IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v24y2022i4d10.1007_s10668-021-01662-z.html
   My bibliography  Save this article

Developing a multi-criteria sustainable credit score system using fuzzy BWM and fuzzy TOPSIS

Author

Listed:
  • Pranith Kumar Roy

    (Indian Institute of Technology (ISM))

  • Krishnendu Shaw

    (Indian Institute of Technology (ISM))

Abstract

Sustainability has emerged as a dominating paradigm across global institutions as a critical component for their prospects. Organisations all across the globe must commit to strengthen the values as a participant in sustainable development. Financial institutions are no exception; they are also being pushed to undertake many sustainable initiatives, such as increasing socially meaningful, relevant, and sustainable projects. In addition, they may contribute to sustainable growth by enacting a green banking policy. To promote the green financing strategy, this study proposes a multi-criteria sustainable credit scoring model considering triple bottom line attributes (economic, environmental, and social) besides managerial attributes. The model is built on a novel hybrid approach that combines the fuzzy best–worst method (BWM) with the fuzzy technique for order preferences by similarity to an ideal solution (TOPSIS). The fuzzy BWM was used to weigh factors, while the fuzzy TOPSIS was utilised to evaluate borrowers. The integration of fuzzy set theory assisted in overcoming decision-making ambiguity. An empirical analysis was performed to demonstrate the utility of the proposed model. According to the study’s findings, the most important attribute for sustainable credit scoring is environmental and social sustainability and financial sustainability. On policy implications, regulators could also use the framework as a benchmark to counsel financial institutions on how to include different sustainable criteria into their credit lending process. Furthermore, financial institutions could use the proposed technique as a part of a sustainable lending policy to identify potential borrowers engaged in sustainable business.

Suggested Citation

  • Pranith Kumar Roy & Krishnendu Shaw, 2022. "Developing a multi-criteria sustainable credit score system using fuzzy BWM and fuzzy TOPSIS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5368-5399, April.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:4:d:10.1007_s10668-021-01662-z
    DOI: 10.1007/s10668-021-01662-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01662-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-021-01662-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kyriazopoulos Georgios, 2019. "Credit risk evaluation and rating for SMES using statistical approaches: the case of European SMES manufacturing sector," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(5), pages 1-4.
    2. Merikas, Andreas & Merika, Anna & Penikas, Henry I. & Surkov, Mikhail A., 2020. "The Basel II internal ratings based (IRB) model and the transition impact on the listed Greek banks," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    3. Alice Martini, 2021. "Socially responsible investing: from the ethical origins to the sustainable development framework of the European Union," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16874-16890, November.
    4. Angilella, Silvia & Mazzù, Sebastiano, 2015. "The financing of innovative SMEs: A multicriteria credit rating model," European Journal of Operational Research, Elsevier, vol. 244(2), pages 540-554.
    5. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    6. Alam Rehman & Irfan Ullah & Fakhr-e-Alam Afridi & Zain Ullah & Muhammad Zeeshan & Arif Hussain & Haseeb Ur Rahman, 2021. "Adoption of green banking practices and environmental performance in Pakistan: a demonstration of structural equation modelling," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13200-13220, September.
    7. Jubril Olakitan Atanda & Ayşe Öztürk, 2020. "Social criteria of sustainable development in relation to green building assessment tools," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(1), pages 61-87, January.
    8. 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.
    9. Manvendra Pratap Singh & Arpita Chakraborty & Mousumi Roy & Avinash Tripathi, 2021. "Developing SME sustainability disclosure index for Bombay Stock Exchange (BSE) listed manufacturing SMEs in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 399-422, January.
    10. Lutfi Abdul Razak & Mansor H. Ibrahim & Adam Ng, 2020. "Which Sustainability Dimensions Affect Credit Risk? Evidence from Corporate and Country-Level Measures," JRFM, MDPI, vol. 13(12), pages 1-22, December.
    11. Kishore Kumar & Ajai Prakash, 2020. "Managing sustainability in banking: extent of sustainable banking adaptations of banking sector in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5199-5217, August.
    12. Olaf Weber & Asadul Hoque & Mohammad Ayub Islam, 2015. "Incorporating environmental criteria into credit risk management in Bangladeshi banks," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 5(1-2), pages 1-15, April.
    13. 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.
    14. Haeussler, Carolin & Sauermann, Henry, 2013. "Credit where credit is due? The impact of project contributions and social factors on authorship and inventorship," Research Policy, Elsevier, vol. 42(3), pages 688-703.
    15. Bai, Chunguang & Shi, Baofeng & Liu, Feng & Sarkis, Joseph, 2019. "Banking credit worthiness: Evaluating the complex relationships," Omega, Elsevier, vol. 83(C), pages 26-38.
    16. André Höck & Christian Klein & Alexander Landau & Bernhard Zwergel, 2020. "The effect of environmental sustainability on credit risk," Journal of Asset Management, Palgrave Macmillan, vol. 21(2), pages 85-93, March.
    17. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    18. Guotai Chi & Zhipeng Zhang, 2017. "Multi Criteria Credit Rating Model for Small Enterprise Using a Nonparametric Method," Sustainability, MDPI, vol. 9(10), pages 1-23, October.
    19. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    20. Rodrigo Lozano, 2018. "Sustainable business models: Providing a more holistic perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1159-1166, December.
    21. Doumpos, Michalis & Figueira, José Rui, 2019. "A multicriteria outranking approach for modeling corporate credit ratings: An application of the Electre Tri-nC method," Omega, Elsevier, vol. 82(C), pages 166-180.
    22. Konrad Zimmer & Magnus Fröhling & Frank Schultmann, 2016. "Sustainable supplier management -- a review of models supporting sustainable supplier selection, monitoring and development," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1412-1442, March.
    23. Şengül, Ümran & Eren, Miraç & Eslamian Shiraz, Seyedhadi & Gezder, Volkan & Şengül, Ahmet Bilal, 2015. "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 617-625.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Göçmen Polat, Elifcan & Yücesan, Melih & Gül, Muhammet, 2023. "A comparative framework for criticality assessment of strategic raw materials in Turkey," Resources Policy, Elsevier, vol. 82(C).

