Score System for Socially Responsible Lending," Journal of Business Ethics, Springer, vol. 133(4), pages 691-701, February.
    17. Paolo Coccorese & Sherrill Shaffer, 2021. "Cooperative banks and local economic growth," Regional Studies, Taylor & Francis Journals, vol. 55(2), pages 307-321, February.
    18. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    19. Figueiredo, Vítor & Franco, Mário, 2018. "Wine cooperatives as a form of social entrepreneurship: Empirical evidence about their impact on society," Land Use Policy, Elsevier, vol. 79(C), pages 812-821.
    20. Guido Caselli & Michele Costa & Flavio Delbono, 2022. "What do cooperative firms maximize, if at all? Evidence from Emilia‐Romagna in the pre‐Covid decade," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(4), pages 821-847, December.
    21. Jos Bijman & Constantine Iliopoulos, 2014. "Farmers' Cooperatives in the Eu: Policies, Strategies, and Organization," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 85(4), pages 497-508, December.
    22. Stefano Usai & Marco Vannini, 2005. "Banking structure and regional economic growth: lessons from Italy," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 39(4), pages 691-714, December.
    23. Anna Avrampou & Antonis Skouloudis & George Iliopoulos & Nadeem Khan, 2019. "Advancing the Sustainable Development Goals: Evidence from leading European banks," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(4), pages 743-757, July.
    24. Santiago Carbó & Jonathan Williams, 2000. "Stakeholder Value in European Savings Banks," Palgrave Macmillan Books, in: Leo Schuster (ed.), Shareholder Value Management in Banks, chapter 8, pages 134-166, Palgrave Macmillan.
    25. Grunert, Jens & Norden, Lars & Weber, Martin, 2005. "The role of non-financial factors in internal credit ratings," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 509-531, February.
    26. Nicola Raimo & Alessandra Caragnano & Marianna Zito & Filippo Vitolla & Massimo Mariani, 2021. "Extending the benefits of ESG disclosure: The effect on the cost of debt financing," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(4), pages 1412-1421, July.
    27. Lars Norden & Martin Weber, 2010. "Credit Line Usage, Checking Account Activity, and Default Risk of Bank Borrowers," The Review of Financial Studies, Society for Financial Studies, vol. 23(10), pages 3665-3699, October.
    28. Fabio CHADDAD, 2012. "Advancing The Theory Of The Cooperative Organization: The Cooperative As A True Hybrid," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 83(4), pages 445-461, December.
    29. Bergerès, Anne-Sophie & d'Astous, Philippe & Dionne, Georges, 2015. "Is there any dependence between consumer credit line utilization and default probability on a term loan? Evidence from bank-customer data," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 276-286.
    30. Syed Mohib Ali, 2022. "Sen and Sraffa: Description as Theory," Department of Economics University of Siena 882, Department of Economics, University of Siena.
    31. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    32. Franco Fiordelisi & Stefano Monferrà & Gabriele Sampagnaro, 2014. "Relationship Lending and Credit Quality," Journal of Financial Services Research, Springer;Western Finance Association, vol. 46(3), pages 295-315, December.
    33. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
    34. Andrea Cori & Mattia Granata & Keti Lelo & Salvatore Monni, 2021. "Mapping cooperatives in Italy," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(3), pages 136-163, March.
    35. Frieda Rikkers & Andre E. Thibeault, 2011. "Default prediction of small and medium-sized enterprises with industry effects," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 3(2/3), pages 207-231.
    36. Giovanni Ferri, 2017. "The Evolution of Banking Regulation in the Post-Crisis Period: Cooperative and Savings Banks’ Perspective," Palgrave Macmillan Studies in Banking and Financial Institutions, in: Ewa Miklaszewska (ed.), Institutional Diversity in Banking, chapter 1, pages 1-31, Palgrave Macmillan.
    37. McKillop, Donal & French, Declan & Quinn, Barry & Sobiech, Anna L. & Wilson, John O.S., 2020. "Cooperative financial institutions: A review of the literature," International Review of Financial Analysis, Elsevier, vol. 71(C).
    38. Becchetti, Leonardo & Ciciretti, Rocco & Paolantonio, Adriana, 2016. "The cooperative bank difference before and after the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 224-246.
    39. Eliwa, Yasser & Aboud, Ahmed & Saleh, Ahmed, 2021. "ESG practices and the cost of debt: Evidence from EU countries," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 79(C).
    40. Petersen, Mitchell A & Rajan, Raghuram G, 1994. "The Benefits of Lending Relationships: Evidence from Small Business Data," Journal of Finance, American Finance Association, vol. 49(1), pages 3-37, March.
    41. Leticia Inácio & Ivete Delai, 2022. "Sustainable banking: a systematic review of concepts and measurements," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 1-39, January.
    42. Jimenéz, Gabriel & Lopez, Jose A. & Saurina, Jesús, 2009. "Calibrating exposure at default for corporate credit lines," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 2(2), pages 121-129, March.
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