Advancing Rural Entrepreneurship: Does Microfinancing Matter?

This paper examines the effect of microfinance products on the performance of rural businesses in developing economies. The study is survey research that uses multiple regression models with a sample of 228 small businesses from rural communities. Two regression models were developed and tested. The two dependent variables are: profits and sales growth. The four independent variables are: loans, savings, insurance, and education, with five control variables: gender, managerial skills, age, industry, and size. Both regression models are significant (0.000) with adjusted R-squared values > 70%. Thus, the two models are valid predictors of financial performance. The optimal strategy is to get micro-loans, education and insurance, and to have micro-savings. The study extends the literature on the microfinance drivers and other characteristics influencing the development of rural businesses in an emerging market context. The study also serves as a benchmark in utilizing scarce resources for the sustainability and performance of rural businesses. Implications for practice and research for rural entrepreneurs, microfinance institutions, and government as well as limitations and further studies, are discussed.

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Publication Details

Journal
Journal of Small Business Strategy
Published
2024-09-03
DOI
https://doi.org/10.53703/001c.117667
Citations
1
Primary Topic
Microfinance and Financial Inclusion
Type
article
Field-Weighted Citation Impact
1.13
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article

Advancing Rural Entrepreneurship: Does Microfinancing Matter?

Prince Gyimah, Richard Owusu-Afriyie, Robert N. Lussier
1 citations
Journal of Small Business Strategy
Microfinance and Financial Inclusion
1.13
article

Advancing Rural Entrepreneurship: Does Microfinancing Matter?

Prince Gyimah, Richard Owusu-Afriyie, Robert N. Lussier
article en
1 citations

Abstract

This paper examines the effect of microfinance products on the performance of rural businesses in developing economies. The study is survey research that uses multiple regression models with a sample of 228 small businesses from rural communities. Two regression models were developed and tested. The two dependent variables are: profits and sales growth. The four independent variables are: loans, savings, insurance, and education, with five control variables: gender, managerial skills, age, industry, and size. Both regression models are significant (0.000) with adjusted R-squared values > 70%. Thus, the two models are valid predictors of financial performance. The optimal strategy is to get micro-loans, education and insurance, and to have micro-savings. The study extends the literature on the microfinance drivers and other characteristics influencing the development of rural businesses in an emerging market context. The study also serves as a benchmark in utilizing scarce resources for the sustainability and performance of rural businesses. Implications for practice and research for rural entrepreneurs, microfinance institutions, and government as well as limitations and further studies, are discussed.

Journal of Small Business StrategyVol. 34(2)
Kwame Nkrumah University of Science and Technology (GH), Kwame Nkrumah University (ZM), Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (GH), Springfield College (US), Drury University (US)
Decent work and economic growth
Openalex Percentile: Top 12%
Microfinance and Financial Inclusion
1.13
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Advancing Rural Entrepreneurship: Does Microfinancing Matter? — Prince Gyimah, Richard Owusu-Afriyie, et al. · Journal of Small Business Strategy (2024) | TGRS Research Map | TGRS