Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia

Kassahun Bekele Tegene

doi:doi:10.11648/j.ijafrm.20210603.12

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Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia

Kassahun Bekele Tegene

Published in International Journal of Accounting, Finance and Risk Management (Volume 6, Issue 3)

Received: 15 July 2021 Accepted: 23 July 2021 Published: 2 August 2021

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Abstract

The study examined the determinants of credit default by Micro Finance Institution borrowers the case Hawassa city. The researcher used a quantitative research approach with an explanatory research design to establish the effect of the independent variables on the dependent variable. The primary data were collected from 360 sampled borrowers of Micro Finance Institutions using a structured questionnaire. Both descriptive and inferential statistics analysis were done using SPSS version 21.0. Descriptive statistics were used to identify whether there is a large variance in data. The study also used correlation analysis to see the degree variation and direction of relationship among variables. Inferential statistics were used to test hypotheses. The researcher employed logit model to identify the impact of explanatory variables on dependent variable. The results of the study revealed that ten independent variables incorporated in the model that included gender, education, age, lack of experience, having other sources of income, lack of financial planning skill, loan diversion rate, repayment period, involvement in service sector business activity, and loan follow up have a statistically significant impact on credit default. Based on the findings of the study, the researcher forwarded possible recommendations for the Micro Finance Institutions to improve credit collection of borrowers more than the current status.

Published in	International Journal of Accounting, Finance and Risk Management (Volume 6, Issue 3)
DOI	10.11648/j.ijafrm.20210603.12
Page(s)	76-84
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Credit Default, Determinants, Microfinance Institutions, Hawassa City, Ethiopia