    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. Pranith Kumar Roy & Krishnendu Shaw, 2021. "A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    2. Pranith Kumar Roy & Krishnendu Shaw & Alessio Ishizaka, 2023. "Developing an integrated fuzzy credit rating system for SMEs using fuzzy-BWM and fuzzy-TOPSIS-Sort-C," Annals of Operations Research, Springer, vol. 325(2), pages 1197-1229, June.
    3. Pranith K. Roy & Krishnendu Shaw, 2023. "A credit scoring model for SMEs using AHP and TOPSIS," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 372-391, January.
    4. Shi, Baofeng & Chi, Guotai & Li, Weiping, 2020. "Exploring the mismatch between credit ratings and loss-given-default: A credit risk approach," Economic Modelling, Elsevier, vol. 85(C), pages 420-428.
    5. Jingjing Long & Cuiqing Jiang & Stanko Dimitrov & Zhao Wang, 2022. "Clues from networks: quantifying relational risk for credit risk evaluation of SMEs," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-41, December.
    6. Meles, Antonio & Salerno, Dario & Sampagnaro, Gabriele & Verdoliva, Vincenzo & Zhang, Jianing, 2023. "The influence of green innovation on default risk: Evidence from Europe," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 692-710.
    7. 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).
    8. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    9. Jesús Mauricio Flórez-Parra & Gracia Rubio Martín & Carmen Rapallo Serrano, 2020. "Corporate Social Responsibility and Crowdfunding: The Experience of the Colectual Platform in Empowering Economic and Sustainable Projects," Sustainability, MDPI, vol. 12(13), pages 1-20, June.
    10. Carlo Alberto Magni & Stefano Malagoli & Andrea Marchioni & Giovanni Mastroleo, 2020. "Rating firms and sensitivity analysis," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(12), pages 1940-1958, December.
    11. David Pla-Santamaria & Mila Bravo & Javier Reig-Mullor & Francisco Salas-Molina, 2021. "A multicriteria approach to manage credit risk under strict uncertainty," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 494-523, July.
    12. Yujun Cui & Sean Geobey & Olaf Weber & Haiying Lin, 2018. "The Impact of Green Lending on Credit Risk in China," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    13. Dumrose, Maurice & Höck, André, 2023. "Corporate Carbon-Risk and Credit-Risk: The Impact of Carbon-Risk Exposure and Management on Credit Spreads in Different Regulatory Environments," Finance Research Letters, Elsevier, vol. 51(C).
    14. Yu Zhao & Huaming Du & Qing Li & Fuzhen Zhuang & Ji Liu & Gang Kou, 2022. "A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective," Papers 2211.14997, arXiv.org, revised May 2023.
    15. Mohammad S. Uddin & Guotai Chi & Mazin A. M. Al Janabi & Tabassum Habib, 2022. "Leveraging random forest in micro‐enterprises credit risk modelling for accuracy and interpretability," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3713-3729, July.
    16. Barbara Su, 2023. "Banking practices and borrowing firms’ financial reporting quality: evidence from bank cross-selling," Review of Accounting Studies, Springer, vol. 28(1), pages 201-236, March.
    17. Shaikh, Ibrahim A. & O'Brien, Jonathan Paul & Peters, Lois, 2018. "Inside directors and the underinvestment of financial slack towards R&D-intensity in high-technology firms," Journal of Business Research, Elsevier, vol. 82(C), pages 192-201.
    18. Mikel Bedayo & Gabriel Jiménez & José-Luis Peydró & Raquel Vegas, 2020. "Screening and Loan Origination Time: Lending Standards, Loan Defaults and Bank Failures," Working Papers 1215, Barcelona School of Economics.
    19. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
    20. Antonio Davila & George Foster & Xiaobin He & Carlos Shimizu, 2015. "The rise and fall of startups: Creation and destruction of revenue and jobs by young companies," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 6-35, February.

    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:spr:endesu:v:24:y:2022:i:4:d:10.1007_s10668-021-01662-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.