| dc.description.abstract |
The banking industry has in the past been faced with the challenges of obtaining
comprehensive information on clients’ repayment history for use during the credit
assessment process and eventual disbursement of loans. This has led to poor lending
decisions as defaulters move from one bank to another to secure credit facilities. The
general objective of this study was to assess the influence of credit reference bureaus on
commercial banks credit lending decisions in Kenya. The specific objectives of the study
were to examine how the following factors impacted credit lending decisions by
commercial banks in Kenya: borrower credit reports, borrower future credit risk
identification and borrower repayment ability. The study was supported by the following
theories: credit rationing, modern portfolio, corporate risk management and agency
theories. This research adopted a cross-sectional survey research design aimed at
collecting large number of quantitative data at a point in time to address the formulated
hypotheses. The target population was 41 commercial banks, which in total have 51
branches in Mombasa County in Kenya. Census procedure was used; hence, all banks in
Mombasa County were included in the study. The study collected data from all the
respondents in the rank of branch managers, credit managers, and mortgage managers
from all commercial banks in Mombasa County in Kenya. Primary data was collected by
use of structured questionnaires which was distributed through the drop and pick method.
Data analysis was by descriptive statistics and inferential statistics using Statistical
Package for Social Sciences (SPSS) version 24. The study analyzed data through means,
medians and standard deviations as descriptive statistics while correlation, regression and
ANOVA analysis were the inferential statistics used. The data was presented by the use
of tables and figures for purpose of giving a pictorial view of the results. The study
provided a clear-cut mechanism of lending decisions and efficiency to the business
fraternity in Mombasa. The study revealed that credit referencing, Credit information
sharing, Borrower credit reports and Borrower repayment ability had a statistically
significant influence on commercial banks’ credit lending decisions in Kenya as their R2
and Anova were 63.6% and F = 39.249, p = 0.000 respectively. The study recommended
that commercial banks in Kenya should continue working closely with credit referencing
and improvise real time reports sharing mechanisms so as to boost commercial banks’
credit lending decisions in Kenya. The study was important since it is likely to lead to led
to awareness in the commercial bank’s credit lending decisions. This study has a
possibility of being used as a benchmark to borrowing and lending in future. |
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