IJEBM | Effect of Credit Information Bureau and Appraisal Methods on performance of Commercial Banks in Mwanza Region

Indexing and Abstracting

Effect of Credit Information Bureau and Appraisal Methods on performance of Commercial Banks in Mwanza Region

Emmanuel Pauline , Dr Viswa Nadham N

International Journal of Engineering, Business And Management(IJEBM), Vol-6,Issue-2, March - April 2022, Pages 24-38 , 10.22161/ijebm.6.2.3

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Article Info: Received: 19 Jan 2022; Received in revised form: 03 Mar 2022; Accepted: 21 Mar 2022; Available online: 29 Mar 2022

Abstract:

This study intended to identify the effect of credit information bureau and appraisal methods on performance of commercial banks in Mwanza Region. Specifically, the study intended to assess the effect of Credit Reference Bureaus’ information sharing on the credit performance of commercial banks, to assess the effect of the credit scoring appraisal method employed on the performance of commercial banks and to assess the effect of non-performing loans on the performances of Commercial Banks in the Mwanza Region. The study was guided by three theories; the theory of asymmetric information, moral hazard theory and multiple - bank lending model. The study adopted a descriptive research design, sampling 105 respondents randomly and purposefully and collected data through questionnaires. The aim is to establish the effect of credit information bureau and appraisal credit scoring methods on the performance of commercial banks in the Mwanza Region. Results revealed that credit information bureau had a positive, strong effect on the credit performance of commercial banks, and this effect is significant in Mwanza region. Non-performing loans had a positive, weak effect on the credit performance of commercial bank and it was not significant. Finally the credit scoring appraisal approach has a negative, weak effect on commercial bank credit performance. The study concluded that credit information bureau has a significant influence on credit performance of commercial banks and therefore should be used to reduce non-performing loans. The study recommended that banks should continue to use the credit reference bureau’s information-sharing services as it enhances their profitability through the reduction of non-performing loans.

Keywords:

Credit, information bureau, Appraisal, Performance, Banks.

References:

