The use of a multinomial logistic regression model in analyzing micro enterprise financing sources in rural areas, Malaysia
An effective source of financing plays a role among micro enterprises because it can help micro-enterprises survive, function, and grow in their business. This shows that the type of financing resources needed to drive the productivity growth of micro-enterprises to build and promote the rural fin...
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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11962/1/The%20use%20of%20multinomial.pdf http://eprints.uthm.edu.my/11962/ https://doi.org/10.1063/5.0225094 |
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| Institution: | Universiti Tun Hussein Onn Malaysia |
| Language: | English |
| Summary: | An effective source of financing plays a role among micro enterprises because it can help micro-enterprises
survive, function, and grow in their business. This shows that the type of financing resources needed to drive the
productivity growth of micro-enterprises to build and promote the rural financial system is needed to drive the overall
growth of the economy in Malaysia. Microenterprises suffer from a lack of resources because small firms and involved in
the start-up stage, and lenders are not interested in providing financing for this group. The problem of this study is that
access to financing sources is one of the main obstacles to the development of micro-enterprises to build a successful
business. The main objective of this study is to examine the probability between financing problems and entrepreneurial
skills that have the highest influence on funding sources. The study respondents consisted of managers of micro-enterprises
who do business in the Batu Pahat District area. The research conducted is quantitative by using questionnaire instruments
for the purpose of data collection. A total of 118 people were made as respondents and the data obtained will be analyzed
using the Statistical Package for Social Science (SPSS) version 23.0 software. The collected data were analyzed using
descriptive analysis, correlation analysis, and binary logistic regression. The results of the study found that financing
problems and entrepreneurial skills affect funding sources with a moderate degree of tendency. In addition, the results of
this study also found that the probability ratio of micro-enterprises with entrepreneurial skills will have a better advantage in influencing effective funding sources. |
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