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Demographic factors and repayment performance of NBFI customers in Kuching

Authors: Fennee Chong; Fareiny Morni; Rosita Suhaimi;

Demographic factors and repayment performance of NBFI customers in Kuching

Abstract

The main objective of this paper is to investigate whether demographic factors affect repayment performance of the non-bank financial institution customers in Kuching, Sarawak. Data required for analysis are collected using structured questionnaire from the existing housing loan, personal loan and business loan customers of non-bank financial institutions in Kuching. Findings showed that 55% of the respondents did not pay on time. Meanwhile, 62% of the respondents are male while 38% are female. Majority of the respondents (67%) fall in the age group of 30–39. In terms of education, 70% of the respondents possess a diploma or a degree. Furthermore, 62% of the sample is either working for private companies or self-employed while 38% are government servants. Results of the logistic regression analysis showed that among all the demographic factors tested, only distance has a predictive power over repayment performance. Each one unit increase in distance increased the odds of a respondent not paying his or her loan by 0.867.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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