Modelling self-sufficiency of microfinance institutions using logistic regression based on principal component analysis

Ana Irimia-Diégueza (), Antonio Blanco-Olivera and María Dolores Oliver-Alfonso
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Ana Irimia-Diégueza: Universidad de Sevilla
Antonio Blanco-Olivera: Universidad de Sevilla
María Dolores Oliver-Alfonso: Universidad de Sevilla

Journal of Economics, Finance and Administrative Science, 2016, vol. 21, issue 40, 30-38

Abstract: The analysis of the factors that influence sustainability is the key to achieving it. Based on the Theory of Resources and Capabilities (Grant, 1991), a management model that determines the explanatory factors of the sustainability of microfinance institutions (MFI) is developed. The empirical model is constructed by applying a principal component and logistic regression analysis using a sample of 313 MFI, with 31 finance variables, grouped into 6 components/factors that are theoretically associated with selfsufficiency. The results obtained showed a significant and positive relationship between size and the efficiency-productivity of the MFI and their sustainability, with the credit risk factor having an inverse relationship as regards that sustainability. Thus, it may be suggested that the MFI that wish to continue developing their activity using a self-sufficiency approach must promote a management strategy oriented towards: (1) an increase in efficiency-productivity, (2) the exhaustive control of credit risk and,(3) the increase in size in order to achieve economies of scale. The predictive capacity of the model is high, with an area under the ROC curve of 89.7%.

Keywords: Microfinanzas; Sostenibilidad operativa; Teoría del cambio organizacional; Autosuficiencia (search for similar items in EconPapers)
JEL-codes: G21 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:ris:joefas:0097

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