IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v7y2023i3p505-515.html
   My bibliography  Save this article

Credit Risk Management and Efficiency of Savings and Credit Cooperative Society in Lagos State

Author

Listed:
  • Gbenga I . Olorunsola PhD, ACA, FCIB

    (Department of Management and Accounting, Lead City University, Ibadan, Nigeria)

  • Adedoyin Bunmi-Alo

    (Department of Banking and Finance, Covenant University, Ota, Nigeria)

  • Oyekunbi Olubukola Dele- Oladejo PhD

    (Department of Management Studies, Dominican University ,Samonda Ibadan, Nigeria)

Abstract

The objective of this study was to examine the effect of credit risk management on organizational efficiency of Savings and Credit Co-operative Society in Lagos State. The study used a survey-style descriptive research design with a quantitative research methodology. The study population covered all the credit officers and managers of Savings ad Credit Co-operative Society in Lagos state. Out of which 25 credit officers and 5 managers were chosen using purposive sampling technique. To meet the specific objectives of this study, further analysis of the data collected from the respondents were carried out using Pearson correlation and multiple regression analysis techniques. The study set out to test three variables – credit risk identification, credit risk monitoring and credit risk control on the efficiency of Savings and Credit Cooperative Societies in Lagos. The multiple regression estimation results revealed that CRI, CRM and CRC have a positive effect on organizational efficiency of savings and credit corporative society in Lagos state with the coefficient values of 0.198, 0.101 and 0.141 respectively. This study therefore recommends that Savings and Credit Co-operative Society in Lagos State should establish procedures and systems to enforce credit risk identification, monitoring and control, such as committees and principles to ensure borrowers are kept in check at all times and the credit is secured at all cost, to avoid insolvency.

Suggested Citation

  • Gbenga I . Olorunsola PhD, ACA, FCIB & Adedoyin Bunmi-Alo & Oyekunbi Olubukola Dele- Oladejo PhD, 2023. "Credit Risk Management and Efficiency of Savings and Credit Cooperative Society in Lagos State," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(3), pages 505-515, March.
  • Handle: RePEc:bcp:journl:v:7:y:2023:i:3:p:505-515
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-7-issue-3/505-515.pdf
    Download Restriction: no

    File URL: https://www.rsisinternational.org/journals/ijriss/articles/credit-risk-management-and-efficiency-of-savings-and-credit-cooperative-society-in-lagos-state/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Idowu Abiola & Awoyemi Samuel Olausi, 2014. "The Impact of Credit Risk Management on the Commercial Banks Performance in Nigeria," International Journal of Management and Sustainability, Conscientia Beam, vol. 3(5), pages 295-306.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Prof. R.W Gakure & John Karanja Ngugi & Peter Musangi Ndwiga & Simon Maina Waithaka, 2012. "Effect 0f Credit Risk Management Techniques 0n The Performance 0f Unsecured Bank Loans Employed Commercial Banks In Kenya," International Journal of Business and Social Research, LAR Center Press, vol. 2(4), pages 221-236, August.
    4. Josiah Aduda & Stephen Obondy, 2021. "Credit Risk Management and Efficiency of Savings and Credit Cooperative Societies: A Review of Literature," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(1), pages 1-7.
    5. Siva Reddy Kalluru & Sham Bhat K, 2009. "Determinants of Cost Efficiency of Commercial Banks in India," The IUP Journal of Bank Management, IUP Publications, vol. 0(2), pages 32-50, May.
    6. Kuosmanen, Timo & Johnson, Andrew, 2017. "Modeling joint production of multiple outputs in StoNED: Directional distance function approach," European Journal of Operational Research, Elsevier, vol. 262(2), pages 792-801.
    7. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    8. Prof. R.W Gakure & John Karanja Ngugi & Peter Musangi Ndwiga & Simon Maina Waithaka, 2012. "Effect 0f Credit Risk Management Techniques 0n The Performance 0f Unsecured Bank Loans Employed Commercial Banks In Kenya," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 2(4), pages 221-236, August.
    Full references (including those not matched with items on IDEAS)