[1] Ahmad, F. (2013). Corruption and Information Sharing as Determinants of Non-Performing Loans. Bsrj, 4(1), 87–98. https://doi.org/10.2478/bsrj-2013-0008
[2] Akerlof, G. A. (1970). The Marketof Lemons. The Quarterly Journal of Economics, 84(3), 488–500.
[3] Asava, A. F. (2013). the Effect of Capital Structure on the Financial Performance of Commercial Banks in Kenya By a Research Project Submitted in Partial Fulfillment of the Requirements for the Award of the Degree of Master of Business Administration , University of Nairobi, (November).
[4] Agbloyor E, Kwadjo A., Gyeke-dako A (2017) Effect of Credit Access Function on Financial Performance of Saccos in Kenya
[5] Alhassan A (2019) Credit Information Sharing, Credit Growth and Bank Profitability: The Case Of Lesotho
[6] Alloyo, P. (2015)., The Effect of Credit Reference Bureaus on Financial Performance of Commercial Banks in Kenya. International Journal of Business and Management Invention, 2(2), pp 30–31.
[7] Al-Tamimi, H. (2002). Risk Management Practices: An Empirical Analysis of the UAE Commercial Banks. Finance India, 3, 1045-1057.
[8] Boston Consulting Group (2001). From Risk Taker to Risk Manager: Ten Principles for Establishing a Comprehensive Risk Management System for Banks.
[9] Bureau, C. R. (2013). Progress to establishment of Tanzania ’ s Credit Reference System, (April).
[10] CBK. (2014). Bank Supervision Annual Report 2014. Supervision, 86. Retrieved from http://www.centralbank.go.ke/downloads/bsd/annualreports/bsd2010.pdf
[11] Bank of Tanzania BOT., (2019). The Bank Supervision Annual Report
[12] Bank of Tanzania (BOT), (2019/2020), Annual Report
[13] Bennardo, A., Pagano, M. & Piccolo, S. (2014). Information Sharing with Multiple-Bank Lending, Mimeo, University of Salerno.
[14] Central Bank of Kenya, C.B.K. (2019). The Bank Supervision Annual Report. Retrieved 10 May 2021, from http://www.centralbank.go.ke
[15] Christopher J.M, Kadima J, D. Juma (2020) Credit Information Sharing Practices and Financial Performance of Commercial Banks in Kenya
[16] Creswell J W (2014), Qualitative, Quantitative and Mixed approaches, London Sage Publications.
[17] Fredrick W. Ndede S (2019) Bank Credit Risk and Credit Information Sharing in Africa: Does Credit Information Sharing Institutions and Context Matter?
[18] Gichimu, S. (2015). Credit Reference Bureaus, Loans Advancement and Recovery Performance by the Higher Education Loans Board of Kenya. Journal of Modern Accounting and Auditing, 4(3), 35–42
[19] Gaitho, N. (2013). Role of Credit Reference Bureaus on Credit Access in Kenya: a Survey of Commercial Banks in Kenya. European Scientific Journal, 9(13), 301–314. Retrieved from http://eujournal.net/index.php/esj/article/view/1055
[20] Haron, A. &Hin Hock, J.L. (2007). Inherent Risk: Credit and Market Risks: The Regulatory Challenge”, John Wiley & Son (Asia) Pte Ltd.
[21] IFSB, (2005).Guiding Principles of Risk Management for Institutions (Other than Insurance Institutions) Offering only Financial Services, Financial Services Board.
[22] Jackson M, Tobias O, Florence. F (2017) Effect of Information Sharing Function on Financial Performance Of Savings And Credit Co-Operative Societies
[23] Khanji, I. M., & Siam, A. Z. (2021). The effect of the credit query in reducing credit risks from the viewpoint of workers in jordanian banks. Accounting, 7(1), 119–126. https://doi.org/10.5267/j.ac.2020.10.006
[24] Kiplangat, K. H. (2015). Effect of Credit Information Sharing on the Credit Market Performance of Commercial Banks in Kenya, 5(03), 41–63.
[25] Kerage P M and Jagongo A (2018), Credit Information Sharing and Performance of Commercial Banks in Kenya, Global Journal of Commerce and Management Perspective
[26] Khanji I, A. Siam (2021) The Effect Of The Credit Query In Reducing Credit Risks From The Viewpoint Of Workers In Jordanian Banks
[27] Kinanga A .M (2016) Effect of diversification on loan default rate in non-deposit taking savings and credit cooperative societies, Kakamega county kenya
[28] Kipchumba, G. (2015), The Relationship between Credit information Sharing and Loan Book Size and Non-Performing Loans of commercial Banks in Kenya. Unpublished MBA Research Paper, University of Nairobi.
[29] Kusa, O. & Okoth, V. (2015). Determinants of Financial Performance of Commercial Banks in Kenya. International Journal of Economics and Financial Issues. 1(3), 237–257.
[30] Kusi, Baah Aye & Agbloyor, Elikplimi Komla & Ansah-Adu, Kwadjo & Gyeke-Dako, Agyapomaa, 2017. "Bank credit risk and credit information sharing in Africa: Does credit information sharing institutions and context matter?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1123-1136.
[31] Mishkin, F. S. (1991). Asymmetric information and financial crises: A historical perspective. Financial Markets and Financial Crises. Retrieved from http://www.nber.org/papers/w3400
[32] Mishkin, F. S. (1999). Global Financial Instability: Framework, Events, Issues. Journal of Economic Perspectives, 13(4), 3–20. https://doi.org/10.1257/jep.13.4.3
