Abstract:
Aim: To examine women participation in microcredit and its impact on business income.
Study Design: Cross-sectional data.
Place and Duration of Study: The study was carried out from March 1 to 30, 2011 in five
districts from the Central Region of Ghana which is basically agrarian.
Methodology: A multistage randomized sampling method was used in selecting 300
business women from the five districts: Agona West Municipality; Cape Coast Metropolis;
Efutu Municipality; Mfantsiman Municipality and Upper Denkyira East District. Structured
questionnaire and interview schedule were used to elicit information from the respondents.
Information sought bordered on business income, the socio-economic characteristics of the
respondents and other factors that influence participation in microcredit. Analysis of data
was carried out using propensity score matching (PSM) approach.
Results: Results revealed that number of years in formal education, satisfaction of
Research Article
American Journal of Experimental Agriculture, 2(3): 502-515, 2012
503
application procedures, membership to business associations, amount of savings with
financial institutions, and the satisfaction of interest charges are factors that positively
influence women’s likelihood of participating in microcredit programmes. The PSM results
showed that women operating small businesses with microcredit had statistically significant
higher income compared with their non-microcredit participating counterpart.
Conclusion: It is, therefore, concluded that formal schooling, satisfaction with lending
procedures and interest as well as amount of money saved with the micro finance
institution influence their participation in the micro credit programme. Also microcredit
provides a means for increasing income of women in small scale businesses. Based on the
PSM results women in small businesses should be encouraged to participate in microcredit
as it significantly increases their income levels.
Keywords: Microcredit; small businesses; propensity score matching; counterfactual; Logit.