References

[1]	Abate M (2010). An assessment of Loan Provision and Causes for Default: A Case Study of Wisdom Microfinance Institution S. C. Wolkite (Main) Branch.
[2]	Agyepong B (2015). An Assessment of Credit Risk Management Practices Of agricultural Development Bank Limited.
[3]	Adeyemo R, Agbonlahor MU, Oke JTO (2007). An empirical Analysis of Micro credit repayment in South Western Nigeria. Human and social sciences journal 2 (1): 63-73; 2007.
[4]	Alex K (2011). Credit Policy and Loan Recovery in Microfinance Institutions: Case of Blue Microfinance Institution Kisoro. In Partial Fulfilment for the Award of Bachelor of Commerce of Makerere University, Kampala. Abafita, J. (2003) ‘Microfinance and loan repayment performance: A Case Study of the Oromiya.
[5]	Amha W (2002). Product Developmen in the Ethiopian Microfinance Industry: Challenges and Prospects. Challenges and Prospects. pp. 1–41.
[6]	Ayele Shirega (2016). Determinant of Successful Loan Repayment Performance In Project Financing In The Case Of Development Bank of Ethiopia: A Thesis Submitted to St. Mary’s University, School Of Graduate Studies, and In Partial Fulfillment of the Requirements for the Degree of Master of Accounting and Finance.
[7]	Batra AA (2018). Performance Analysis of Microfinance Institutions in Ethiopia. International Journal of Business and Management Invention (IJBMI), 55-66.
[8]	Bessie GT (2018). Loan Disbursement and Collection of Microfinance Institutions in Bale Zone. Research Journal of Finance and Accounting, 9 (9).
[9]	Borko MP (2017). Performance Evaluation of Omo Microfinance Institute in Southern Ethiopia. International Journal of Political Science and Development Vol. 5 (3), 73-79.
[10]	Berhanu A, Fufa B (2008). Repayment rate of loans from semi-formal financial institutions among small-scale farmers in Ethiopia: Two-limit Tobit analysis. J. Soc. Econ. 37: 2221-2230.
[11]	Binyam Birhanu (2013). Determinants of Non-performing Loan the Case of Development Bank of Ethiopia. A Thesis Submitted To the School Of Graduate Studies of St. Mary University College In Partial Fulfillment Of The Requirement Of Master of Science In Business Administration (MBA), Addis Ababa, Ethiopia.
[12]	CGAP (2010). Building financial services for the poor. Annual Report. (n.d.).
[13]	Field E (2008). Repayment Frequency and Default in Microfinance: Journal of European Economic Association, 6, 5., 01–509.
[14]	Fikirte K (2011). Determinant of loan repayment Performance A case Study in Addis Ababa Credit and Saving Institution. Wegeningen University: Netherlands.
[15]	Firafis Haile (2015). Determinants of loan-repayment performance: The Harari Micro Finance institutions. Journal of Agricultural Extension and Rural Development, 7 (2). PP. 56–62.
[16]	Girma Gudde Jote (2018). Determinants of Loan Repayment: The Case of Microfinance Institutions in Gedeo Zone, SNNPRS, Ethiopia. Universal Journal of Accounting and Finance 6 (3): 108-122.
[17]	Geraid Deograties (2013). Factors Affecting Loan Repayment Performance among Yam Farmers. Agris on- line Papers in Economics and Informatics, 5 (2), 111-122 https://allafrica.com/stories/201802200577.html.
[18]	Godquin M (2004). Microfinance Repayment Performance in Bangladesh: How to Improve the Allocation of Loans by MFIs. World Development, Volume 32, p. 1909–1926.
[19]	Gudeta Abara, Biniam Mengesha, PAK. Reddy (2017). Determinants of Credit Default Risk of Microfinance Institutions in Assosa Zone: IASET Journal of Financial Management, 1 (2).
[20]	Ofgaha Alemu Dire (2018). Determinants of Loan Repayment of Micro and Small Enterprises in Jimma Town, Ethiopia. Global Journal of Management and Business Research: B Economics and Commerce Volume 18 (4). PP. 47-65.
[21]	Israel GI (1992). Sampling the evidence of extension program impact,. Program evaluation.
[22]	Jansson T (July 2003). Performance Indicators for Microfinance Institutions, TECHNICALGUIDE 3rd Edition. Inter-American Development Bank, Sustainable Development Dept. Micro, Small and Medium Enterprise Division. Washington, D. C: Inter-American Development Bank.
[23]	Kifle WA (2015). Association of Ethiopian Microfinance Institutions Performance Analysis Report Bulletin-11.
[24]	Kiliswa Nancy G Kamau (2014). Major Determinants of Loan Repayment In Small Scale Enterprises In Kariobangi Division, Nairobi County.
[25]	Kothari R (2004). Research Methodology: Methods and techniques, (2nd revised ed., pp. 58-60). India Jaipur: published by new age international (p) Ltd., publishers.
[26]	RettaGuddisa (2000), ‘Women and Micro Finance: The Case of Women Fuel Wood Carriers in Addis Ababa’, M.Sc. Thesis, AAU.
[27]	Robinson M (2001). The Microfinance Revolution: Sustainable Finance for the Poor. Open. Washington, D.C.: The World Bank.
[28]	Musyoki D, Kadubo AS (2011). The impact of credit risk management on the financial performance of Banks in Kenya for the period 2000 to 2006. International Journal of Business and Public Management (ISSN: 2223-6244) Vol. 2 (2): 72-80.
[29]	Olufunso FO, Herbstand G, Lombard R (2009). An investigation into the impact of the usage of debt on the profitability of small and medium enterprises in the Buffalo city, municipality, South Africa. African journal of Business Management Vol. 4 (4), pp 373-381.
[30]	Nelson WM., Kalani VM (2009). Commercial Banking Crises in Kenya: Causes and Remedies. Global Journal of Finance and Banking Issues, Vol. 3, No. 3, 2008. Available at SSRN: http://ssrn.com/abstract=1536159. Retrieved January, 2014.
[31]	Peter Kitonga (2014). Determinants of Effective Debt Collection in Commercial Banks in Kenya. A Research Project Submitted to the Chandaria School of Business in Partial Fulfillment of the requirement for the Degree of Masters of Business Administration (MBA) to United States International University.
[32]	Shaik Abdul Majeeb PASHA, TN (2014). Performance of Loan Repayment Determinants in Ethiopian Micro Finance - An Analysis. Eurasian Journal of Business and Economics, 7 (13), 29-49.
[33]	Yamane T (1967). Statistics: An Introductory Analysis. 2nd Ed ed., New York: Harper and Row.

