Modelización de la autosuficiencia de las instituciones microfinancieras mediante regresión logística basada en análisis de componentes principales

Authors

  • Ana Irimia Diéguez Departamento de Economía Financiera y Dirección de Operaciones, Universidad de Sevilla, Espa˜na
  • Antonio Blanco Oliver Universidad de Sevilla, Espa˜na
  • María Dolores Oliver Alfonso Universidad de Sevilla, Espa˜na

Keywords:

Microfinance, Operational sustainability, Theory of organisational change, Self-sufficiency

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 self-sufficiency. 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%.

Doi: https://doi.org/10.1016/j.jefas.2015.12.​002

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Published

2016-06-01

How to Cite

Irimia Diéguez, A. ., Blanco Oliver, A. ., & Oliver Alfonso, M. D. . (2016). Modelización de la autosuficiencia de las instituciones microfinancieras mediante regresión logística basada en análisis de componentes principales. Journal of Economics, Finance and Administrative Science, 21(40), 30–38. Retrieved from https://revistas.esan.edu.pe/index.php/jefas/article/view/151