    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. Josiah Aduda & Stephen Obondy, 2021. "Credit Risk Management and Efficiency of Savings and Credit Cooperative Societies: A Review of Literature," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(1), pages 1-7.
    2. Agrell, Per J. & Teusch, Jonas, 2020. "Predictability and strategic behavior under frontier regulation," Energy Policy, Elsevier, vol. 137(C).
    3. Abayomi Oredegbe, 2021. "Cost Efficiency Determinants: Evidence from the Canadian Banking Industry," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(1), pages 1-86, July.
    4. Mike Tsionas & Valentin Zelenyuk, 2021. "Goodness-of-fit in Optimizing Models of Production: A Generalization with a Bayesian Perspective," CEPA Working Papers Series WP182021, School of Economics, University of Queensland, Australia.
    5. Alexander Arévalo S & Víctor Giménez G & Diego Prior J, 2022. "Análisis de eficiencia en educación: una aplicación del método StoNED," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 92(2), pages 45-91, October.
    6. Julia Schaefer & Marcel Clermont, 2018. "Stochastic non-smooth envelopment of data for multi-dimensional output," Journal of Productivity Analysis, Springer, vol. 50(3), pages 139-154, December.
    7. Nadia M. Guerrero & Juan Aparicio & Daniel Valero-Carreras, 2022. "Combining Data Envelopment Analysis and Machine Learning," Mathematics, MDPI, vol. 10(6), pages 1-22, March.
    8. Timo Kuosmanen & Sheng Dai, 2023. "Modeling economies of scope in joint production: Convex regression of input distance function," Papers 2311.11637, arXiv.org.
    9. Arabmaldar, Aliasghar & Sahoo, Biresh K. & Ghiyasi, Mojtaba, 2023. "A generalized robust data envelopment analysis model based on directional distance function," European Journal of Operational Research, Elsevier, vol. 311(2), pages 617-632.
    10. Esteve, Miriam & Aparicio, Juan & Rodriguez-Sala, Jesus J. & Zhu, Joe, 2023. "Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull," European Journal of Operational Research, Elsevier, vol. 304(2), pages 729-744.
    11. Vitor Miguel Ribeiro & Celeste Varum & Ana Dias Daniel, 2021. "Introducing microeconomic foundation in data envelopment analysis: effects of the ex ante regulation principle on regional performance," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1215-1244, September.
    12. Alzamora, Rosa M. & Apiolaza, Luis A., 2013. "A DEA approach to assess the efficiency of radiata pine logs to produce New Zealand structural grades," Journal of Forest Economics, Elsevier, vol. 19(3), pages 221-233.
    13. Layer, Kevin & Johnson, Andrew L. & Sickles, Robin C. & Ferrier, Gary D., 2020. "Direction selection in stochastic directional distance functions," European Journal of Operational Research, Elsevier, vol. 280(1), pages 351-364.
    14. Chen, Ya & Tsionas, Mike G. & Zelenyuk, Valentin, 2021. "LASSO+DEA for small and big wide data," Omega, Elsevier, vol. 102(C).
    15. Valero-Carreras, Daniel & Aparicio, Juan & Guerrero, Nadia M., 2021. "Support vector frontiers: A new approach for estimating production functions through support vector machines," Omega, Elsevier, vol. 104(C).
    16. Ya Chen & Mike Tsionas & Valentin Zelenyuk, 2020. "LASSO DEA for small and big data," CEPA Working Papers Series WP092020, School of Economics, University of Queensland, Australia.
    17. Nguyen, Trang T.T. & Prior, Diego & Van Hemmen, Stefan, 2020. "Stochastic semi-nonparametric frontier approach for tax administration efficiency measure: Evidence from a cross-country study," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 137-153.
    18. Qiang Chen & Yabin Zhang & Lian Chen, 2021. "A Study of Internet Development and Enterprise Financing in China," Networks and Spatial Economics, Springer, vol. 21(3), pages 495-511, September.
    19. Sunil Kumar, 2013. "Banking reforms and the evolution of cost efficiency in Indian public sector banks," Economic Change and Restructuring, Springer, vol. 46(2), pages 143-182, May.
    20. España, Victor J. & Aparicio, Juan & Barber, Xavier & Esteve, Miriam, 2024. "Estimating production functions through additive models based on regression splines," European Journal of Operational Research, Elsevier, vol. 312(2), pages 684-699.

    More about this item

    Statistics

    Access and download statistics

    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:bcp:journl:v:7:y:2023:i:3:p:505-515. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://www.rsisinternational.org/journals/ijriss/ .

    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.