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APA Style

Kassahun Bekele Tegene. (2021). Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia. International Journal of Accounting, Finance and Risk Management, 6(3), 76-84. https://doi.org/10.11648/j.ijafrm.20210603.12

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ACS Style

Kassahun Bekele Tegene. Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia. Int. J. Account. Finance Risk Manag. 2021, 6(3), 76-84. doi: 10.11648/j.ijafrm.20210603.12

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AMA Style

Kassahun Bekele Tegene. Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia. Int J Account Finance Risk Manag. 2021;6(3):76-84. doi: 10.11648/j.ijafrm.20210603.12

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@article{10.11648/j.ijafrm.20210603.12,
  author = {Kassahun Bekele Tegene},
  title = {Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia},
  journal = {International Journal of Accounting, Finance and Risk Management},
  volume = {6},
  number = {3},
  pages = {76-84},
  doi = {10.11648/j.ijafrm.20210603.12},
  url = {https://doi.org/10.11648/j.ijafrm.20210603.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijafrm.20210603.12},
  abstract = {The study examined the determinants of credit default by Micro Finance Institution borrowers the case Hawassa city. The researcher used a quantitative research approach with an explanatory research design to establish the effect of the independent variables on the dependent variable. The primary data were collected from 360 sampled borrowers of Micro Finance Institutions using a structured questionnaire. Both descriptive and inferential statistics analysis were done using SPSS version 21.0. Descriptive statistics were used to identify whether there is a large variance in data. The study also used correlation analysis to see the degree variation and direction of relationship among variables. Inferential statistics were used to test hypotheses. The researcher employed logit model to identify the impact of explanatory variables on dependent variable. The results of the study revealed that ten independent variables incorporated in the model that included gender, education, age, lack of experience, having other sources of income, lack of financial planning skill, loan diversion rate, repayment period, involvement in service sector business activity, and loan follow up have a statistically significant impact on credit default. Based on the findings of the study, the researcher forwarded possible recommendations for the Micro Finance Institutions to improve credit collection of borrowers more than the current status.},
 year = {2021}
}

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TY  - JOUR
T1  - Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia
AU  - Kassahun Bekele Tegene
Y1  - 2021/08/02
PY  - 2021
N1  - https://doi.org/10.11648/j.ijafrm.20210603.12
DO  - 10.11648/j.ijafrm.20210603.12
T2  - International Journal of Accounting, Finance and Risk Management
JF  - International Journal of Accounting, Finance and Risk Management
JO  - International Journal of Accounting, Finance and Risk Management
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AB  - The study examined the determinants of credit default by Micro Finance Institution borrowers the case Hawassa city. The researcher used a quantitative research approach with an explanatory research design to establish the effect of the independent variables on the dependent variable. The primary data were collected from 360 sampled borrowers of Micro Finance Institutions using a structured questionnaire. Both descriptive and inferential statistics analysis were done using SPSS version 21.0. Descriptive statistics were used to identify whether there is a large variance in data. The study also used correlation analysis to see the degree variation and direction of relationship among variables. Inferential statistics were used to test hypotheses. The researcher employed logit model to identify the impact of explanatory variables on dependent variable. The results of the study revealed that ten independent variables incorporated in the model that included gender, education, age, lack of experience, having other sources of income, lack of financial planning skill, loan diversion rate, repayment period, involvement in service sector business activity, and loan follow up have a statistically significant impact on credit default. Based on the findings of the study, the researcher forwarded possible recommendations for the Micro Finance Institutions to improve credit collection of borrowers more than the current status.
VL  - 6
IS  - 3
ER  -

