The purpose of this paper is to investigate the micro determinants of the extent of credit rationing experienced by small and medium-sized enterprises (SMEs) in Ghana.
The study adopted the direct approach to investigating the presence of credit rationing. This involves the use of surveys permitting loan applicants to report on their credit market experiences. The multinomial logistic regression model was then applied to the survey data to arrive at the findings reported.
The study amongst other things confirms the existence of credit rationing in the SME sector. It also revealed that the extent to which SMEs are rationed varies and these variations are determined by the characteristic of the SME owner and the characteristics of the business.
The use of the survey method in investigating credit rationing could introduce some biases in the responses obtained. However, the lack of publicly available data did not permit the use of the indirect method which is based on the testing for possible violation of the permanent income hypothesis. Despite its weakness, the survey method remains the more realistic approach to investigating credit constraints especially in the data-constrained developing countries. The design and piloting of the questionnaire as well as the use a large sample size all went a long way to reduce any possible biases in the responses.
Despite the fact that a number of studies exist on SME financing problem in Ghana, available studies present the problem as if it were the same for all SMEs. Even though there is evidence to suggest that SMEs may be rationed in the credit market to different extents, currently, there are no known studies that have empirically investigated the various degrees of rationing and factors that determine the extent to which SMEs may be credit rationed. This paper thus attempts to contribute to the literature by unearthing these factors.
Domeher, D., Musah, G. and Poku, K. (2017), "Micro determinants of the extent of credit rationing amongst SMEs in Ghana", International Journal of Social Economics, Vol. 44 No. 12, pp. 1796-1817. https://doi.org/10.1108/IJSE-03-2016-0089Download as .RIS
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