Influence of Micro Determinants on Financial Performance of Microfinance Institutions in Nairobi County, Kenya
View/ Open
Date
2023-08Author
James, Margaret Wanja
Type
ThesisLanguage
enMetadata
Show full item recordAbstract
MFIs have a goal of accepting client’s deposit and act as financial lenders such that they
operate within the laid down policy structure. This structure should be developed by highly
experienced board members whose decisions influence positively the general direction of
the operations. The general objective of the study was to determine the influence of micro
determinants on financial performance of microfinance institutions in Nairobi County,
Kenya. The specific objectives were to assess the influence of capital structure, product
diversification, credit risk management and board members’ composition on financial
performance of microfinance institutions in Nairobi County, Kenya. The study was guided
by three theories whereby pecking order theory guided capital structure, resource-based
view theory guided product diversification and composition of board members; and credit
risk theory guided credit risk management variable. Notably, the study applied descriptive
research design during the collection of data. The study’s target population was 14
microfinance banks registered and regulated by the CBK. Further, the respondents were 19
operations managers, 34 tellers, 40 credit officers, and 28 customer care officers. The study
collected primary and secondary data whereby close-ended questionnaires and secondary
data collection form was used respectively. The study conducted a pre-test study of the
questionnaires in Cooperative bank and I&M banks in Nairobi County. Further, the study
tested reliability through the Cronbach Alpha coefficients. Notably, the study assessed
criterion, construct and face types of validity. Further, quantitative data was analyzed using
SPSS software version 25 to generate descriptive and inferential statistics. The various
descriptive analysis was frequencies, percentage and mean, while linear and multiple
regression analysis was done as part of inferential statistics analysis. The conclusion made
on capital structure was that MFIs’ management had failed to balance between raising their
capital from the share capital and other forms of funding. On product diversification, the
management failed to incorporate various improvement suggestions made on the different
implemented products. On credit management, there were poor debt recovery methods in
the branches leading to numerous default rates. On board members, they lacked a policy
framework on the frequency and range of timelines when decision should be made and if
they did, they did not put it into practice. The study recommends on capital structure that
the MFIs’ board of management should provide a reliable policy framework on payment
structure. On product diversification, the management of MFIs should commission a
special committee of expert to review the requirement of each and every product being
offered. On credit management, there should be a thorough audit of the ICT financial
systems used by the MFI to ensure that it works seamlessly. On board members
composition, there should be a clear framework developed through a consensus meeting
with shareholders’ representative
Publisher
KeMU