[33] Marobhe & Pastory (2015) The determinants of the commercial banks profitability in Tanzania
[34] Masenene (2015) The effectiveness of operational Risk Management among Tanzanian Financial Institutions Masters Degree Dissertation,
[35] Mburu L (2016), Effect of Credit information sharing on cubing non-performing loans in commercial banks of Kenya, Masters Degree Dissertation, KCA University, Kenya
[36] Mugwe M W and. Oliweny T (2017), The Effect of Credit Information Sharing on The Performance of Commercial Banks in Kenya, International Journal of Business and Commerce Vol. 5, No.03: [41-63]
[37] Muritthi J C, Wawera K M and Muturi W (2016) Effect of Credit Risk on Financial Performance of Commercial Banks Kenya, Journal of Economics and Finance, Vol 7(04):pp. 72-
[38] Mwaura D W and Jagongo A (2017), Credit Policy and Financial performance of commercial banks in Kenya, International Journal of Current Research, Vol. 9(1), pp.45912-45918
[39] Ndero, S. W., Wepukhulu, J. M., and Bogonko, J. B. (2019) "Relationship between credit appraisal and loan performance by commercial banks in uasin gishu county, kenya" European Journal of Economic and Financial Research ISSN: 2501-9430 ISSN-L: 2501-9430, Volume 3, Issue 4
[40] Ndungo J.M, Tobias .O, Florence M (2016) Effect of financial literacy on financial preparedness for retirement among permanent and pensionable employees in state owned corporations in Nairobi, Kenya
[41] Ndyagyenda, C. (2020) Credit Risk Management and Financial Performance: A Case of Bank of Africa (U) Limited. Open Journal of Business and Management, 8, 30-38. doi: 10.4236/ojbm.2020.81002.
[42] Njeru, M., Mohammed, S., and Wachira, A. (2015) "Effectiveness of credit appraisal on loan performance of commercial banks in Kenya", International Journal of Recent Engineering Research and Development (IJRERD) Volume No. 01 – Issue No. 06, ISSN: 2455-8761
[43] Njeru, M., Mohammed, S., and Wachira, A. (2017) "Effectiveness of credit management, system on loan performance of commercial banks in kenya" International Journal of Finance And Accounting ISSN (Paper) ISSN 2518-4113 (Online) Vol.2, Issue 4, No.6 pp 106-122, 2017
[44] Nshala (2017) assessed the effect of credit risk management on the financial performance of commercial banks in Tanzania
[45] Oira, S. M. &Wamugo, L. (2018). Credit information sharing and performance of selected commercial banks in Kenya. International Academic Journal of Economics and Finance, pp 21-43
[46] Omar, A. K. &Makori, D. (2018). Credit information sharing and financial performance of commercial banks in Kenya. International Academic Journal of Economics and Finance, 3(2), pp 160-178
[47] Osoro, K., M., Nyolei, J., Rotich, I., C. & Odhiambo, L., O. (2015). Credit Reference Bureau (CRB) As a Strategic control Measure and its Influence on the Financial Performance of Commercial Banks in Eldoret, Kenya. Journal of Humanities and Social Sciences. Vol 20, issue 5, ver 1, pp 44-64.
[48] Otwori, C. (2015). The Relationship between Credit Referencing and the Level of Non- Performing Loans of commercial Banks in Kenya, Unpublished MBA Research Paper, University of Nairobi.
[49] PAGANO, M., & JAPPELLI, T. (1993). Information Sharing in Credit Markets. The Journal of Finance, 48(5), 1693–1718. https://doi.org/10.1111/j.1540-6261.1993.tb05125.x
[50] Riungu, K. K. (2014). Effects of Credit Bureau Information on pfortability of commercial Banks in Kenya
[51] Pagano and Jappelli (2014). Sharing default information as a borrower discipline device, European Economic Review. Vol. 45, pp. 26–29.
[52] Pandey, I., M. (2015), Essentials of Financial management, Vikas publishing house PVT ltd.
[53] Shisia, A., Sang, W., Mutung, C., & Okibo, W. B. (2014). Assessment of Credit Reference Bureaus on the Management of Nonperforming Loans in the Banking Industry in Kenya A Case of Nairobi County, 6(23), 57–64.
[54] The World Bank report 2010-2019, https:\\www.theglobaleconomy.com/Tanzania/Non performing loans.
[55] Thuo C W (2015), Effect of credit information sharing on financial performance of commercial banks in Kenya, Masters Degree Dissertation University of Nairobi, Kenya
[56] Viswanadhan N & Nahid B (2015), Determinants of Non-Performing Loans in Commercial Banks : A study of NBC Bank Dodoma Tanzania, International Journal of Finance & Banking Studies, Volume 4 ,issue 1,pp 70-94
[57] World Bank (2020). Doing business in 2020 Kenya. Understanding regulation, World Bank and Oxford University Press, Washington DC.
[58] World Bank (2019). Doing business in 2019 Tanzania. Understanding regulation, World Bank and Oxford University Press, Washington DC.
[59] World Bank Group. 2019. Credit Reporting Knowledge Guide 2019. World Bank, Washington, DC. © World Bank. https://openknowledge.worldbank.org/handle/10986/31806 License: CC BY 3.0 IGO.”
[60] Yang, S. (2015), Analysis and Assessment of Credit Rating Model in P2P Lending: An Instrument to Solve Information Asymmetry between Lenders and Borrowers. Cambridge: Massachusetts Institute of Technology.