Rabi Bashir - Academia.edu (original) (raw)

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Papers by Rabi Bashir

Research paper thumbnail of Gender accessibility to credit among entrepreneurs

European Journal of Government and Economics

This study was carried out to empirically assess women entrepreneurs’ access to credit in Kano me... more This study was carried out to empirically assess women entrepreneurs’ access to credit in Kano metropolis. The study was aimed at analyzing the maximum willingness to accept loans by women entrepreneurs and exploring the major problems hindering women entrepreneurs from fundraising for businesses in Kano Metropolis. The study employed a multi-stage random sampling to select a total of three hundred and seventy-six (376) women entrepreneurs as the sample of the study. The analysis of the data was carried out using frequency count and simple percentages to analyze the demographic characteristics of the respondents. Furthermore, the inferential statistics were done using logit models to capture the specific objectives of the study. The findings of the study revealed that high interest and collateral requirement prevent women entrepreneurs from accessing a loan from financial institutions, while religious affiliation is a major factor affecting women entrepreneurs' access to credit ...

Research paper thumbnail of Gender accessibility to credit among entrepreneurs

European Journal of Government and Economics

This study was carried out to empirically assess women entrepreneurs’ access to credit in Kano me... more This study was carried out to empirically assess women entrepreneurs’ access to credit in Kano metropolis. The study was aimed at analyzing the maximum willingness to accept loans by women entrepreneurs and exploring the major problems hindering women entrepreneurs from fundraising for businesses in Kano Metropolis. The study employed a multi-stage random sampling to select a total of three hundred and seventy-six (376) women entrepreneurs as the sample of the study. The analysis of the data was carried out using frequency count and simple percentages to analyze the demographic characteristics of the respondents. Furthermore, the inferential statistics were done using logit models to capture the specific objectives of the study. The findings of the study revealed that high interest and collateral requirement prevent women entrepreneurs from accessing a loan from financial institutions, while religious affiliation is a major factor affecting women entrepreneurs' access to credit ...

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