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Master's Thesis from the year 2023 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, , language: English, abstract: The main objective of this study was to examine the determinants of non-performing loans in the case of the Development Bank of Ethiopia, Bahir Dar District. Descriptive and explanatory research designs were employed. The study uses both a quantitative and qualitative research approach. The study also uses both primary and secondary data sources. The primary source was collected from all 125 employees using questionnaires and interviews conducted with concerned managerial staffs of the district. The secondary source was gathered from DBE manuals, policy and procedure of the bank, NBE directives, bank's T-24 system, loan positions and provisions documents.
The data was analyzed and interpreted by using descriptive and inferential statistics with the help of SPSS version 22.0 and qualitative analysis like interview and document analysis. The correlation between independent variables (bank specific and External factor) and dependent variables (nonperforming loan) were tested by using person correlation and the casual relation was analyzed by using linear multiple regression analysis.
The finding of the study indicate that credit assessment, project monitoring, credit appraisal, bank top management, political and social instability, availability of infrastructure, collateral strength and market factor are significant factors for occurrence of non-performing loans. However, credit term and condition and lending interest rate are insignificant factor for the occurrence of non-performing loans. Finally, the study recommends the district should perform proper selection of customers and make appropriate due diligence based on KYC assessments, proper monitoring and follow up as per the schedule, make accurate credit appraisal, granting loans via strong collateral coverage, sound decision made by top management based on policy and procedure of the bank, improve capacity of credit performer by providing relevant training.
