Assessment of Credit Risk Identification on Loan Repayment Performance of Saccos in Imenti South Sub-county, Meru, Kenya
نویسندگان
چکیده
With the emergence of COVID-19 pandemic economic status in country has drastically changed due to loss livelihood many citizens. Repayment loans been affected and thus there is need assess effect credit risk identification on loan repayment performance SACCOs Imenti South Sub-county, Meru. The study adopted a correlation research design establish relationship between independent dependent variables. target population for this was 36 employees employed by Sub County. sample size respondents since census carried out get information Data were collected use questionnaire from respondents. regression analysis model applied researcher determine association Results have presented using frequency tables, graphs pie charts. To ensure that ethical consideration taken into account, obtained informed consent participants so only who agreed participated voluntarily. also honest used only. found identifying an impact how well are repaid. This shown significance threshold identification, which 0.0174–0.05, showing substantial link payback performance. Identification important order improve management control hazards may face. should proper practices such as having clearly defined process reporting training all staff avoid defaults.
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ژورنال
عنوان ژورنال: Asian journal of economics, business and accounting
سال: 2022
ISSN: ['2456-639X']
DOI: https://doi.org/10.9734/ajeba/2022/v22i23877