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Author Information

Kassahun Bekele Tegene

Department of Accounting and Finance, College of Business and Economics, Hawassa University, Hawassa, Ethiopia

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Plain Text BibTeX RIS

APA Style

Kassahun Bekele Tegene. (2021). Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia. International Journal of Accounting, Finance and Risk Management, 6(3), 76-84. https://doi.org/10.11648/j.ijafrm.20210603.12

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ACS Style

Kassahun Bekele Tegene. Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia. Int. J. Account. Finance Risk Manag. 2021, 6(3), 76-84. doi: 10.11648/j.ijafrm.20210603.12

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AMA Style

Kassahun Bekele Tegene. Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia. Int J Account Finance Risk Manag. 2021;6(3):76-84. doi: 10.11648/j.ijafrm.20210603.12

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@article{10.11648/j.ijafrm.20210603.12,
  author = {Kassahun Bekele Tegene},
  title = {Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia},
  journal = {International Journal of Accounting, Finance and Risk Management},
  volume = {6},
  number = {3},
  pages = {76-84},
  doi = {10.11648/j.ijafrm.20210603.12},
  url = {https://doi.org/10.11648/j.ijafrm.20210603.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijafrm.20210603.12},
  abstract = {The study examined the determinants of credit default by Micro Finance Institution borrowers the case Hawassa city. The researcher used a quantitative research approach with an explanatory research design to establish the effect of the independent variables on the dependent variable. The primary data were collected from 360 sampled borrowers of Micro Finance Institutions using a structured questionnaire. Both descriptive and inferential statistics analysis were done using SPSS version 21.0. Descriptive statistics were used to identify whether there is a large variance in data. The study also used correlation analysis to see the degree variation and direction of relationship among variables. Inferential statistics were used to test hypotheses. The researcher employed logit model to identify the impact of explanatory variables on dependent variable. The results of the study revealed that ten independent variables incorporated in the model that included gender, education, age, lack of experience, having other sources of income, lack of financial planning skill, loan diversion rate, repayment period, involvement in service sector business activity, and loan follow up have a statistically significant impact on credit default. Based on the findings of the study, the researcher forwarded possible recommendations for the Micro Finance Institutions to improve credit collection of borrowers more than the current status.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Determinants of Credit Default of Micro Finance Institution Borrowers: The Case of Hawassa City, Sidama Region, Ethiopia
AU  - Kassahun Bekele Tegene
Y1  - 2021/08/02
PY  - 2021
N1  - https://doi.org/10.11648/j.ijafrm.20210603.12
DO  - 10.11648/j.ijafrm.20210603.12
T2  - International Journal of Accounting, Finance and Risk Management
JF  - International Journal of Accounting, Finance and Risk Management
JO  - International Journal of Accounting, Finance and Risk Management
SP  - 76
EP  - 84
PB  - Science Publishing Group
SN  - 2578-9376
UR  - https://doi.org/10.11648/j.ijafrm.20210603.12
AB  - The study examined the determinants of credit default by Micro Finance Institution borrowers the case Hawassa city. The researcher used a quantitative research approach with an explanatory research design to establish the effect of the independent variables on the dependent variable. The primary data were collected from 360 sampled borrowers of Micro Finance Institutions using a structured questionnaire. Both descriptive and inferential statistics analysis were done using SPSS version 21.0. Descriptive statistics were used to identify whether there is a large variance in data. The study also used correlation analysis to see the degree variation and direction of relationship among variables. Inferential statistics were used to test hypotheses. The researcher employed logit model to identify the impact of explanatory variables on dependent variable. The results of the study revealed that ten independent variables incorporated in the model that included gender, education, age, lack of experience, having other sources of income, lack of financial planning skill, loan diversion rate, repayment period, involvement in service sector business activity, and loan follow up have a statistically significant impact on credit default. Based on the findings of the study, the researcher forwarded possible recommendations for the Micro Finance Institutions to improve credit collection of borrowers more than the current status.
VL  - 6
IS  - 3
ER  -

Copy | Download