2007
DOI: 10.4314/gjds.v3i2.35043
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Factors Influencing the Decision to Participate in Micro-credit Programme: An Illustration for Northern Ghana

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Cited by 28 publications
(41 citation statements)
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“…Secondly, older household heads may not have the motivation to join such a platform as the level of willingness to adopt innovation declines with age. The result is consistent with Ayamga (2006) who found that as age increases, the probability of a farmer to participate in microcredit programmes in northern Ghana, decreases. However, the finding is contrary to Asante et al (2011).…”
Section: Determinants Of Multi-stakeholder Platform Participationsupporting
confidence: 90%
“…Secondly, older household heads may not have the motivation to join such a platform as the level of willingness to adopt innovation declines with age. The result is consistent with Ayamga (2006) who found that as age increases, the probability of a farmer to participate in microcredit programmes in northern Ghana, decreases. However, the finding is contrary to Asante et al (2011).…”
Section: Determinants Of Multi-stakeholder Platform Participationsupporting
confidence: 90%
“…The estimation procedure employed also resolves the problem of heteroscedasticity and constrains the conditional probability of making the decision to pay for improved waste management services lie between zero and one. The main reason for choosing the logit model over the probit model for this paper is because of its mathematical convenience and simplicity [6] and the fact that it has been applied in similar studies by [8,9] among others.…”
Section: The Theoretical and Analyticalmentioning
confidence: 99%
“…It has been used by a number of researchers in related studies (Ayamga et al, 2006;Fakayode and Rahji, 2009). Given that the utility derived from not taking the decision to do something is U i0 and the decision to do it is U i1 , then:…”
Section: The Modelling Frameworkmentioning
confidence: 99%
“…Borrowers are often allowed to have very little or no influence over the design of their own projects but when poor choices lead to lack of produce to market, they are still expected to repay credit advanced to them. Also, financial institutions such as the RBs tend to rely on already existing economic associations to identify suitable clients for loans (FAO, 2002;Ayamga et al, 2006) and this makes those not in groups not having access. Besides, where the application procedures are long and complicated, access to credit is also limited especially in situations where many of the borrowers are illiterates (Johnson, 2004).…”
Section: Introductionmentioning
confidence: 99%