- Title
- The determinants of loan delinquency among co-operative financial institutions in South Africa
- Creator
- Bixa, Sisipho
- Subject
- Financial institutions -- South Africa
- Subject
- Loans
- Date Issued
- 2022-04
- Date
- 2022-04
- Type
- Master's theses
- Type
- text
- Identifier
- http://hdl.handle.net/10948/57546
- Identifier
- vital:58064
- Description
- The world's attention has been drawn to co-operatives since the 2008 financial crisis because of their resilience and ability to prosper in adverse economic situations. Co-operatives, particularly Co-operative Financial Institutions (CFIs), have increased their participation, proving to be a channel for increasing access to finance for the previously unbanked, poverty reduction, and sustained socioeconomic growth across the African continent. Co-operatives have the potential to be a catalyst for long-term growth, which is especially important in a country like South Africa, yet they have been failing owing to loan default. Loan delinquency is a major threat to CFI's ability to continue granting loans to loan applicants and to grow the business. CFIs are unable to recoup the monies they have provided to loan borrowers, as the default rate has steadily increased. This influences the CFIs' financial obligations. The financial growth of CFIs is vital, and failure to keeping cash in circulation has an impact on their fundamental business. In South Africa, CFIs have observed a surge in loan defaults since 2010. Proper loan appraisals, timely reminders of loan recipients' repayments, and escalation on prompt follow-up on loan defaulters all are priorities for CFI management. Despite the efforts of CFIs to reduce delinquency, it has continuously increased. The objective of this study was to figure out what factors influence loan delinquency among CFIs. The study looked at an average of 47 CFIs in South Africa. Another objective of this study was to investigate the extent of loan delinquency among South African CFIs. The study used a quantitative approach, with secondary data obtained from CBDA. Descriptive statistics were used to evaluate the model's goodness of fit. The computed results show that this study has only one-way cross-sectional effects. In this example, the null hypothesis of the Breusch-Pagan (BP) test of "POLS is appropriate" is rejected. According to the descriptive statistics presented in the following section, the null hypothesis of regularly distributed data is not rejected. Pearson correlation was used to determine whether there was a relationship between the control variables and the dependent variable. The least squares regression output from the study was presented in the final section. Finally, GLS regression with random effects was used to examine the relationship between total loan delinquency and the dependent variables. x The research looked at seven independent variables: share league/affiliation, the proportion of women in total membership, youth savings, interest rates, total account receivables, and loan portfolio. However, the results of youth savings, interest rate, and total savings deposits may not be reliable because they are statistically insignificant. According to the study, financial institutions should provide easily accessible and accurate payment methods to encourage borrowers to pay on time. This can be accomplished by creating a website. In addition, CFIs/credit intuitions use a share league/affiliation method to maximize their responsible ownership and investigate why women's membership leads to lower loan delinquency.
- Description
- Thesis (MA) -- Faculty of Business and Economic science , 2022
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (x, 102 pages)
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Business and Economic science
- Language
- English
- Rights
- Nelson Mandela University
- Rights
- All Rights Reserved
- Rights
- Open Access
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NMU School for Economics, Development and Tourism
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Bixa, S.pdf | 1 MB | Adobe Acrobat PDF | View Details Download |